Neuroscience with Artificial Intelligence with Foundation Year
Keele University
UCAS Code: BG42 | Bachelor of Science (with Honours) - BSc (Hons)
Keele University
UCAS Code: BG42 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
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About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**Foundation Year**
Our Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year. This extra year of study can improve your academic skills, expand your subject knowledge, give you a better understanding of higher education and, perhaps most importantly of all, build your confidence. On the Keele Foundation Year, you'll study on campus, joining our undergraduate community from the outset, with access to all the facilities and support that you'd get as an undergraduate student at Keele.
**International Students**
For International Students, Foundation Years are delivered through our dedicated on-campus provider, Keele University International College. To find out more, visit https://kuic.keele.ac.uk/
**Neuroscience with Artificial Intelligence**
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 Neuroscience with Artificial Intelligence at Keele?**
- 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
**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 Life Sciences
What students say
We've crunched the numbers to see if the overall teaching satisfaction score here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below 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)
Teaching and learning
Assessment and feedback
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
This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.
Who studies this subject and how do they get on?
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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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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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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