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 81% of our research outputs are internationally excellent

You can be at the forefront of the next big advance in computing with our BSc (Hons) Data Science course. 

From e-commerce to healthcare and finance, data scientists make sense of vast quantities of information, pioneering new products and life-saving drugs, and helping organisations to work smarter.

Data science will transform the next decade - changing businesses, the economy, and how we live our lives. It will continue to be one of the most in-demand career paths for trained professionals. And you can be part of it at Northumbria University, Newcastle.

 

What will I study on the BSc in Data Science?

You will start with computer science essentials in your first year, such as computer programming, data management, and cloud computing, before moving on to key topics in artificial intelligence, algorithms and data structures, data mining, data visualisation, data analytics, and big data.

 

Will I get professional experience on the BSc in Data Science?

Throughout your studies, you will have plenty of opportunities to practice your skills. You will take part in a business consultancy project in your second year, delivering solutions to real-world problems This can be here in Newcastle or at our partner campus in London.

As well as this, you can opt for an optional year in industry or studying abroad. This can be a great opportunity to develop and enhance your intellectual and professional skills, broadening your overall learning experience.

 

Course Information

UCAS Code
G415

Level of Study
Undergraduate

Mode of Study
3 years full-time or 4 years with a placement (sandwich)/study abroad

Department
Computer and Information Sciences

Location
City Campus, Northumbria University

City
Newcastle

Start
September 2023

Fee Information

Module Information

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Book An Open Day / Experience BSc (Hons) Data Science

Visit an Open Day to get an insight into what it's like to study BSc (Hons) Data Science. Speak to staff and students from the course and get a tour of the facilities.

Entry Requirements 2023/24

Standard Entry

120 UCAS Tariff points

From a combination of acceptable Level 3 qualifications which may include: A-level, T Level, BTEC Diplomas/Extended Diplomas, Scottish and Irish Highers, Access to HE Diplomas, or the International Baccalaureate.

Find out how many points your qualifications are worth by using the UCAS Tariff calculator: www.ucas.com/ucas/tariff-calculator

Subject Requirements:

There are no specific subject requirements for this course.

GCSE Requirements:

Applicants will need Maths and English Language at minimum grade 4/C, or an equivalent.

Additional Requirements:

There are no additional requirements for this course.

International Qualifications:

We welcome applicants with a range of qualifications which may not match those shown above.

If you have qualifications from outside the UK, find out what you need by visiting www.northumbria.ac.uk/yourcountry

English Language Requirements:

International applicants should have a minimum overall IELTS (Academic) score of 6.0 with 5.5 in each component (or an approved equivalent*).

*The university accepts a large number of UK and International Qualifications in place of IELTS. You can find details of acceptable tests and the required grades in our English Language section: www.northumbria.ac.uk/englishqualifications

Fees and Funding 2023/24 Entry

UK Fee in Year 1: £9,250

* The maximum tuition fee that we are permitted to charge for UK students is set by government. Tuition fees may increase in each subsequent academic year of your course, these are subject to government regulations and in line with inflation.


EU Fee in Year 1: £19,000

International Fee in Year 1: £19,000


Scholarships for 23/24 are currently being announced.  Please see the main Funding Pages for more information




ADDITIONAL COSTS

There are no Additional Costs

If you’d like to receive the latest updates from Northumbria about our courses, events, finance & funding then enter your details below.

* At Northumbria we are strongly committed to protecting the privacy of personal data. To view the University’s Privacy Notice please click here

Modules

Module information is indicative and is reviewed annually therefore may be subject to change. Applicants will be informed if there are any changes.

KV4004 -

AI Fundamentals (Core,20 Credits)

This module will give you a foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This module will help you demonstrate knowledge of common ML and AI workloads. In addition, ‘AI Fundamentals’ will guide you through hands-on sessions and workshops on how to implement common ML and AI workloads on MS Azure.
‘AI Fundamentals’ will prepare you for later modules, as well as for a placement in your third year. Employers look for skilled graduates with industry-recognised and technology-based certifications such as the MS Azure AI Fundamentals AI-900. Employers are seeking talented individuals who can work as members of a team in understanding, analysing, and designing AI solutions leading to sustainable growth, change and impact and applying effective, responsible and ethical AI-enabled techniques.

During ‘AI Fundamentals’, students will work through a series of workshops and exercises relying on state-of-the-art AI technologies and Cloud Computing such as MS Azure. Furthermore, students will make use of Northumbria’s state-of-the-art computer labs. Students will also critically engage with research outputs as part of their research-rich learning.

One of the elements in the assessment (50% of the final mark) will be to produce a 2000 words critical reflection on an AI topic which will be set each year. Students will have to choose a more specific subject related to the AI topic, provide a literature review, identify and discuss the problematic and challenging issues related to the topic, propose and implement a solution to address the identified issues. This assessment will require desk-based research, furthering understanding developed through the lecture material provided.
The second element in the assessment (50% of the final mark) is a presentation of the practical work done in the first assessment, the implementation approach and a discussion of the findings.

‘AI fundamentals’ lectures and workshops will help students prepare for the AI Fundamentals certification exam (AI-900). This certification can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate which are much sought-after by recruiters.

More information

KV4006 -

Computational Thinking (Core,20 Credits)

Thinking like a computer scientist means more than being able to program a computer. It requires solving problems at multiple levels of abstraction. Before any programming begins the solution to the problem must be understood. Using real world case studies, in this module you will develop skills to decode client’s problems developing skills of abstraction and systems design to specify solutions. A key skill employers seek is the ability to solve problems, in this module you will develop computational thinking to achieve this. Computational thinking is a range of mental tools such as algorithms, modelling, logic, generalisation, decomposition, abstraction, pattern recognition and others that reflect the full breadth of Computer Science. Computational thinking is about solving problems, designing systems and understanding human behaviour. This module will teach you to reformulate seemingly difficult problems into solvable ones by using processes such as reduction, embedding, transformation or simulation.

Computational thinking can be applied to a wide variety of subject areas beyond computing, to the sciences, the arts and business. Whether developing a start-up for the latest sustainable product or fighting for social justice you will learn to be able to apply computational thinking’s vocabulary (for example algorithm, precondition, non-determinism, etc.) to many non-digital problems. In this module you will learn not to program but to conceptualize. You will learn not by rote skill, but instead by leveraging fundamental principles, by engaging with ideas not artefacts, and by embedding learning and exploration in your experience. Computational thinking has implications for everyone, everywhere and it will be integral to your future in both digital and real-life endeavours.

During ‘Computational thinking’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The principal element of assessment will be a workbook that will hold your responses and reflections to a number of exercises and assessment points.

More information

KV4007 -

Computers & Society (Core,20 Credits)

This module will open your eyes to the harmful impacts that seemingly mundane actions and decisions taken (or lack thereof) during the development of technology may have on people’s lives and livelihoods. It provides a foundation knowledge of the key harms caused by technological developments and their application to the wider society, covering topics including techno solutionism and responsible design of technology.

‘Computers & Society’ will prepare you for further modules in your program of study where you will need to be able to use evidence-driven research and critical reflection on technology design as well as for your final year project and any placement years or consultancy projects you might undertake. Increasingly, employers are looking for computing professionals who can go beyond the mere functional analysis and design of new technologies to doing so in a responsible manner by anticipating societal impacts that might arise through their design.

During ‘Computers & Society’ you will engage in research-rich critical analyses of harm arising through the development of technology, learn how to develop evidence-driven arguments, and position yourself as a responsible computing professional by identifying what harms you might unintentionally contribute to, and how you might avoid or mitigate doing so. The main element in assessment (70%) will be a final research-driven report that will bring together all your new skills and knowledge and allow you to position yourself as a responsible computing professional.

More information

KV4008 -

Computing Fundamentals (Core,20 Credits)

This module aims to provide you with a theoretical and practical foundation required to understand the fundamental underpinnings of a computing system. You will be introduced to the basic concepts involved in computer software, information representation and the operations and components used in computer architectures. You will gain an understanding of the underlying theory of computation as well as the major computational and programming paradigms. To complement this theoretical underpinning, you will also study the standard von Neumann computer architecture and von Neumann machine programming.

This module will help you develop logical reasoning, computational thinking and problem-solving skills employers look for. An introductory understanding of computer architecture and assembly programming improves your career options in areas such as embedded systems. Practising and developing mathematical skills and problem-solving improves your employability and allows you to develop this area further at later stages of the programme. A broad understanding of the theoretical principles of computing allows you to extend this understanding into areas of theoretical research. It also allows you to engage with wider discussions in the computing community. The module examines current computational paradigms and principles of design of computer hardware and their environmental impact.

More information

KV4009 -

Data Fundamentals (Core,20 Credits)

This module focuses on core data concepts, and the design, implementation and use of database systems. It introduces database systems, the tools for manipulating data in databases, and design principles that ensure data security and integrity. Topics include database management systems architecture, data modelling and database design, query languages, data preparation and cleansing techniques and security, legal and ethical issues concerning the use of databases in society. You will consider issues such as the sustainability of data, and the ethics of responsible data capture and use.

You will work with database systems and data services used in industry. The module follows some of the same topics as the MS Azure Data Fundamentals (DP-900) certification course, therefore students may wish to pursue this certification during their programme.
During ‘Data Fundamentals’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs. You will also engage with research outputs as part of your research-rich learning. One assessment component (50%) will be a written report that demonstrates your understanding of ethical, legal and security related issues concerning data and databases, based on current research. The other assessment component (50%) will be a practical assessment that assesses your knowledge and skills relating to key data concepts, analysis, and techniques.

‘Data Fundamentals’ will prepare you for later modules such as ‘Data Mining’, as well as for a placement in your third year. Employers are looking for skilled graduates who have technology-based certifications such as MS Azure Data Fundamentals (DP-900) that validate their skills in analysing data and applying effective solutions to computing problems.

More information

KV4012 -

Programming (Core,20 Credits)

During this module you will learn how to create software using a high level programming language such as Python. You will learn to select and apply standard programming structures for appropriate situations. The module will cover the use of variables, conditions, loops, subprograms, abstraction mechanisms and structured data types. You will learn to apply your skills using a professional development library to build interactive user interfaces such as Flex.

