Overview

Artificial intelligence and big data are transforming how technology is designed and applied, and building genuine expertise in this space requires both strong computing fundamentals and specialist AI knowledge. The BSc (Hons) Computer Science (Artificial Intelligence) at Nottingham Trent University equips students with skills across machine learning, natural language processing and cognitive computing, alongside a clear understanding of the professional and ethical questions AI raises. The course shares its first year with related computing degrees, allowing flexibility to explore before specialising, and offers the chance to gain a Microsoft Azure AI Fundamentals certification along the way. It suits students who want to become confident, informed AI practitioners, ready to apply intelligent systems to real industrial, commercial and scientific challenges.

​

What You'll Learn

• Core computer science principles alongside specialist artificial intelligence concepts

• Machine learning, natural language processing and cognitive computing techniques

• The professional and ethical considerations surrounding the use of AI

• Shared foundational content with related computing degrees in the first year, allowing flexibility to choose a specialism

• The design and development of intelligent computer systems and emerging smart technologies

• Practical skills development integrated throughout the curriculum, preparing you for the world of work

• Industry-recognised certification through the Microsoft Azure AI Fundamentals course

• Real-world application of AI to fields such as robotics, agriculture and smart systems, informed by active staff research

​

Learning Outcomes

By the end of the course, students will be able to apply core computer science knowledge alongside specialist understanding of machine learning, natural language processing and cognitive computing to design intelligent systems. They will be equipped to critically consider the professional and ethical implications of AI, using this awareness to inform responsible technical decision-making. Through practical, industry-relevant project work and skills development embedded across the curriculum, students will build the technical and problem-solving abilities needed to adapt AI to real-world challenges. Graduates will leave with a strong, professionally accredited grounding in computer science and artificial intelligence, well prepared for further study or a career designing intelligent systems and emerging smart technologies.