Artificial Intelligence and Computer Science
Artificial intelligence and computer science represent two of the most consequential fields of the current era. Computer science provides the foundational knowledge of how computing systems are designed, programmed, and made to function reliably, including the mathematics, algorithms, data structures, and engineering principles on which all software is built. Artificial intelligence builds on this foundation to develop systems that can learn from data, reason under uncertainty, recognise patterns, and take actions that would previously have required human judgement.
Together they form a curriculum that addresses both the theoretical roots and the cutting-edge applications of modern computing.
At Teesside University, this three-year full-time programme develops your understanding of computer science fundamentals alongside increasingly sophisticated AI topics, including machine learning, data-driven methods, and their applications in real-world systems. You will build strong programming skills and develop the ability to think rigorously about algorithms and problem-solving, applying these capabilities in both theoretical and practical contexts. The programme includes a sandwich year, giving you the opportunity to undertake a period of industrial work experience as part of your degree, which is a significant advantage when entering the job market on graduation.
Graduates with expertise in both AI and computer science are in exceptional demand across the technology sector and beyond. Career paths include software engineering, machine learning engineering, data science, AI research, product development, and technical consulting. Sectors including finance, healthcare, logistics, retail, defence, and government all have growing need for professionals who understand both how to build computing systems and how to make them intelligent.
Postgraduate study in AI, machine learning, data science, or computer science is also a well-trodden route for those who wish to deepen their expertise or pursue research.