You will practise solving problems by breaking them down into smaller tasks. As well as constructing software that works, you will also start to consider the quality of your code and produce software that is reliable and maintainable by working to professional standards. You will learn to test, debug and maintain software of an appropriate size and to manage your time in constructing well-structured software products. We will study one programming language in detail on this module. This course will powerfully contribute to your employability by beginning your journey into software development, a skill which many employers will test before interview. As the course develops you will get to use professional software development libraries to aid your graduate employability. You will be encouraged and supported to go beyond the essential skills in and advance your development experience.

During ‘Programming’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The main elements of assessment are a number of programming assignments that will bring together all your new skills and techniques.

More information

KV5033 -

Algorithms and Data Structures (Core,20 Credits)

This module will extend your understanding of system development. You will cover the algorithms theory, implementation and processing of appropriate data structures within the context of an industry-standard approach. In particular, this module will provide the knowledge to make the application faster and scalable in terms of the time complexity and properties of key algorithms and data structures. This module will also present a practical experience of implementing a range of algorithms and program testing and how to apply them in high performance computing. This module will prepare you for a placement in your third year by providing you with the common interview questions. Employers are looking for skilled programmers who can analyse the algorithms and make the appropriate selection of data structures for the project. During this module, you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The main element in assessment (100%) will be a final code solution assignment that will bring together all your new skills and techniques.

More information

KV5035 -

Software Architecture (Optional,20 Credits)

This module will give you the essential foundation in object-oriented software architecture and design patterns. You will be introduced to the basic concepts and architectural styles and implementations. A wide range of topics in design patterns will be covered, including pattern languages and catalog, creational, structural, and behavioural design patterns.

‘Software Architecture’ will prepare you for later modules which focuses on software development in your final year. Employers are looking for skilled software architects who can work as individuals and as members of a team in making high-level design choices and framing technical standards.

During ‘Software Architecture’ you will work through practical exercises, making use of Northumbria’s state-of-the-art computer labs. You will also critically engage with research outputs as part of your research-rich learning. The assessment (100%) will be a final assignment to produce an object-oriented design for a software system and then will reflect on its appropriateness in a report.

The teaching on this module will conform to Northumbria’s EDI standards for accessibility and respect for all.

More information

KV5036 -

Computer Vision (Optional,20 Credits)

This module will give you a good understanding of the implementation and programming of computer vision systems. You will be taught the fundamental concepts of how computers are used to gain insight into the contents of images and videos.

You will develop a computer vision system that is designed for a specific application, for example the detection and classification of speed limit signs for an autonomous car, the detection and recognition of a face for secure access systems, or the detection and classification of human activity in a video.

More information

KV5037 -

Computing Consultancy Project (Optional,20 Credits)

This module is a practical hands-on application of business principles. It aims to put you – and a group of your peers - into the real-world situation of solving problems for businesses. This will include contacting the client to negotiate, agree and confirm initial project requirements and then working towards a deliverable that is acceptable to the client within the given time frame. This process requires the application and development of several key skills associated with project management and consultancy such as team organisation, working with others, planning and timekeeping. Employers are looking for students with these transferable skills who can adapt and work as individuals and as members of a team in analysing computing problems and applying effective programming solutions.

The consultancy projects vary year-on-year many technology-based and, therefore, students are expected to use and develop their own expertise in this area. At the end of the module, each group will be expected to present their findings in report format and to give a formal presentation for the benefit of the tutors and the client. The projects will be supplemented by lectures and seminars introducing the skills required for such consultancy and project management work especially during the first third of the module.

More information

KV5039 -

Data Mining (Core,20 Credits)

This module will give you an essential foundation to focus on extraction of implicit and potentially useful information form data which is used in commercial, scientific and other application areas. The module combines both theoretical and practical approaches, so you have the skills to tackle problems in various realistic business settings.

This module introduces the trends, tools, and current developments in the area of data mining and its practical applications. The module covers key background for critical understanding of data mining including relevant professional, ethical, social and legal aspects. It covers topics such as labelled and unlabelled data, supervised and unsupervised learning, algorithms and techniques for feature extraction, data for data mining, outlier detection, topic modelling and prediction of complex unstructured data sets, and dealing with large volumes of data. The module is primarily concerned with the data mining of real-world environments (e.g., datasets from businesses, industries) and to uncover patterns, find anomalies and relationships that can be used to make prediction about future trends.

More information

KV5040 -

Data Visualization (Optional,20 Credits)

This module takes your knowledge of computer programming and uses those skills to develop an understanding of the theory and practice of data visualization. Data visualization is an essential part every data scientist’s toolkit. Using a range of visualization techniques and tools you will be able to explore complex datasets and communicate the findings of your data analysis activities. The wide availability of dashboards, programming languages such as R and Python, and interactive literate programming environments such as Jupyter Lab and Google Colab have made data visualization an essential and much sought-after skill.

Employers are seeking people who can analyse their datasets and use visualization techniques to generate rich insights into the real-world processes and phenomena from which the datasets were generated. These insights are then used to create value for the employer by, for example, improving practice, generating new leads, identifying productivity challenges, and so forth.

You will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs to anaylse and visualize a range of datasets. You will also critically engage with research outputs as part of your research-rich learning. The main assessment will be a data visualization assignment that will bring together your newly developed skills and techniques and apply them to a data analysis and visualization problem which will be written up in the form of a research article supported by the source code of your visualization solution.

More information

KV5041 -

Digital Forensics Incident Response (Optional,20 Credits)

This module provides a broad and practical introduction to the fundamentals of digital security and forensics. The module will foster your skills in problem solving by applying investigative skills within the strict boundaries of the law and in keeping with ethical and professional codes of practice. Increasingly, employers are looking for network and cybersecurity professionals who understand how digital forensics can support the response to cybersecurity incidents, an area of digital forensics known as digital forensics incident response (DFIR). This module will provide you with the knowledge and skills to understand this area of cyber security.

The theoretical material on digital security and forensics will be re-enforced through the analysis and discussion of case studies in seminar sessions as well as sessions on the use of security and digital forensics tools in the analysis of chosen case studies in lab-based practical sessions.

You will develop analytical and evaluative skills in the appropriate use of industry software for solving problems in a variety of DFIR environments and problem situations. The ethical responsibilities of studying digital security and forensics and the need to address personal and professional integrity will be included in the module.

You will also critically engage with research outputs as part of your research-rich learning. The main element in assessment (100%) will be a written report that will bring together all your new skills and techniques.

More information

KV5046 -

Human-Centered AI (Core,20 Credits)

Artificial Intelligence (AI) is rapidly changing the role of technologies in decision making processes and transforming our everyday interactions with digital systems. Human-Centered AI approaches seek to synthesize machine intelligences with human-centered thinking to conceptualise and design intelligent systems that seek to empower people and society. This module will introduce you to Human-Centered Artificial Intelligence (HCAI), where we will explore human-centered design principles and methods to envision AI systems. This module will not provide technical exploration on machine learning, statistical analysis or data modelling – instead it focuses on human-factors in the design of AI systems, and the interactions between Humans and AI (e.g., Human-AI collaboration, human-in-the-loop decision-making, interacting with chatbots and robots).

In this module you will specifically explore how to design, develop, critique interactive AI technologies from a human-centred perspective. Indicative topics that we will cover include (but are not limited to):

• User-centred design (UCD) lifecycle
• Human-AI Interaction (including ethics, trust, interpretability, transparency, and fairness)
• Understanding users, context, and social interactions,
• Prototyping techniques for interface design: low and high fidelity

Research-rich learning is heavily embedded in this module, by engaging with the latest HCAI, HCI and AI research; and conducting your own UCD research. You will be taught by academics who have published extensively in the field of HCI and Intelligent Systems. The module is designed to give you a knowledge and understanding of how to design and critically assess the human impact of AI system; while providing practical skills to enable you to design new Human-Centered AI systems.

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KV5048 -

IT Service Management (Optional,20 Credits)

This module will give you an understanding of the principles, concepts and practices of IT Service Management and the associated areas of Project Management, Value Management, and Change Management. These skills are essential to the successful use of Information Technology within organisations and are highly sought after by employers.

The module builds on the foundations of computing and business developed in the first year to focus on the methods and techniques used by IT professionals to manage the organisational change resulting from the implementation and use of Information Technology and Information Systems.

This includes an understanding of a best practice framework such as ITIL.

Larger changes require the use of Projects and so this module will also provide an introduction to Project Management practices, techniques and terminologies including Project Specification, Monitoring and Controlling, and Risk Management.

The formative exercises in the workshops will include some group work but the final summative assessment is an individual assignment applying the concepts learnt within this module to a case study.

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KV5049 -

Mobile & Web App Development (Optional,20 Credits)

This module will give you knowledge of the principles and practice of developing cross platform, progressive mobile web applications for location aware, networked devices, using relevant technologies, and of issues relating to their use, such as accessibility. You will learn to design, develop and test mobile web applications.

‘Mobile Computing’ will provide you with knowledge and skills that are useful for later modules such as Computing Dissertation, as well as for a placement in your third year. Employers are looking for skilled mobile web application developers who can analyse problems and apply solutions.

During ‘Mobile Computing’ you will work through a series of practical exercises, making use of Northumbria’s state-of-the-art computer labs. The assessment will involve developing a mobile web application.

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KV5054 -

Virtual and Augmented Reality (Optional,20 Credits)

This module introduces you to the exciting immersive interaction technologies of Virtual Reality (VR) and Augmented Reality (AR). VR and AR are the core of the recent flourishing Metaverse applications, and they are rapidly growing to disrupt and innovate the way we work, study, and socialise in this decade.

Through this module, you will learn about the historical and recent development of VR and AR along with an understanding of the reality-virtuality continuum that helps you navigate through the landscape of immersive interaction technologies. You will have access to the University’s state-of-the-art VR/AR hardware kits for your learning and be able to horn your skills of building creative VR/AR applications using software development toolkits (SDKs) and game engines. In the process, you will also gain the ability to evaluate VR/AR designs using a comprehensive set of criteria and critique their impacts on our society, natural environment, and business world.

