BR5005 - Business Analysis

What will I learn on this module?

In this module, you will develop the knowledge and skills in applying a variety of quantitative data analysis techniques to support business decision making. You will be introduced to business modelling using appropriate analytical tools, and your learning will cover a range of techniques to help business forecasting and data presentation. In this module you will be exposed to a range of data analysis tools and skills, including:

• Business Analysis and Modelling: management of complex and varied data sets; building spreadsheet models.
• Data Trends and Associations e.g. identifying relationships between business variables.
• Business Forecasting and Predictive Modelling – analysing factors and trends for business planning.
• Business and Dashboard reporting – consolidation, interpretation and presentation of data for professional output.
• Data distribution, data presentation and using summary statistics – handling a range of data for statistical analysis.
• Gaining an understanding of the overlap between business and research data and the selection of appropriate tools for management of both types of data.

Working with these analysis tools, you will learn to develop confidence in dealing with a wide range of data sets. You will become familiar with the role of modelling as an aid to problem solving and will build skills which enable you to interpret data and present your findings to a range of audiences. Very importantly, you will gain a good understanding of the crucial role that analysis of data and interpretation of results plays in the decision-making arena.

How will I learn on this module?

At The Bridge you learn through a blended approach where short, focused and interactive face-to-face sessions are underpinned by guided and independent online learning. Your attendance for scheduled activities is monitored regardless of whether you are on campus or joining the session remotely. This ensures you access all of the learning opportunities which have been purposefully designed for your success.

A range of teaching and learning approaches are adopted to accelerate your learning in this module.

During the first week of this module, you will receive information about the module and Teaching & Learning Plan. The teaching and learning plan (TLP) sets out
• Learning outcomes and overall module and programme aims
• Teaching, learning and assessment strategy
• Teaching schedule
• Directed reading references (text and journals) and core texts for the module
• References to data sources and details of lab activities

You will also receive the assessment brief which sets out the formative and summative assessments throughout the module.

How will I be supported academically on this module?

There are three key sources of academic support available to you during your time at the Bridge in addition to Ask4Help who are available 24/7 for general queries related to your studies.

Your Module Tutor
Your module tutor is responsible for your learning outcomes on the module. They deliver the workshops and provide guidance in relation to learning and assignments. They develop all of the key resources and make them available through the eLP (electronic learning portal module) Blackboard, which is used to provide support materials, interactive learning tasks and give you regular opportunities to test and get feedback on your learning. You will be given both written and verbal feedback and guidance on your work and progress during the semester by your module tutor.

Your Learning Mentor
On programme, you will have your in-person and online engagement activity tracked against the learning plan with key check-in points built into the academic calendar to ensure you maximise your learning potential. Engagement with formative assessments will also be used by the learning mentor to discuss any action planning required to ensure success.

Academic Skills Team
The Bridge aspires to build a range of student skillsets, including digital skills, academic writing and discourse, working alone and in teams. Your learning mentor may refer you a dedicated academic skills team which is based in the centre. Here you can attend drop-ins or schedule 1-1 sessions on issues which have been identified at the diagnostic stages of the programme however you may also have self-identified areas for your own growth and self-refer yourself for support.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
MLO1: Understand a variety of introductory statistical techniques and their application to the analysis and interpretation of business data for a variety of organisational applications.
MLO2: Understand and demonstrate the role of modelling as an aid to decision making; through the selection of models and techniques to assist in the solution of business problems.
MLO3: Develop an understanding of how data analysis can inform business decision making
Intellectual / Professional skills & abilities:
MLO4: Apply appropriate BA techniques to real world business problems in a clear and detailed manner with a stakeholder

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
MLO5: Demonstrate clear engagement with contemporary business analysis research

How will I be assessed?

You will receive formative feedback throughout the module including at the following checkpoints:-

•Week 2: Navigating the course materials
•Week 4: Completing the in-module reflective tasks
•Week 6: Completing the in-module knowledge checks and tasks

This module allows the option for you to chose how you are assessed formally depending on your learning preference and approach to the specific module. You should indicate your chosen assessment choice by the in-module reflective check-point at week 4.

Your choices are either (i) to conduct a business analysis based on a written brief and provide a 2,000 word report. The brief can be provided for you or you may propose one from your current employer which the Module tutor will approve. OR (ii) a 2 hour simulation exam where you will conduct a business analysis session( with open notes) with a proposed client.

This will address all Module Learning Outcomes.

Universal Design for Learning
You will discuss and agree the most appropriate assessment method with your Learning Mentor in the early stages of your module.

Pre-requisite(s)

NA

Co-requisite(s)

NA

Module abstract

The module will equip you to deal with analytical content in future study and employment. You will gain a theoretical understanding of various business modelling and data-handling applications supported through practical, tutor-led workshops, including quantitative data analysis techniques to support business decision making. The skills and tools identified for use in the module are based on research and collaboration with a variety of businesses, making the data-handling and interpretative skills learned on this module directly transferable to further study and working life. You’ll also be expected to read widely on the subject to aid your practical understanding and you’ll be expected to work on a series of real-world tasks over the course of the semester in preparation for the final assessment.

Course info

Credits 15

Level of Study Undergraduate

Mode of Study 4 years Full Time

School Newcastle Business School

Location Coach Lane Campus, Northumbria University

City Newcastle

Start November 2026 or February 2027 or July 2027

Fee Information

Module Information

All information is accurate at the time of sharing. 

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.  

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.

 

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