Interested in studying artificial intelligence? Browse our undergraduate and postgraduate courses featuring elements of artificial intelligence.
The University of Nottingham has a long tradition of AI teaching and offers both undergraduate and master’s degree programmes, which draw on a wide range of specialist AI courses across the AI curriculum. We have also funded postgraduate (inter/multidisciplinary) research opportunities on AI and AI-related topics and excel in training the next generation of AI experts and academics through integrated research and doctoral training programmes. Students with a diverse set of backgrounds can individually focus on specific application areas, collaborate and explore wider solutions to the fundamental AI challenges enjoying our state-of-the-art facilities.
All course information is correct as of January 2021, please check with each school for more information.
Undergraduate degrees
School of Computer Science
School of Mathematics
An interdisciplinary course with computer science that covers the fundamentals of statistics and probability, alongside advanced techniques of data analysis and uncertainty modelling, and core areas of applied mathematics. Statistics plays a vital role in global business, data analytics, healthcare modelling and artificial intelligence.
Statistics (BSc)
Masters degrees
School of Computer Science
Computer Science is playing a key role in many industries all around the world. The following courses give students the skills and knowledge to prepare them for a range of high-level careers covering the key topics such as UX design, artificial intelligence and data analysis providing flexibility to broaden their knowledge in specialist areas, including machine learning and autonomous robotics.
Computer Science (MSc) (one-year)
Computer Science (MSc) (two-year)
In this course, students will be equipped with the principles of integrated system design and computational and cyber physical systems methods and tools. Core modules will broaden the knowledge of students in key topics including artificial intelligence, robotics, cyber security, modelling and simulation, ethical design and interactive systems.
Cyber Physical Systems (MSc) (one-year)
Cyber Physical Systems (MSc) (two-year)
School of Mathematics
This course provides students with the essential knowledge and skills relevant for a career as a professional statistician or researcher and gives flexibility to tailor the degree according to the interests and career aspirations of applicants through optional modules including, amongst others, Statistical Machine Learning, Computational Statistics, and Applied Multivariate Analysis.
Statistics (MSc)
School of Physics and Astronomy
A multidisciplinary course which provides advanced training into the fundamentals of modern machine learning and artificial intelligence with particular focus on their application to problems across the sciences.
Machine Learning in Science (MSc)
School of Psychology
An interdisciplinary course that uniquely combines aspects of psychology, mathematics and computer science. Computational neuroscience aims to better understand brain function, develop better analysis tools for neural data and inspire artificial intelligence algorithms
Computational Neuroscience, Cognition and AI (MSc)
Postgraduate research
School of Computer Science
Faculty of Science AI DTC
The multidisciplinary Nottingham Doctoral Training Centre (DTC) in Artificial Intelligence offers fully funded four-year PhD studentships that encompass taught module and internship components. A variety of research topics will be available to select from.
EPSRC Horizon Centre for Doctoral Training – Creating our Lives in Data
The CDT focuses on digital identity, personal data and data creativity within the global digital economy and is affiliated with the Horizon Digital Economy Research Institute. Each PhD student is paired with an industry partner to carry out collaborative research and completes an industry-based internship.
Faculty of Engineering
EPSRC CDT in Sustainable Hydrogen - SusHy
The Sustainable Hydrogen (SusHy) CDT is a collaboration between the Universities of Nottingham, Loughborough, Birmingham and Ulster. Through active involvement of stakeholders in co-creation of the training programme, the 4-year CDT programme aims to train high-quality, industry-ready doctoral Energy Innovation Leaders for the hydrogen sector.