VR/AR are emerging technologies that attract employers and graduate employees together from a diverse range of industries, including but not limited to software engineering, graphics programming, artistic modelling, and human-computer interaction. The VR/AR app development skills covered in this module can enhance your employability in those related fields.

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LD5007 -

Contemporary Issues in Computing and Digital Technologies (Optional,20 Credits)

As a computing and digital technology student, it is imperative for you to maintain an up to date knowledge and understanding of contemporary research and technological developments relating to this ever evolving discipline. The syllabus of this module will be shaped by current scholarly and practitioner research and technological developments relevant to computing and digital technologies. This module particularly provides you opportunities to learn about developments in Computing and Digital Technologies both theoretical and technological as you prepare for your experiential learning semester where you will be working with a range of employers who are facing contemporary organisational challenges.

Indeed, the module will help you recognise, explore and develop knowledge and skills in areas of contemporary significance as they affect the wider computing and digital technologies discipline. Potential topics covered (with a focus on their relevance towards your experiential learning) could include, for example:

• Technological developments, research and issues related with contemporary technologies such as Internet of Things (IoT), Blockchain, AI, Cloud and Immersive Technologies
• Cyber Security
• Decision Intelligence, Data Fabric and Big Data
• Contemporary social, ethical and sustainability issues.

The assessment will be a literature review (3000 words) on a contemporary topic in computing and digital technologies as agreed with your tutor.

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LD5008 -

Developing Digital and Professional Competence (Optional,20 Credits)

As part of your experiential learning journey you will develop a range of digital and professional competences as outlined by the Computing Curricula 2020. Computing and Digital Technologies is a wide field in which professionals can find themselves working within a number of different roles and specialisms, each requiring specific knowledge, skills and dispositions related to the tasks they perform. This module builds on the knowledge, skills and dispositions developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those competencies that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

As such this module is intended to develop your understanding of these essential digital and professional competences and your ability to recognise the need for and to enter into the process of personal and professional development. Your experiential learning during your internship or consultancy or professional practice activity will specifically enable you to develop professional competencies such as being adaptable, collaborative, inventive, meticulous, passionate, proactive, professional, purpose driven, responsible, responsive and a self -directed learner to name but a few. Additionally, you will also develop digital and technical competencies as supported through experiential learning activities. These may include but not limited to systems modelling, systems architecture, computing systems fundamentals, software development, algorithms, programming, data and information management and cyber security.

This module will support you in demonstrating an increased self-awareness and self-understanding of your existing technical, management and wider professional competence, underpinned by use of theoretical concepts and models. You will conduct self analysis of your competencies using and develop a plan You will also develop an understanding of management competence by engaging in self- and social-development processes; identifying personal and professional competence development needs; recording and evaluating their competence development and identifying continuing personal and professional competence development needs.

The module is assessed through a reflective journal in which you will present and review your competence development and implications for your future career aspirations.

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LD5009 -

London Campus UG Internship (Optional,20 Credits)

This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the first half of your study on the programme. Indeed the Internship module is designed to deepen your knowledge and enhance employability in your specialist field. Specifically you will develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective in comparison with your taught studies. Computing and Digital Technologies is a wide discipline in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted so far in your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.
Indeed, the skills and knowledge demonstrated within this module will vary on an individual basis, dependent on the area of work experience gained through placement. It is expected, however, that this is utilised as an opportunity to develop yourself within an area that is relevant to the BSc (Hons) Computing with subject specialisms, and which is an area of priority given your planned professional development.


This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. working with the careers team, module academic team and your personal tutor, you will conduct a skills audit to identify internship opportunities and roles that can be undertaken within the area of your subject specialism. If you are a part time learner you may also be able to use your existing workplace. Indeed, to support securing your internship you will attend workshops throughout your degree. You will also have access to careers portal hosting a wealth of employability and careers development resources.

You will be given guidance on how to identify suitable internship opportunities. The successful internship is subject to rigorous selectin process by the relevant employer. The careers and employability team will provide guidance on CV writing, interview techniques and build an attractive employability profile. While careers and employability team will assist you to find a suitable internship for you, however this is not guaranteed.

Your Internship will vary according to your specialist pathway programme of study and the host organisation, but each Internship undertaken will meet the following general requirements:

• that you will undertake work in an organisation that will last one semester in duration;
• that you will undertake work, where appropriate or necessary for professional body requirements, which are directly relevant to your programme of study.
• that the Internship will be approved by the University

Indicative syllabus:
• On the job training and work experience dependent on your role as an internee. Some examples could include, but are not limited to:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Reflective frameworks for evaluation

You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment. The assessment consists of evidenced based portfolio Report (2000 words), weighted at 70% and a Poster Presentation, weighted at 30%.

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LD5010 -

London Campus Undergraduate Professional Practice (Optional,20 Credits)

This module is designed to develop your self-guided learning skills and knowledge and develop your own professional development needs in the context of your degree in Computing and Technology with subject specialisms of your choice. Computing and Digital Technologies is a wide field in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. Working with the module academic team, your personal tutor, academic supervisor and careers team, you will conduct a skills analysis to identify relevant training that can be undertaken within the area of your subject specialism. This training can take a number of forms, be it:

• Technical training delivered in the form of a skills bootcamp within the class environment or
• Structured online learning or
• A mini project
• Or, another appropriate form approved by the academic team.

Following completion of the training, the acquired skills will be focused towards a specified project or business challenge.

The skills and knowledge demonstrated within this module will vary on an individual basis, dependent on the area of professional development identified for study. It is expected, however, that this is utilised as an opportunity to develop yourself within an area that is relevant to the BSc (Hons) Computing with subject specialisms, and which is an area of priority given your planned professional development.

Indicative syllabus:
• Technical training dependent on identified need. Some examples could include, but are not limited to:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Methodologies to support system/software development/secure development (e.g. Systems Engineering).
• Reflective frameworks for evaluation.

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LD5015 -

London Campus UG Group Consultancy Project (Optional,20 Credits)

This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the first half of your study on the programme. The Advanced Practice Group UG Consultancy Project module is designed to deepen your knowledge and enhance employability in your specialist field. You will develop resilience and flexibility as you adapt to a different learning environment and gain a new perspective in comparison with your taught studies. The module will help you develop your abilities as a problem solver with valued investigative, theoretical and practical skills to implement a work-based group consultancy project.
Through this consultancy project, you will help develop hand-on experience of working on real life project that experience is directly transferrable to be utilised to the world of work after your graduation.
Computing and Digital Technologies is a wide discipline in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset, knowledge and behaviours. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. You will work as a group (3 to 5 students) on a complex technical or organisational problem or commercial opportunity for the length of a semester. Your consultancy project will align to your degree specialism. You will develop a client-oriented solution along with a management report and presentation alongside an individual literature review and a personal reflection. You will be allocated academic supervisor who will support you throughout the semester. You will have regular meetings with academic supervisor who will also organise meetings with client organisation.

The assessment for this module consists of a Group Consultancy Report (2,000 words) along with presentation weighted at 50% and an Individual Assignment (2000 words) comprising a literature review (1000 words) and Reflective Learning Statement (1000 words), weighted at 50%.

Indicative syllabus:
• The project scoping documentation will be shared to scope out the expectations of consultancy project at the start of the semester. The examples could include, but are not limited to consultancy projects in the following areas of specialism:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Reflective frameworks for evaluation

Assessment on the module is designed to focus on the awareness of the impact of the time spent in an external learning environment, on your knowledge and understanding of the discipline. You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment.

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AT5004 -

Year in International Business (This is made up of modules studied in Newcastle (Semester 1) & Amsterdam (Semester 2) (Optional,120 Credits)

The programme comprises of six modules consisting of 20-credits each. They are delivered by means of lectures, seminars, and where appropriate business clinic workshop.
Each of the modules is presented and delivered according to a Teaching and Learning Plan and is supported through its suite of module-based e-learning portals. The e-learning portals will encompass various standard interventions in line with Faculty and University expectations. These include Panopto recordings of lectures, electronic reading lists and Electronic Marking and Assessment (EMA) submission.

Research provides an essential pillar to the teaching of the programme, with a research-led approach being adopted within various modules with directed reading towards various research outputs. As this is a programme delivered at Level 5, research papers and professional industry-produced reports play a part in the delivery of the module sessions, and as such, research tutored interventions play a part. The group-based assessments will provide instruction on how to undertake research in a team-setting and therefore demonstrates research-oriented approaches, whilst the individual research activity gives you experience of enquiry-based approaches to research and engagement with a number of real-world issues for which you will provide research-informed solutions.

The modules are outlined below:

Semester 1 - Newcastle
HR9513 (20 credits) People, Management & Organisation
SM9513 (20 credits) Introduction to Entrepreneurship
AF5022 (20 credits) Financial Decision Making

Semester 2 – Amsterdam
AT5011 (20 credits) International Business Consultancy Project
AT5012 (20 credits) Global Business Environment
AT5000 (20 credits) Digital Business

In semester 1, students will learn in an environment aligned to that of business students on full time programmes. A mixture of large group and small group sessions will take place. In semester 2, in accordance with the experiential learning pedagogical approach in the Business Clinic operated at Newcastle Business School, the International Business Consultancy Project will involve students working in groups, facilitated by academics but also independently and amongst their peers in collaborative project work to provide real business consultancy. Assessment has been developed in accordance with Northumbria’s Assessment for Learning principles including a broad mix of assessment appropriate to the learning outcomes being assessed and with opportunities for formative feedback.

A student who passes all modules will have these recorded on their transcript and HEAR record.

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AT5007 -

Year in International Multidisciplinary Innovation (4 modules studied in Amsterdam (Semester 1) & Newcastle (Semester 2) (Optional,120 Credits)

What will I learn on this module?

This overarching module descriptor covers the Year in International Multidisciplinary Innovation which is made up of 4 modules that the students will study in Amsterdam (semester 1) and Newcastle (semester 2).

