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What Skills Do I Need to Get a Job In Artificial Intelligence?

Artificial Intelligence (AI) is changing the world we live in. It’s at the forefront of the huge wave of digital transformation we’re witnessing across the world – from the rapid growth of smartphone technology, to supply-chain automation, fraud prevention, heating our homes, online shopping, email spam filters, diagnosing illnesses and more. It’s everywhere around us, and its capabilities are sought-after by almost every industry.  

It’s no surprise, therefore, that research from Gartner suggests that the demand for workers with specialist AI and machine learning knowledge has tripled between 2015 and 2019. This requirement is not just limited to IT: departments recruiting AI talent in high volumes include marketing, sales, customer service, finance, and research and development, who are often not just looking to create new technologies, but wanting to use AI to draw more value from the huge amounts of data that they hold. 

However, there’s a worldwide skills shortage in this area: in the research, respondents ranked ‘skills of staff’ as the number one challenge or barrier to the adoption of AI and machine learning, with the demand making these roles some of the most lucrative positions within the technology sector. 

That’s where we come in. As members of the UK government funded Institute of Coding, we’re dedicated to filling the skills gap that is needed to drive digital change. Whether you’re looking to kickstart your career in Artificial Intelligence, or you’re already working in tech and want to sharpen your knowledge to secure a dedicated AI role, join us as we explore the skills that are most in demand. Along the way, we’ll also take a closer look at how our Computer Science with Artificial Intelligence MSc will equip you with the expertise you need to build a smarter tomorrow. 


1. Programming

Whatever Artificial Intelligence career you’re looking to pursue – whether it’s as a machine learning engineer, an algorithm developer, a computer vision engineer, or a SLAM engineer – developing a strong knowledge of programming languages is a key skill that you need to harness. 

Over the course of our dedicated Object Orientated Programming (OOP) module, you’ll learn how to design, implement, test and document programs and gain practical programming experience by solving small scale problems. Don’t worry if you don’t have previous experience – we’ll teach you everything you need. 

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2. Database Modelling, Data Warehousing and Data Processing 

Employers around the world are searching for Artificial Intelligence experts who have the skill set to not only be able to manage large amounts of data, but are also able to use machine learning techniques to unlock its worth faster and more efficiently. In our dedicated Data Modelling and Analytics module, you’ll get to grips with current database technology, learn how to design and manipulate databases with relational algebra and SQL, alongside building an appreciation of non-traditional data types, systems and applications, such as NoSQL databases. Throughout the course, you’ll have plenty of opportunities to put these skills into practice. 

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3. Machine Learning 

Put it simply, Artificial Intelligence is a broad concept encompassing machines being able to carry out tasks in a way that we consider ‘smart’, and machine learning is how we make this a reality, without telling the machines what to do. If your dream role is to be a machine learning engineer, for instance,  it would be your job to create machines which can learn by themselves – or be able to unearth patterns hidden in huge amounts of data – without being explicitly programmed to do so. One thing is certain: machine learning is changing society forever and, as an Artificial Intelligence expert, it would be your role to push this technology to new heights.

In our AI and Digital Technology module, you’ll see first-hand how this technology is transforming business and manufacturing, then in our AI Studio module, you’ll learn the fundamental theory behind it. You’ll get to grips with the concepts, current AI and machine learning techniques and research advances that you’ll need to take your learning further, as well as an introduction into the optimisation algorithms you will use to create and train neural networks.

You’ll also explore the differences between supervised and unsupervised learning techniques and delve deeper into the world of shallow and deep learning neural network techniques, important sub-fields of machine learning. 

4. Knowledge of Intelligent User Interfaces (IUI) 

What do Amazon’s Echo range, Ring Video Door Bells and Google Nest Hub all have in common? They’re all interactive systems that work with autonomy, have the capacity to carry out tasks for us and prompt our input too. As systems like these become increasingly capable, Artificial Intelligence experts are challenged to design user interfaces – or the ways in which people interact with a system, such as a remote control, touch–screen or voice recognition – that are transparent, understandable and responsive. Knowledge of the human factors that you’ll need to take into account when designing, using and evaluating IUIs is therefore paramount to success within the AI world. 

In our dedicated Intelligent User Interfaces module, you’ll learn how to prototype and evaluate an IUI design. Along the way, you’ll explore different technologies that are controlled by voice recognition, chatbots and more, and also discuss their application within secure systems, vehicle automation, smart homes and smart cities, helping you to pave the way when it comes to designing the tech of tomorrow.  

5. Problem Solving 

No matter which career route you choose, developing an analytical mind will take you far in Artificial Intelligence – and honing those skills will take practice. Throughout the course you’ll be encouraged to do just that and during your dissertation project, you’ll have the opportunity to apply your knowledge and grow your problem solving capabilities during a substantial piece of independent research. 

Drive Digital Change: Join Our Computer Science Masters 

Learn more about our Computer Science MSc here, and discover how our specialist Artificial Intelligence pathway will help you build a smarter tomorrow.  

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