Computer Science

Computer science with a specialism in artificial intelligence sits at one of the most consequential frontiers in contemporary technology. AI now shapes how we search for information, how medical diagnoses are made, how financial markets operate, and how vehicles navigate roads. Understanding the principles underlying these systems, and the ability to build and critically evaluate them, has become one of the most sought-after capabilities in the modern economy.

This programme at Nottingham Trent University prepares you to work at exactly that intersection.

The course runs over four years and includes a foundation year designed to build the mathematical, computational, and analytical foundations you will need before entering the main degree. This makes the programme well suited to students who have genuine ability and interest in the subject but who may not have had the opportunity to develop formal programming or mathematics experience at school. From the first year of the main degree onwards, you will study the core principles of computer science alongside increasingly specialised content in artificial intelligence.

You will explore how intelligent systems are designed and trained, how machine learning algorithms process and learn from data, how natural language is processed computationally, and how AI systems can be made more reliable and understandable. Programming will be central throughout, and you will build practical experience alongside theoretical understanding. The programme develops logical reasoning, problem-solving under constraint, and the ability to think carefully about how computational systems behave and what their limitations are.

Graduates from this kind of programme go on to roles as software developers, data scientists, machine learning engineers, AI researchers, and technology consultants, among many other careers. The breadth of computer science combined with the depth of AI specialisation means you will be equipped for roles across industry, public services, healthcare technology, and academic research. Further study at postgraduate level, including taught masters degrees and research doctorates, is also a well-trodden path for graduates who want to develop their expertise further.