This additional year of studies has been designed to develop students’ creative thinking and practical problem-solving skills in the context of design thinking approaches, all of which will significantly development academic and research skills and so strengthen employability on graduation. This year of study enhances your employability by unlocking and developing your creative problem-solving skills, knowledge, and expertise to make you more employment and industry-ready when you graduate through in multidisciplinary teams throughout your year of study in Amsterdam and Newcastle to creatively tackle and solve real-world challenges.
Semester 1 in Amsterdam comprises of two 20-credit modules aimed at students new to design thinking which also equips them for a semester in Newcastle, working in creative teams on a series of real-world projects that enhance creative thinking skills and attributes and multidisciplinary working practices. The modules studied in Semester 1, Innovative Design Practices and Tools and Multidisciplinary Exploration and Value Creation provide students with analytical design-inspired tools that enable students to examine real-world case studies that require multidisciplinary professional team-based responses and solution formation and implementation. In Semester 2, students will move to Newcastle to study two modules at Northumbria University. The first module, Design-Inspired Research Methods enables students to critically investigate key social, cultural, and technological challenges that modern urban spaces, cities, and professions. The final module, Creative Cities, enables students to engage in the creative comparative research of problems, challenges and potential innovative developments between Amsterdam and Newcastle (in terms of mobility, sustainable practices, energy provision, smart and digital technologies, urban design, or the role of cultural and humanities-oriented institutions).

The modules are outlined below:

Semester 1
AT5005 Innovative Design Practices and Tools (20 credits)
AT5006 Multidisciplinary Exploration and Value Creation (40 credits)

Semester 2
DE5012 Design-Inspired Research Methods (20 credits)
DE5013 Creative Cities (40 credits)

In semester 1, students will learn in a creative environment in the Amsterdam campus dedicated to full time programmes. A mixture of large group and small group sessions will take place in sessions and workshops that bring together AUAS and Northumbria students and staff. The focus of the teaching and learning is on creative interdisciplinary team activities that develop creative thinking and address real-world issues and problems. In semester 2, students engage in comparative city-based research to identify differing challenges facing Amsterdam and Newcastle. Students will approach a range of real-world issues from the perspective of their academic discipline and work with students from other perspectives to see how differing knowledges and skillsets can combine to address challenges in innovative and creative ways. These can include cultural institutions, design, technology, IT, and engineering, architecture, history, and the social sciences. Therefore, the programme is relevant for students from a range academic disciplines who will work together to stress how differing disciplines combine to provide solutions to challenges. Assessment has been developed in accordance with Northumbria’s Assessment for Learning principles including a broad mix of assessment appropriate to the learning outcomes being assessed and with opportunities for formative feedback.

A student who passes all modules will, on successful completion of their undergraduate programme of study, have the title “(Year in International Multidisciplinary Innovation UK and Amsterdam)” added to their degree award title. Students who do not pass 120 credits will have those modules that have been completed recorded on their transcript.

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KV5007 -

Work placement year (Optional,120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment to provide you with the option to take a one year work placement as part of your programme.

You will be able to use the placement experience to develop and enhance appropriate areas of your knowledge and understanding, your intellectual and professional skills, and your personal value attributes, relevant to your programme of study, as well as accreditation bodies such as BCS, IET, IMechE, RICS, CIOB and CIBSE within the appropriate working environments. Due to its overall positive impact on employability, degree classification and graduate starting salaries, the University strongly encourages you to pursue a work placement as part of your degree programme.

This module is a Pass/Fail module so does not contribute to the classification of your degree. When taken and passed, however, the Placement Year is recognised both in your transcript as a 120 credit Work Placement Module and on your degree certificate.

Your placement period will normally be full-time and must total a minimum of 40 weeks.

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KV5008 -

Study abroad year (Optional,120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment and provides you with the option to study abroad for one full year as part of your programme.

This is a 120 credit module which is available between Levels 5 and 6. You will undertake a year of study abroad at an approved partner University where you will have access to modules from your discipline, but taught in a different learning culture. This gives you the opportunity to broaden your overall experience of learning. The structure of study will be dependent on the partner and will be recorded for an individual student on the learning agreement signed by the host University, the student, and the home University (Northumbria).

Your study abroad year will be assessed on a pass/fail basis. It will not count towards your final degree classification but, it is recognised in your transcript as a 120 credit Study Abroad module and on your degree certificate in the format – “Degree title (with Study Abroad Year)”.

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KV6010 -

Big Data (Core,20 Credits)

This module gives you a deep understanding of the concepts, theories and foundations of Big Data, and provides you with the opportunity to develop the skills to manage massive and complex data sets – as well as to infer knowledge from data - using industry standard platforms and tools. Big data analytics is the use of advanced analytic techniques on very large, diverse data sets that might include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. The module therefore includes an introduction to the specific nature and requirements of Big Data analytics, and to emerging trends and use cases where Big Data outperforms traditional data warehouse approaches. It will include an understanding – and practical use of- contemporary open-source tools such as R, Hadoop, HDFS, MapReduce, Yarn, Spark, Storm, and Hive. The module will also cover concepts of critical data studies and provide a forum for you to investigate the continuing ethical, sustainable and societal implications of Big Data.

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KV6011 -

Business Intelligence (Optional,20 Credits)

This module will introduce the key elements of business intelligence and organisational decision making. Drawing on business analytics, decision science and systems thinking, you will explore how organisations are able to leverage data and information to formulate a complete understanding of complex problems and to identify and implement optimal solutions. Employers are looking for data-literate graduates with the ability to explore and solve novel business problems, and as such, this module will cover topics such as organisational process modelling, business performance management, data analytics in a business context, and the use of data visualisation as a tool for exploration and communication. You will have to the opportunity to work with others in collaborative problem-solving scenarios, to investigate how businesses can use effective decision making to achieve optimal, sustainable solutions, and to explore the ethical, legal, and societal issues present when using data-driven technologies.

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KV6013 -

Computing Project (40 Credits)

This is your major final year project module where you will undertake a substantial individual practical computing project related to your programme of study. You will become knowledgeable in your chosen topic including important concepts and literature. You will use and further develop skills learnt elsewhere in your programme and acquire new skills and expertise to carry out the practical computing work. These could be technical skills such as a new programming language, experimental methods, and/or the use of statistical techniques to analyse your results. You will also acquire or further develop your professional skills including communication skills (both oral presentation and report writing), literature searching and review, research methods and design, project management and personal time management. Both the technical and professional skills developed through the project module will enhance your career and employability competencies.

You will have the freedom to choose a topic of your interest or select one provided by academic staff. Your project must include you undertaking practical work of some sort using computing/IT technology. This is most frequently achieved by the creation of an artefact as the focus for covering all or part of an implementation lifecycle. However, there are a diversity of approaches you can take. For example, you could choose to conduct a more product-focused project where the main deliverable is a product of some kind such as a piece of software, a game, a computer network, an information strategy. Or it could be a more investigative and/or research-focused project such as a digital forensics investigation, a comparison analysis of AI algorithms, a user experience investigation. Or your project could be a mix of both such as building a simulated network to investigate security vulnerabilities and mitigation schemes, creating a prototype to test the effectiveness of a digital technology. Projects based solely on literature review activity and/or user/market surveys are not acceptable. You could also work with an external enterprise client to create a product in terms of their business requirements.

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KV6014 -

Computing Group Project (Core,20 Credits)

In this Module you will work in a small group of your peers to undertake a significant project related to your chosen degree programme in computing. Each Project will involve the specification, design, implementation, documentation and demonstration of a technical artefact, showing your ability to synthesise information, ideas and practices to provide a quality solution together with an evaluation of that solution. This module is intended to bring together many of the concepts and skills learned in other modules prior to this point in your studies. Each project title and scope may be self-proposed or may be selected from a list of staff-defined project proposals.

Collaboration and teamwork, the capability to work with other people, from a range of cultures, to achieve common goals, for example through group work, group projects and group presentations is a key set of understanding and skills that are highly valued by employers. This Module seeks to equip you with these very skills as well as deepen an awareness/sensitivity to diversity in terms of people and cultures. Moreover, the Module will encourage networking with peers and horizon scanning to identify opportunities to advance digital capabilities and create computing solutions that seek to create a better society.

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KV6015 -

Data Analytics (Optional,20 Credits)

This module will give you an essential foundation to focus on how to conduct statistical analysis and interpret various measures correctly. You will learn to think about the process of examining data from the “ground up”, adopting pragmatic approaches e.g., how to investigate and explore data, data structures and visualisations.

‘Data Analytics’ will prepare you for the study of the computational principles, methods, and systems for extracting and structuring knowledge from data. It will also prepare you for the application and use of those principles. For example, large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care. You will explore methods to conduct efficient and pragmatic approaches to ensure you have translational skills.

During ‘Data Analytics’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs. Your learning will be research-rich by providing you opportunities to link with active research groups tackling real world problems to prepare you for life beyond Northumbria. The main element in assessment (100%) will be a final assignment that will bring together all your new skills and techniques.

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KV6016 -

Data Security and Governance (Core,20 Credits)

This module is set in the context of today’s society and the organisations within. Social behaviour, often in the virtual environment, creates a range of ethical issues centering on information security and governance. In addition to exploring these social and ethical issues, legal and regulatory frameworks that have been developed in recent years to try to address these issues are examined. You will also learn about security in organisations and will be introduced to a range of common threats and countermeasures. Topics include basic definitions of terminology alongside practical and theoretical frameworks to help you identify key governance and security issues and explore potential preventative measures. You will be covering terms such as ‘governance’ and ‘security’, frameworks which include the information life cycle, regulations and guidelines relating to professional conduct, privacy and data protection,

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KV6018 -

Evolutionary Computation (Optional,20 Credits)

Evolutionary algorithms (EAs) are a class of optimisation techniques that are inspired by natural evolution. They are well-suited to problems for which no specific solution method exists, or where other methods perform badly, and they have been used very successfully in areas as diverse as finance, engineering, architecture and logistics. In this module, you will learn about the fundamental principles of EAs, understand how (and why) they are used, and develop your own EA for a specific problem.

EAs are used extensively in business, industry, and scientific research, and the ability to analyse a problem and develop an EA to solve it demonstrates a number of sought-after key skills.

This module is research-driven, and is taught by academics who have published extensively in the field of evolutionary computation. You will benefit from access to up-to-date knowledge, codebases and datasets.

The main component of assessment is a development assignment (70%), which will bring together the skills and techniques that you will acquire during the course of the module.

