MSc Computational Neuroscience, Cognition and AI

This programme is uniquely hands-on, bridging the gap between theoretical models of brain function and the development of artificial intelligence. You will gain practical skills by working with neuroimaging data, building computational models, and testing AI algorithms, using the University's specialised research facilities. This research-led approach is central to the programme, providing direct experience through the following components:

• Access to Neuroimaging Facilities: You will have the opportunity to work with data from, and learn about, world-class facilities like the Sir Peter Mansfield Imaging Centre (a pioneer in MRI technology) and the BIAL Foundation Grant-funded MEG scanner, gaining insight into human brain activity.

• Specialist Software and Programming: The curriculum involves extensive practical work using programming languages like Python and MATLAB, alongside specialised computational neuroscience and AI libraries such as Brian, Nengo, TensorFlow, and PyTorch for simulating neural systems and machine learning.

• Substantial Research Project: A core element is a significant research dissertation, where you will apply computational methods to a substantive problem in neuroscience or AI, often embedded within one of the University's leading research groups.

• Research-Led Teaching and Institutes: The programme is delivered by academics from the School of Psychology and the Nottingham Biomedical Research Centre, with strong links to the University of Nottingham Institute for Neuroscience (UNIoN), ensuring you are exposed to cutting-edge research.

• Practical, Modelling-Focused Modules: Courses are designed around practical sessions where you will build and test computational models of cognitive processes (like learning and decision-making) and neural circuits, analysing both synthetic and real experimental data.

Graduates of the MSc Computational Neuroscience, Cognition and AI at the University of Nottingham are equipped for careers as Computational Neuroscientists, Cognitive Data Analysts, AI Researchers, and Biomedical Data Scientists. The interdisciplinary program, combining psychology, mathematics, and computer science, prepares students to apply computational models and AI to understand brain function and cognition, leading to roles in research, healthcare, and AI development.

• The University’s Careers and Employability Service offers tailored support including one-to-one career advice, sector-specific workshops, employer networking, and internship placement assistance relevant to neuroscience and AI fields.

• Approximately 94.6% of postgraduates from the School of Psychology, which includes this program, secure graduate-level employment or further study within 15 months; average starting salaries are around £23,000 to £25,000, with potential for higher earnings in specialized research roles.

• The program benefits from close links with research centers and collaborative projects in computational neuroscience, cognitive science, and AI, enhancing practical skills and employability.

• It is backed by research excellence and up-to-date scientific knowledge, ensuring graduates meet professional standards for roles in academia and industry.

• Alumni contribute to cutting-edge research institutions, healthcare technology companies, AI development firms, and academic careers globally.

Further Academic Progression:
Graduates are well-positioned to pursue PhD research in computational neuroscience, AI, cognitive science, or related interdisciplinary fields. They may also undertake postdoctoral fellowships or advanced certifications in brain imaging, machine learning, or neural data analysis to deepen their expertise.