Neuroscience with Artificial Intelligence
Keele University
UCAS Code: BG41 | Bachelor of Science (with Honours) - BSc (Hons)
Keele University
UCAS Code: BG41 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
BBB in three A Levels including B in one Science subject from the Keele Defined Sciences List (please see the Keele website)
Access to HE Diploma
122 UCAS points in a Computing, Engineering, Health, Nursing, Medicine, Science, or Sports Access to HE Diploma including Distinction in at least 30 Level 3 credits
GCSE/National 4/National 5
You will also need: 4 / C in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification (please see the Keele website)
International Baccalaureate Diploma Programme
555 in three Higher Levels including 5 in one Science subject from the Keele Defined Sciences List, or 30 points including 5 in one Higher Level Science subject from the Keele Defined Sciences List (please see the Keele website)
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDM in any of the following BTEC Extended Diplomas / National Extended Diplomas: Applied Science, Forensic and Criminal Investigation, Health and Social Care, Information Technology, Sport, Sport and Exercise Science
T Level
Merit in any of the following T levels: Health, Healthcare Science, Science
UCAS Tariff
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Immerse yourself in the dynamic fields of neuroscience and AI, where human cognition merges with computational breakthroughs. Learning from our research-active experts in state-of-the-art laboratories, you'll explore the intricate complexities of brain function and how artificial intelligence and machine learning can revolutionise the diagnosis and treatment of neurological disorders. On successful completion of the programme, you'll graduate with the research, data analysis, and computational methodologies to drive advances in research, biotechnology, and clinical diagnostics.
**Why choose this course?**
- 20th in England for Neuroscience, Guardian University Guide 2025
- Accredited by the Royal Society of Biology
- Leverage cutting-edge data science, AI, and machine learning to reveal hidden patterns in complex datasets and advance the diagnosis of neurological disorders
- Learn core fundamental Computer Science topics that underpin Artificial Intelligence, such as programming, computer systems, and the study of algorithms and their analysis
- Understand how artificial intelligence principles can be applied to neuroscience datasets
On our Neuroscience with Artificial Intelligence BSc, you'll learn the key principles of neuroscience (e.g. neuroanatomy, neurophysiology, neuropharmacology, neuropathology, and behaviour), and develop the highly sought after AI-related digital skills to help unlock previously hidden trends in the complex datasets found in the field of neuroscience.
Throughout the programme you'll benefit from practical and professional employability modules, including research training in experimental design, scientific programming, and career-focused sessions, equipping you with the skills and connections for a successful career.
ou can also enhance your employability by choosing to spend time in industry with year-long or flexible placements or spend a year studying abroad.
In your final year, you'll undertake a self-directed research project, guided by our expert neuroscience staff. Whether laboratory-based or computational, your project allows you to plan, execute, and present your findings at our student conference, providing a unique platform to showcase your expertise and prepare for future opportunities.
**About Keele**
Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university.
We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level.
Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.
Modules
For a list of indicative modules please visit the course page on the Keele University website
The Uni
Keele University
School of Computer Science and Mathematics
What students say
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How do students rate their degree experience?
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Biomedical sciences (non-specific)
Teaching and learning
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Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
Sorry, no information to show
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Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Biomedical sciences (non-specific)
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Neuroscience
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£24k
£26k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£21k
£34k
£32k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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