Indicative list of topics:

• Natural and artificial evolution
• Representation schemes and search operators for optimisation
• Constrained and multi-objective optimisation
• Evaluation of evolutionary algorithm performance
• Theoretical foundations
• State-of-the-art applications

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Modules

Module information is indicative and is reviewed annually therefore may be subject to change. Applicants will be informed if there are any changes.

KV4004 -

AI Fundamentals (Core,20 Credits)

This module will give you a foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This module will help you demonstrate knowledge of common ML and AI workloads. In addition, ‘AI Fundamentals’ will guide you through hands-on sessions and workshops on how to implement common ML and AI workloads on MS Azure.
‘AI Fundamentals’ will prepare you for later modules, as well as for a placement in your third year. Employers look for skilled graduates with industry-recognised and technology-based certifications such as the MS Azure AI Fundamentals AI-900. Employers are seeking talented individuals who can work as members of a team in understanding, analysing, and designing AI solutions leading to sustainable growth, change and impact and applying effective, responsible and ethical AI-enabled techniques.

During ‘AI Fundamentals’, students will work through a series of workshops and exercises relying on state-of-the-art AI technologies and Cloud Computing such as MS Azure. Furthermore, students will make use of Northumbria’s state-of-the-art computer labs. Students will also critically engage with research outputs as part of their research-rich learning.

One of the elements in the assessment (50% of the final mark) will be to produce a 2000 words critical reflection on an AI topic which will be set each year. Students will have to choose a more specific subject related to the AI topic, provide a literature review, identify and discuss the problematic and challenging issues related to the topic, propose and implement a solution to address the identified issues. This assessment will require desk-based research, furthering understanding developed through the lecture material provided.
The second element in the assessment (50% of the final mark) is a presentation of the practical work done in the first assessment, the implementation approach and a discussion of the findings.

‘AI fundamentals’ lectures and workshops will help students prepare for the AI Fundamentals certification exam (AI-900). This certification can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate which are much sought-after by recruiters.

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KV4006 -

Computational Thinking (Core,20 Credits)

Thinking like a computer scientist means more than being able to program a computer. It requires solving problems at multiple levels of abstraction. Before any programming begins the solution to the problem must be understood. Using real world case studies, in this module you will develop skills to decode client’s problems developing skills of abstraction and systems design to specify solutions. A key skill employers seek is the ability to solve problems, in this module you will develop computational thinking to achieve this. Computational thinking is a range of mental tools such as algorithms, modelling, logic, generalisation, decomposition, abstraction, pattern recognition and others that reflect the full breadth of Computer Science. Computational thinking is about solving problems, designing systems and understanding human behaviour. This module will teach you to reformulate seemingly difficult problems into solvable ones by using processes such as reduction, embedding, transformation or simulation.

Computational thinking can be applied to a wide variety of subject areas beyond computing, to the sciences, the arts and business. Whether developing a start-up for the latest sustainable product or fighting for social justice you will learn to be able to apply computational thinking’s vocabulary (for example algorithm, precondition, non-determinism, etc.) to many non-digital problems. In this module you will learn not to program but to conceptualize. You will learn not by rote skill, but instead by leveraging fundamental principles, by engaging with ideas not artefacts, and by embedding learning and exploration in your experience. Computational thinking has implications for everyone, everywhere and it will be integral to your future in both digital and real-life endeavours.

During ‘Computational thinking’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The principal element of assessment will be a workbook that will hold your responses and reflections to a number of exercises and assessment points.

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KV4007 -

Computers & Society (Core,20 Credits)

This module will open your eyes to the harmful impacts that seemingly mundane actions and decisions taken (or lack thereof) during the development of technology may have on people’s lives and livelihoods. It provides a foundation knowledge of the key harms caused by technological developments and their application to the wider society, covering topics including techno solutionism and responsible design of technology.

‘Computers & Society’ will prepare you for further modules in your program of study where you will need to be able to use evidence-driven research and critical reflection on technology design as well as for your final year project and any placement years or consultancy projects you might undertake. Increasingly, employers are looking for computing professionals who can go beyond the mere functional analysis and design of new technologies to doing so in a responsible manner by anticipating societal impacts that might arise through their design.

During ‘Computers & Society’ you will engage in research-rich critical analyses of harm arising through the development of technology, learn how to develop evidence-driven arguments, and position yourself as a responsible computing professional by identifying what harms you might unintentionally contribute to, and how you might avoid or mitigate doing so. The main element in assessment (70%) will be a final research-driven report that will bring together all your new skills and knowledge and allow you to position yourself as a responsible computing professional.

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KV4008 -

Computing Fundamentals (Core,20 Credits)

This module aims to provide you with a theoretical and practical foundation required to understand the fundamental underpinnings of a computing system. You will be introduced to the basic concepts involved in computer software, information representation and the operations and components used in computer architectures. You will gain an understanding of the underlying theory of computation as well as the major computational and programming paradigms. To complement this theoretical underpinning, you will also study the standard von Neumann computer architecture and von Neumann machine programming.

This module will help you develop logical reasoning, computational thinking and problem-solving skills employers look for. An introductory understanding of computer architecture and assembly programming improves your career options in areas such as embedded systems. Practising and developing mathematical skills and problem-solving improves your employability and allows you to develop this area further at later stages of the programme. A broad understanding of the theoretical principles of computing allows you to extend this understanding into areas of theoretical research. It also allows you to engage with wider discussions in the computing community. The module examines current computational paradigms and principles of design of computer hardware and their environmental impact.

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KV4009 -

Data Fundamentals (Core,20 Credits)

This module focuses on core data concepts, and the design, implementation and use of database systems. It introduces database systems, the tools for manipulating data in databases, and design principles that ensure data security and integrity. Topics include database management systems architecture, data modelling and database design, query languages, data preparation and cleansing techniques and security, legal and ethical issues concerning the use of databases in society. You will consider issues such as the sustainability of data, and the ethics of responsible data capture and use.

You will work with database systems and data services used in industry. The module follows some of the same topics as the MS Azure Data Fundamentals (DP-900) certification course, therefore students may wish to pursue this certification during their programme.
During ‘Data Fundamentals’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs. You will also engage with research outputs as part of your research-rich learning. One assessment component (50%) will be a written report that demonstrates your understanding of ethical, legal and security related issues concerning data and databases, based on current research. The other assessment component (50%) will be a practical assessment that assesses your knowledge and skills relating to key data concepts, analysis, and techniques.

‘Data Fundamentals’ will prepare you for later modules such as ‘Data Mining’, as well as for a placement in your third year. Employers are looking for skilled graduates who have technology-based certifications such as MS Azure Data Fundamentals (DP-900) that validate their skills in analysing data and applying effective solutions to computing problems.

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KV4012 -

Programming (Core,20 Credits)

During this module you will learn how to create software using a high level programming language such as Python. You will learn to select and apply standard programming structures for appropriate situations. The module will cover the use of variables, conditions, loops, subprograms, abstraction mechanisms and structured data types. You will learn to apply your skills using a professional development library to build interactive user interfaces such as Flex.

You will practise solving problems by breaking them down into smaller tasks. As well as constructing software that works, you will also start to consider the quality of your code and produce software that is reliable and maintainable by working to professional standards. You will learn to test, debug and maintain software of an appropriate size and to manage your time in constructing well-structured software products. We will study one programming language in detail on this module. This course will powerfully contribute to your employability by beginning your journey into software development, a skill which many employers will test before interview. As the course develops you will get to use professional software development libraries to aid your graduate employability. You will be encouraged and supported to go beyond the essential skills in and advance your development experience.

During ‘Programming’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The main elements of assessment are a number of programming assignments that will bring together all your new skills and techniques.

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KV5033 -

Algorithms and Data Structures (Core,20 Credits)

This module will extend your understanding of system development. You will cover the algorithms theory, implementation and processing of appropriate data structures within the context of an industry-standard approach. In particular, this module will provide the knowledge to make the application faster and scalable in terms of the time complexity and properties of key algorithms and data structures. This module will also present a practical experience of implementing a range of algorithms and program testing and how to apply them in high performance computing. This module will prepare you for a placement in your third year by providing you with the common interview questions. Employers are looking for skilled programmers who can analyse the algorithms and make the appropriate selection of data structures for the project. During this module, you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs and digital security lab. You will also critically engage with research outputs as part of your research-rich learning. The main element in assessment (100%) will be a final code solution assignment that will bring together all your new skills and techniques.

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KV5035 -

Software Architecture (Optional,20 Credits)

This module will give you the essential foundation in object-oriented software architecture and design patterns. You will be introduced to the basic concepts and architectural styles and implementations. A wide range of topics in design patterns will be covered, including pattern languages and catalog, creational, structural, and behavioural design patterns.

‘Software Architecture’ will prepare you for later modules which focuses on software development in your final year. Employers are looking for skilled software architects who can work as individuals and as members of a team in making high-level design choices and framing technical standards.

During ‘Software Architecture’ you will work through practical exercises, making use of Northumbria’s state-of-the-art computer labs. You will also critically engage with research outputs as part of your research-rich learning. The assessment (100%) will be a final assignment to produce an object-oriented design for a software system and then will reflect on its appropriateness in a report.

The teaching on this module will conform to Northumbria’s EDI standards for accessibility and respect for all.

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KV5036 -

Computer Vision (Optional,20 Credits)

This module will give you a good understanding of the implementation and programming of computer vision systems. You will be taught the fundamental concepts of how computers are used to gain insight into the contents of images and videos.

You will develop a computer vision system that is designed for a specific application, for example the detection and classification of speed limit signs for an autonomous car, the detection and recognition of a face for secure access systems, or the detection and classification of human activity in a video.

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KV5037 -

Computing Consultancy Project (Optional,20 Credits)

This module is a practical hands-on application of business principles. It aims to put you – and a group of your peers - into the real-world situation of solving problems for businesses. This will include contacting the client to negotiate, agree and confirm initial project requirements and then working towards a deliverable that is acceptable to the client within the given time frame. This process requires the application and development of several key skills associated with project management and consultancy such as team organisation, working with others, planning and timekeeping. Employers are looking for students with these transferable skills who can adapt and work as individuals and as members of a team in analysing computing problems and applying effective programming solutions.

The consultancy projects vary year-on-year many technology-based and, therefore, students are expected to use and develop their own expertise in this area. At the end of the module, each group will be expected to present their findings in report format and to give a formal presentation for the benefit of the tutors and the client. The projects will be supplemented by lectures and seminars introducing the skills required for such consultancy and project management work especially during the first third of the module.

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KV5039 -

Data Mining (Core,20 Credits)

This module will give you an essential foundation to focus on extraction of implicit and potentially useful information form data which is used in commercial, scientific and other application areas. The module combines both theoretical and practical approaches, so you have the skills to tackle problems in various realistic business settings.

This module introduces the trends, tools, and current developments in the area of data mining and its practical applications. The module covers key background for critical understanding of data mining including relevant professional, ethical, social and legal aspects. It covers topics such as labelled and unlabelled data, supervised and unsupervised learning, algorithms and techniques for feature extraction, data for data mining, outlier detection, topic modelling and prediction of complex unstructured data sets, and dealing with large volumes of data. The module is primarily concerned with the data mining of real-world environments (e.g., datasets from businesses, industries) and to uncover patterns, find anomalies and relationships that can be used to make prediction about future trends.

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KV5040 -

Data Visualization (Optional,20 Credits)

This module takes your knowledge of computer programming and uses those skills to develop an understanding of the theory and practice of data visualization. Data visualization is an essential part every data scientist’s toolkit. Using a range of visualization techniques and tools you will be able to explore complex datasets and communicate the findings of your data analysis activities. The wide availability of dashboards, programming languages such as R and Python, and interactive literate programming environments such as Jupyter Lab and Google Colab have made data visualization an essential and much sought-after skill.

Employers are seeking people who can analyse their datasets and use visualization techniques to generate rich insights into the real-world processes and phenomena from which the datasets were generated. These insights are then used to create value for the employer by, for example, improving practice, generating new leads, identifying productivity challenges, and so forth.

You will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs to anaylse and visualize a range of datasets. You will also critically engage with research outputs as part of your research-rich learning. The main assessment will be a data visualization assignment that will bring together your newly developed skills and techniques and apply them to a data analysis and visualization problem which will be written up in the form of a research article supported by the source code of your visualization solution.

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KV5041 -

Digital Forensics Incident Response (Optional,20 Credits)

This module provides a broad and practical introduction to the fundamentals of digital security and forensics. The module will foster your skills in problem solving by applying investigative skills within the strict boundaries of the law and in keeping with ethical and professional codes of practice. Increasingly, employers are looking for network and cybersecurity professionals who understand how digital forensics can support the response to cybersecurity incidents, an area of digital forensics known as digital forensics incident response (DFIR). This module will provide you with the knowledge and skills to understand this area of cyber security.

The theoretical material on digital security and forensics will be re-enforced through the analysis and discussion of case studies in seminar sessions as well as sessions on the use of security and digital forensics tools in the analysis of chosen case studies in lab-based practical sessions.

You will develop analytical and evaluative skills in the appropriate use of industry software for solving problems in a variety of DFIR environments and problem situations. The ethical responsibilities of studying digital security and forensics and the need to address personal and professional integrity will be included in the module.

You will also critically engage with research outputs as part of your research-rich learning. The main element in assessment (100%) will be a written report that will bring together all your new skills and techniques.

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KV5046 -

Human-Centered AI (Core,20 Credits)

Artificial Intelligence (AI) is rapidly changing the role of technologies in decision making processes and transforming our everyday interactions with digital systems. Human-Centered AI approaches seek to synthesize machine intelligences with human-centered thinking to conceptualise and design intelligent systems that seek to empower people and society. This module will introduce you to Human-Centered Artificial Intelligence (HCAI), where we will explore human-centered design principles and methods to envision AI systems. This module will not provide technical exploration on machine learning, statistical analysis or data modelling – instead it focuses on human-factors in the design of AI systems, and the interactions between Humans and AI (e.g., Human-AI collaboration, human-in-the-loop decision-making, interacting with chatbots and robots).

In this module you will specifically explore how to design, develop, critique interactive AI technologies from a human-centred perspective. Indicative topics that we will cover include (but are not limited to):

• User-centred design (UCD) lifecycle
• Human-AI Interaction (including ethics, trust, interpretability, transparency, and fairness)
• Understanding users, context, and social interactions,
• Prototyping techniques for interface design: low and high fidelity

Research-rich learning is heavily embedded in this module, by engaging with the latest HCAI, HCI and AI research; and conducting your own UCD research. You will be taught by academics who have published extensively in the field of HCI and Intelligent Systems. The module is designed to give you a knowledge and understanding of how to design and critically assess the human impact of AI system; while providing practical skills to enable you to design new Human-Centered AI systems.

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KV5048 -

IT Service Management (Optional,20 Credits)

This module will give you an understanding of the principles, concepts and practices of IT Service Management and the associated areas of Project Management, Value Management, and Change Management. These skills are essential to the successful use of Information Technology within organisations and are highly sought after by employers.

The module builds on the foundations of computing and business developed in the first year to focus on the methods and techniques used by IT professionals to manage the organisational change resulting from the implementation and use of Information Technology and Information Systems.

This includes an understanding of a best practice framework such as ITIL.

Larger changes require the use of Projects and so this module will also provide an introduction to Project Management practices, techniques and terminologies including Project Specification, Monitoring and Controlling, and Risk Management.

The formative exercises in the workshops will include some group work but the final summative assessment is an individual assignment applying the concepts learnt within this module to a case study.

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KV5049 -

Mobile & Web App Development (Optional,20 Credits)

This module will give you knowledge of the principles and practice of developing cross platform, progressive mobile web applications for location aware, networked devices, using relevant technologies, and of issues relating to their use, such as accessibility. You will learn to design, develop and test mobile web applications.

‘Mobile Computing’ will provide you with knowledge and skills that are useful for later modules such as Computing Dissertation, as well as for a placement in your third year. Employers are looking for skilled mobile web application developers who can analyse problems and apply solutions.

During ‘Mobile Computing’ you will work through a series of practical exercises, making use of Northumbria’s state-of-the-art computer labs. The assessment will involve developing a mobile web application.

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KV5054 -

Virtual and Augmented Reality (Optional,20 Credits)

This module introduces you to the exciting immersive interaction technologies of Virtual Reality (VR) and Augmented Reality (AR). VR and AR are the core of the recent flourishing Metaverse applications, and they are rapidly growing to disrupt and innovate the way we work, study, and socialise in this decade.

Through this module, you will learn about the historical and recent development of VR and AR along with an understanding of the reality-virtuality continuum that helps you navigate through the landscape of immersive interaction technologies. You will have access to the University’s state-of-the-art VR/AR hardware kits for your learning and be able to horn your skills of building creative VR/AR applications using software development toolkits (SDKs) and game engines. In the process, you will also gain the ability to evaluate VR/AR designs using a comprehensive set of criteria and critique their impacts on our society, natural environment, and business world.

VR/AR are emerging technologies that attract employers and graduate employees together from a diverse range of industries, including but not limited to software engineering, graphics programming, artistic modelling, and human-computer interaction. The VR/AR app development skills covered in this module can enhance your employability in those related fields.

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LD5007 -

Contemporary Issues in Computing and Digital Technologies (Optional,20 Credits)

As a computing and digital technology student, it is imperative for you to maintain an up to date knowledge and understanding of contemporary research and technological developments relating to this ever evolving discipline. The syllabus of this module will be shaped by current scholarly and practitioner research and technological developments relevant to computing and digital technologies. This module particularly provides you opportunities to learn about developments in Computing and Digital Technologies both theoretical and technological as you prepare for your experiential learning semester where you will be working with a range of employers who are facing contemporary organisational challenges.

Indeed, the module will help you recognise, explore and develop knowledge and skills in areas of contemporary significance as they affect the wider computing and digital technologies discipline. Potential topics covered (with a focus on their relevance towards your experiential learning) could include, for example:

• Technological developments, research and issues related with contemporary technologies such as Internet of Things (IoT), Blockchain, AI, Cloud and Immersive Technologies
• Cyber Security
• Decision Intelligence, Data Fabric and Big Data
• Contemporary social, ethical and sustainability issues.

The assessment will be a literature review (3000 words) on a contemporary topic in computing and digital technologies as agreed with your tutor.

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LD5008 -

Developing Digital and Professional Competence (Optional,20 Credits)

As part of your experiential learning journey you will develop a range of digital and professional competences as outlined by the Computing Curricula 2020. Computing and Digital Technologies is a wide field in which professionals can find themselves working within a number of different roles and specialisms, each requiring specific knowledge, skills and dispositions related to the tasks they perform. This module builds on the knowledge, skills and dispositions developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those competencies that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

As such this module is intended to develop your understanding of these essential digital and professional competences and your ability to recognise the need for and to enter into the process of personal and professional development. Your experiential learning during your internship or consultancy or professional practice activity will specifically enable you to develop professional competencies such as being adaptable, collaborative, inventive, meticulous, passionate, proactive, professional, purpose driven, responsible, responsive and a self -directed learner to name but a few. Additionally, you will also develop digital and technical competencies as supported through experiential learning activities. These may include but not limited to systems modelling, systems architecture, computing systems fundamentals, software development, algorithms, programming, data and information management and cyber security.

This module will support you in demonstrating an increased self-awareness and self-understanding of your existing technical, management and wider professional competence, underpinned by use of theoretical concepts and models. You will conduct self analysis of your competencies using and develop a plan You will also develop an understanding of management competence by engaging in self- and social-development processes; identifying personal and professional competence development needs; recording and evaluating their competence development and identifying continuing personal and professional competence development needs.

The module is assessed through a reflective journal in which you will present and review your competence development and implications for your future career aspirations.

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LD5009 -

London Campus UG Internship (Optional,20 Credits)

This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the first half of your study on the programme. Indeed the Internship module is designed to deepen your knowledge and enhance employability in your specialist field. Specifically you will develop resilience and flexibility as you adapt to a different learning environment, and gain a new perspective in comparison with your taught studies. Computing and Digital Technologies is a wide discipline in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted so far in your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.
Indeed, the skills and knowledge demonstrated within this module will vary on an individual basis, dependent on the area of work experience gained through placement. It is expected, however, that this is utilised as an opportunity to develop yourself within an area that is relevant to the BSc (Hons) Computing with subject specialisms, and which is an area of priority given your planned professional development.


This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. working with the careers team, module academic team and your personal tutor, you will conduct a skills audit to identify internship opportunities and roles that can be undertaken within the area of your subject specialism. If you are a part time learner you may also be able to use your existing workplace. Indeed, to support securing your internship you will attend workshops throughout your degree. You will also have access to careers portal hosting a wealth of employability and careers development resources.

You will be given guidance on how to identify suitable internship opportunities. The successful internship is subject to rigorous selectin process by the relevant employer. The careers and employability team will provide guidance on CV writing, interview techniques and build an attractive employability profile. While careers and employability team will assist you to find a suitable internship for you, however this is not guaranteed.

Your Internship will vary according to your specialist pathway programme of study and the host organisation, but each Internship undertaken will meet the following general requirements:

• that you will undertake work in an organisation that will last one semester in duration;
• that you will undertake work, where appropriate or necessary for professional body requirements, which are directly relevant to your programme of study.
• that the Internship will be approved by the University

Indicative syllabus:
• On the job training and work experience dependent on your role as an internee. Some examples could include, but are not limited to:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Reflective frameworks for evaluation

You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment. The assessment consists of evidenced based portfolio Report (2000 words), weighted at 70% and a Poster Presentation, weighted at 30%.

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LD5010 -

London Campus Undergraduate Professional Practice (Optional,20 Credits)

This module is designed to develop your self-guided learning skills and knowledge and develop your own professional development needs in the context of your degree in Computing and Technology with subject specialisms of your choice. Computing and Digital Technologies is a wide field in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. Working with the module academic team, your personal tutor, academic supervisor and careers team, you will conduct a skills analysis to identify relevant training that can be undertaken within the area of your subject specialism. This training can take a number of forms, be it:

• Technical training delivered in the form of a skills bootcamp within the class environment or
• Structured online learning or
• A mini project
• Or, another appropriate form approved by the academic team.

Following completion of the training, the acquired skills will be focused towards a specified project or business challenge.

The skills and knowledge demonstrated within this module will vary on an individual basis, dependent on the area of professional development identified for study. It is expected, however, that this is utilised as an opportunity to develop yourself within an area that is relevant to the BSc (Hons) Computing with subject specialisms, and which is an area of priority given your planned professional development.

Indicative syllabus:
• Technical training dependent on identified need. Some examples could include, but are not limited to:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Methodologies to support system/software development/secure development (e.g. Systems Engineering).
• Reflective frameworks for evaluation.

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LD5015 -

London Campus UG Group Consultancy Project (Optional,20 Credits)

This module aims to provide you with an experiential learning opportunity in a workplace setting that utilises skills and knowledge acquired during the first half of your study on the programme. The Advanced Practice Group UG Consultancy Project module is designed to deepen your knowledge and enhance employability in your specialist field. You will develop resilience and flexibility as you adapt to a different learning environment and gain a new perspective in comparison with your taught studies. The module will help you develop your abilities as a problem solver with valued investigative, theoretical and practical skills to implement a work-based group consultancy project.
Through this consultancy project, you will help develop hand-on experience of working on real life project that experience is directly transferrable to be utilised to the world of work after your graduation.
Computing and Digital Technologies is a wide discipline in which professionals can find themselves working within a number of different roles and specialisms, each requiring a specific technical skillset, knowledge and behaviours. This module builds on the skills developed so far to provide an opportunity for you to tailor the learning conducted within level 5 of your programme towards acquiring those skills that will help you develop towards becoming a professional specialising in Computing with Technology/Computing with Cybersecurity Technology/Computing with Data Science and Big Data Technology/Computing with AI technology/Computing with IT Management.

This is an optional module, and you will be guided about the options available by your programme and career teams during semester 2 of your level 4 studies and again in semester one of your Level 5 studies. You will confirm your option to choose either Internship or consultancy project or professional practice. You will work as a group (3 to 5 students) on a complex technical or organisational problem or commercial opportunity for the length of a semester. Your consultancy project will align to your degree specialism. You will develop a client-oriented solution along with a management report and presentation alongside an individual literature review and a personal reflection. You will be allocated academic supervisor who will support you throughout the semester. You will have regular meetings with academic supervisor who will also organise meetings with client organisation.

The assessment for this module consists of a Group Consultancy Report (2,000 words) along with presentation weighted at 50% and an Individual Assignment (2000 words) comprising a literature review (1000 words) and Reflective Learning Statement (1000 words), weighted at 50%.

Indicative syllabus:
• The project scoping documentation will be shared to scope out the expectations of consultancy project at the start of the semester. The examples could include, but are not limited to consultancy projects in the following areas of specialism:
o Cyber security, Data Analytics and Big Data, Machine Learning, AI, DevOps, Enterprise Architecture, Ethical Hacking, Networks, Business Analysis.
• Refining a personal development plan.
• Reflective frameworks for evaluation

Assessment on the module is designed to focus on the awareness of the impact of the time spent in an external learning environment, on your knowledge and understanding of the discipline. You will be encouraged to critically engage with outside practices, and to reflect on your educational development in the context of the challenges posed by an unfamiliar social, cultural and economic environment.

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AT5004 -

Year in International Business (This is made up of modules studied in Newcastle (Semester 1) & Amsterdam (Semester 2) (Optional,120 Credits)

The programme comprises of six modules consisting of 20-credits each. They are delivered by means of lectures, seminars, and where appropriate business clinic workshop.
Each of the modules is presented and delivered according to a Teaching and Learning Plan and is supported through its suite of module-based e-learning portals. The e-learning portals will encompass various standard interventions in line with Faculty and University expectations. These include Panopto recordings of lectures, electronic reading lists and Electronic Marking and Assessment (EMA) submission.

Research provides an essential pillar to the teaching of the programme, with a research-led approach being adopted within various modules with directed reading towards various research outputs. As this is a programme delivered at Level 5, research papers and professional industry-produced reports play a part in the delivery of the module sessions, and as such, research tutored interventions play a part. The group-based assessments will provide instruction on how to undertake research in a team-setting and therefore demonstrates research-oriented approaches, whilst the individual research activity gives you experience of enquiry-based approaches to research and engagement with a number of real-world issues for which you will provide research-informed solutions.

The modules are outlined below:

Semester 1 - Newcastle
HR9513 (20 credits) People, Management & Organisation
SM9513 (20 credits) Introduction to Entrepreneurship
AF5022 (20 credits) Financial Decision Making

Semester 2 – Amsterdam
AT5011 (20 credits) International Business Consultancy Project
AT5012 (20 credits) Global Business Environment
AT5000 (20 credits) Digital Business

In semester 1, students will learn in an environment aligned to that of business students on full time programmes. A mixture of large group and small group sessions will take place. In semester 2, in accordance with the experiential learning pedagogical approach in the Business Clinic operated at Newcastle Business School, the International Business Consultancy Project will involve students working in groups, facilitated by academics but also independently and amongst their peers in collaborative project work to provide real business consultancy. Assessment has been developed in accordance with Northumbria’s Assessment for Learning principles including a broad mix of assessment appropriate to the learning outcomes being assessed and with opportunities for formative feedback.

A student who passes all modules will have these recorded on their transcript and HEAR record.

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AT5007 -

Year in International Multidisciplinary Innovation (4 modules studied in Amsterdam (Semester 1) & Newcastle (Semester 2) (Optional,120 Credits)

What will I learn on this module?

This overarching module descriptor covers the Year in International Multidisciplinary Innovation which is made up of 4 modules that the students will study in Amsterdam (semester 1) and Newcastle (semester 2).

This additional year of studies has been designed to develop students’ creative thinking and practical problem-solving skills in the context of design thinking approaches, all of which will significantly development academic and research skills and so strengthen employability on graduation. This year of study enhances your employability by unlocking and developing your creative problem-solving skills, knowledge, and expertise to make you more employment and industry-ready when you graduate through in multidisciplinary teams throughout your year of study in Amsterdam and Newcastle to creatively tackle and solve real-world challenges.
Semester 1 in Amsterdam comprises of two 20-credit modules aimed at students new to design thinking which also equips them for a semester in Newcastle, working in creative teams on a series of real-world projects that enhance creative thinking skills and attributes and multidisciplinary working practices. The modules studied in Semester 1, Innovative Design Practices and Tools and Multidisciplinary Exploration and Value Creation provide students with analytical design-inspired tools that enable students to examine real-world case studies that require multidisciplinary professional team-based responses and solution formation and implementation. In Semester 2, students will move to Newcastle to study two modules at Northumbria University. The first module, Design-Inspired Research Methods enables students to critically investigate key social, cultural, and technological challenges that modern urban spaces, cities, and professions. The final module, Creative Cities, enables students to engage in the creative comparative research of problems, challenges and potential innovative developments between Amsterdam and Newcastle (in terms of mobility, sustainable practices, energy provision, smart and digital technologies, urban design, or the role of cultural and humanities-oriented institutions).

The modules are outlined below:

Semester 1
AT5005 Innovative Design Practices and Tools (20 credits)
AT5006 Multidisciplinary Exploration and Value Creation (40 credits)

Semester 2
DE5012 Design-Inspired Research Methods (20 credits)
DE5013 Creative Cities (40 credits)

In semester 1, students will learn in a creative environment in the Amsterdam campus dedicated to full time programmes. A mixture of large group and small group sessions will take place in sessions and workshops that bring together AUAS and Northumbria students and staff. The focus of the teaching and learning is on creative interdisciplinary team activities that develop creative thinking and address real-world issues and problems. In semester 2, students engage in comparative city-based research to identify differing challenges facing Amsterdam and Newcastle. Students will approach a range of real-world issues from the perspective of their academic discipline and work with students from other perspectives to see how differing knowledges and skillsets can combine to address challenges in innovative and creative ways. These can include cultural institutions, design, technology, IT, and engineering, architecture, history, and the social sciences. Therefore, the programme is relevant for students from a range academic disciplines who will work together to stress how differing disciplines combine to provide solutions to challenges. Assessment has been developed in accordance with Northumbria’s Assessment for Learning principles including a broad mix of assessment appropriate to the learning outcomes being assessed and with opportunities for formative feedback.

A student who passes all modules will, on successful completion of their undergraduate programme of study, have the title “(Year in International Multidisciplinary Innovation UK and Amsterdam)” added to their degree award title. Students who do not pass 120 credits will have those modules that have been completed recorded on their transcript.

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KV5007 -

Work placement year (Optional,120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment to provide you with the option to take a one year work placement as part of your programme.

You will be able to use the placement experience to develop and enhance appropriate areas of your knowledge and understanding, your intellectual and professional skills, and your personal value attributes, relevant to your programme of study, as well as accreditation bodies such as BCS, IET, IMechE, RICS, CIOB and CIBSE within the appropriate working environments. Due to its overall positive impact on employability, degree classification and graduate starting salaries, the University strongly encourages you to pursue a work placement as part of your degree programme.

This module is a Pass/Fail module so does not contribute to the classification of your degree. When taken and passed, however, the Placement Year is recognised both in your transcript as a 120 credit Work Placement Module and on your degree certificate.

Your placement period will normally be full-time and must total a minimum of 40 weeks.

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KV5008 -

Study abroad year (Optional,120 Credits)

This module is designed for all standard full-time undergraduate programmes within the Faculty of Engineering and Environment and provides you with the option to study abroad for one full year as part of your programme.

This is a 120 credit module which is available between Levels 5 and 6. You will undertake a year of study abroad at an approved partner University where you will have access to modules from your discipline, but taught in a different learning culture. This gives you the opportunity to broaden your overall experience of learning. The structure of study will be dependent on the partner and will be recorded for an individual student on the learning agreement signed by the host University, the student, and the home University (Northumbria).

Your study abroad year will be assessed on a pass/fail basis. It will not count towards your final degree classification but, it is recognised in your transcript as a 120 credit Study Abroad module and on your degree certificate in the format – “Degree title (with Study Abroad Year)”.

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KV6010 -

Big Data (Core,20 Credits)

This module gives you a deep understanding of the concepts, theories and foundations of Big Data, and provides you with the opportunity to develop the skills to manage massive and complex data sets – as well as to infer knowledge from data - using industry standard platforms and tools. Big data analytics is the use of advanced analytic techniques on very large, diverse data sets that might include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. The module therefore includes an introduction to the specific nature and requirements of Big Data analytics, and to emerging trends and use cases where Big Data outperforms traditional data warehouse approaches. It will include an understanding – and practical use of- contemporary open-source tools such as R, Hadoop, HDFS, MapReduce, Yarn, Spark, Storm, and Hive. The module will also cover concepts of critical data studies and provide a forum for you to investigate the continuing ethical, sustainable and societal implications of Big Data.

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KV6011 -

Business Intelligence (Optional,20 Credits)

This module will introduce the key elements of business intelligence and organisational decision making. Drawing on business analytics, decision science and systems thinking, you will explore how organisations are able to leverage data and information to formulate a complete understanding of complex problems and to identify and implement optimal solutions. Employers are looking for data-literate graduates with the ability to explore and solve novel business problems, and as such, this module will cover topics such as organisational process modelling, business performance management, data analytics in a business context, and the use of data visualisation as a tool for exploration and communication. You will have to the opportunity to work with others in collaborative problem-solving scenarios, to investigate how businesses can use effective decision making to achieve optimal, sustainable solutions, and to explore the ethical, legal, and societal issues present when using data-driven technologies.

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KV6013 -

Computing Project (40 Credits)

This is your major final year project module where you will undertake a substantial individual practical computing project related to your programme of study. You will become knowledgeable in your chosen topic including important concepts and literature. You will use and further develop skills learnt elsewhere in your programme and acquire new skills and expertise to carry out the practical computing work. These could be technical skills such as a new programming language, experimental methods, and/or the use of statistical techniques to analyse your results. You will also acquire or further develop your professional skills including communication skills (both oral presentation and report writing), literature searching and review, research methods and design, project management and personal time management. Both the technical and professional skills developed through the project module will enhance your career and employability competencies.

You will have the freedom to choose a topic of your interest or select one provided by academic staff. Your project must include you undertaking practical work of some sort using computing/IT technology. This is most frequently achieved by the creation of an artefact as the focus for covering all or part of an implementation lifecycle. However, there are a diversity of approaches you can take. For example, you could choose to conduct a more product-focused project where the main deliverable is a product of some kind such as a piece of software, a game, a computer network, an information strategy. Or it could be a more investigative and/or research-focused project such as a digital forensics investigation, a comparison analysis of AI algorithms, a user experience investigation. Or your project could be a mix of both such as building a simulated network to investigate security vulnerabilities and mitigation schemes, creating a prototype to test the effectiveness of a digital technology. Projects based solely on literature review activity and/or user/market surveys are not acceptable. You could also work with an external enterprise client to create a product in terms of their business requirements.

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KV6014 -

Computing Group Project (Core,20 Credits)

In this Module you will work in a small group of your peers to undertake a significant project related to your chosen degree programme in computing. Each Project will involve the specification, design, implementation, documentation and demonstration of a technical artefact, showing your ability to synthesise information, ideas and practices to provide a quality solution together with an evaluation of that solution. This module is intended to bring together many of the concepts and skills learned in other modules prior to this point in your studies. Each project title and scope may be self-proposed or may be selected from a list of staff-defined project proposals.

Collaboration and teamwork, the capability to work with other people, from a range of cultures, to achieve common goals, for example through group work, group projects and group presentations is a key set of understanding and skills that are highly valued by employers. This Module seeks to equip you with these very skills as well as deepen an awareness/sensitivity to diversity in terms of people and cultures. Moreover, the Module will encourage networking with peers and horizon scanning to identify opportunities to advance digital capabilities and create computing solutions that seek to create a better society.

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KV6015 -

Data Analytics (Optional,20 Credits)

This module will give you an essential foundation to focus on how to conduct statistical analysis and interpret various measures correctly. You will learn to think about the process of examining data from the “ground up”, adopting pragmatic approaches e.g., how to investigate and explore data, data structures and visualisations.

‘Data Analytics’ will prepare you for the study of the computational principles, methods, and systems for extracting and structuring knowledge from data. It will also prepare you for the application and use of those principles. For example, large data sets are now generated by almost every activity in science, society, and commerce - ranging from molecular biology to social media, from sustainable energy to health care. You will explore methods to conduct efficient and pragmatic approaches to ensure you have translational skills.

During ‘Data Analytics’ you will work through a series of exercises, making use of Northumbria’s state-of-the-art computer labs. Your learning will be research-rich by providing you opportunities to link with active research groups tackling real world problems to prepare you for life beyond Northumbria. The main element in assessment (100%) will be a final assignment that will bring together all your new skills and techniques.

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KV6016 -

Data Security and Governance (Core,20 Credits)

This module is set in the context of today’s society and the organisations within. Social behaviour, often in the virtual environment, creates a range of ethical issues centering on information security and governance. In addition to exploring these social and ethical issues, legal and regulatory frameworks that have been developed in recent years to try to address these issues are examined. You will also learn about security in organisations and will be introduced to a range of common threats and countermeasures. Topics include basic definitions of terminology alongside practical and theoretical frameworks to help you identify key governance and security issues and explore potential preventative measures. You will be covering terms such as ‘governance’ and ‘security’, frameworks which include the information life cycle, regulations and guidelines relating to professional conduct, privacy and data protection,

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KV6018 -

Evolutionary Computation (Optional,20 Credits)

Evolutionary algorithms (EAs) are a class of optimisation techniques that are inspired by natural evolution. They are well-suited to problems for which no specific solution method exists, or where other methods perform badly, and they have been used very successfully in areas as diverse as finance, engineering, architecture and logistics. In this module, you will learn about the fundamental principles of EAs, understand how (and why) they are used, and develop your own EA for a specific problem.

EAs are used extensively in business, industry, and scientific research, and the ability to analyse a problem and develop an EA to solve it demonstrates a number of sought-after key skills.

This module is research-driven, and is taught by academics who have published extensively in the field of evolutionary computation. You will benefit from access to up-to-date knowledge, codebases and datasets.

The main component of assessment is a development assignment (70%), which will bring together the skills and techniques that you will acquire during the course of the module.

Indicative list of topics:

• Natural and artificial evolution
• Representation schemes and search operators for optimisation
• Constrained and multi-objective optimisation
• Evaluation of evolutionary algorithm performance
• Theoretical foundations
• State-of-the-art applications

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To start your application, simply select the month you would like to start your course.

Data Science BSc (Hons)

Home or EU applicants please apply through UCAS

International applicants please apply using the links below

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YEAR

Any Questions?

Our admissions team will be happy to help. They can be contacted on 0191 406 0901.

Contact Details for Applicants:

bc.applicantservices@northumbria.ac.uk

All information is accurate at the time of sharing.

Full time Courses starting in 2023 are primarily delivered via on-campus face to face learning but may include elements of online learning. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to flex accordingly to ensure the health and safety of our students and staff.

Contact time is subject to increase or decrease in line with additional restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors, potentially to a full online offer, should further restrictions be deemed necessary in future. Our online activity will be delivered through Blackboard Ultra, enabling collaboration, connection and engagement with materials and people.

 

Current, Relevant and Inspiring

We continuously review and improve course content in consultation with our students and employers. To make sure we can inform you of any changes to your course register for updates on the course page.


Your Learning Experience

Find out about our distinctive approach at 
www.northumbria.ac.uk/exp

Admissions Terms and Conditions
northumbria.ac.uk/terms

Fees and Funding
northumbria.ac.uk/fees

Admissions Policy
northumbria.ac.uk/adpolicy

Admissions Complaints Policy
northumbria.ac.uk/complaints

Order your prospectus

If you're a UK/EU student and would like to know more about our courses, you can order a copy of our prospectus here.

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* At Northumbria we are strongly committed to protecting the privacy of personal data. To view the University’s Privacy Notice please click here

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Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

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Virtual Tour

Get an insight into life at Northumbria at the click of a button! Come and explore our videos and 360 panoramas to immerse yourself in our campuses and get a feel for what it is like studying here using our interactive virtual tour.

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