BSc (Hons) Neuroscience with Artificial Intelligence Bachelor's degree at Keele University
BSc (Hons) Neuroscience with Artificial Intelligence at Keele University combines neuroscience with AI, preparing you for roles that bridge these disciplines.
About this course
Develop skills in neuroscience, data analysis and AI with Neuroscience with AI BSc at Keele University, for careers in healthcare research & technology. Learn more. From the provider’s course page.
BSc (Hons) Neuroscience with Artificial Intelligence is a Bachelor's degree (BSc (Hons)) at Keele University. It runs 3 years, studied full-time.
For Biomedical sciences (non-specific) graduates from this provider, 85% were in work or further study 15 months after graduating, 65% in highly skilled roles, typical earnings around £24,500. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Limited evidence Published sample: 25; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 86% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Modules 16 modules
- Molecules of LifeCompulsory
Module details
Introduction to fundamental concepts in structure and function of biological molecules, from three-dimensional structure of proteins and enzyme activity to metabolic pathways. Develops key skills in data analysis, presentation and communication through reporting laboratory investigations.
- Problem Solving and Computer ProgrammingCompulsory
Module details
Introduces fundamental concepts of computer programming using Python with strong practical element. Second part teaches modern programming practices in Java, covering testing strategies and intermediate Java programming syntax.
- Introduction to NeuroscienceCompulsory
Module details
Introduces anatomy and function of the nervous system with primary focus on human nervous system. Covers key structures and their roles in maintaining bodily functions, sensory perception, motor control, and homeostasis.
- Practical and Academic Skills in BioscienceCompulsory
Module details
Develops range of core practical laboratory skills, applying theoretical concepts and deepening understanding through hypothesis-driven practical investigation. Includes workshops on effective study practice, data analysis and communication, and career talks from speakers including former graduates.
- Fundamentals of Computer SystemsCompulsory
Module details
Teaches fundamental concepts of computer hardware and software. Covers computer systems, logic design, operating systems, programming languages, hardware design, and computational principles like parallelism and caching.
- Functional NeuroanatomyCompulsory
Module details
Explores nervous system anatomy, blood supply, and cerebrospinal fluid movement. Examines morphology and organization of key neurological structures including thalamus, cerebellum, basal ganglia, cerebral cortex, limbic system, brainstem nuclei and major sensory and motor projections. Develops transferable skills through outreach video.
- Practical and Professional Skills in BioscienceCompulsory
Module details
Develops range of core practical laboratory skills, applying theoretical concepts and deepening understanding through hypothesis-driven practical investigation. Includes workshops on effective study practice, data analysis and communication, and career talks from speakers including former graduates.
- Neuroscience Research MethodsCompulsory
Module details
Explores key research techniques (electrophysiology, histology, biological models) and analytical methodology (advanced software, artificial intelligence) used in Neuroscience research. Helps design research projects with appropriate methods, statistically analyse data, and develop scientific skills.
- Artificial Intelligence and Machine LearningCompulsory
Module details
Introduction to artificial intelligence covering neural networks, deep learning, evolutionary algorithms and neuroevolution. Focuses on understanding underlying principles and writing programs using machine learning software libraries for tasks such as text analysis, data analytics, visualisation, computer vision, image processing and pattern recognition.
- NeurophysiologyOptional
Module details
Examines physiological mechanisms behind neuronal activity, including membrane properties and ion channels for generating action potentials. Covers synaptic transmission and plasticity, sensory system physiology and functional connectivity.
- Learning and MemoryOptional
Module details
Covers brain-related processes underlying acquired changes in behaviour. Includes physiological and molecular mechanisms involved in acquisition, consolidation and retention of information, leading to changes in synaptic physiology and connectivity. Discusses diseases and disorders with memory impairments.
- NeuropharmacologyOptional
Module details
Explores mechanisms of neurological drugs and key pharmaceutical concepts - absorption, metabolism, solubility, ability to cross blood-brain barrier, clearance and toxicity (ADMET) - applied to the brain.
- Cellular and Molecular NeuroscienceOptional
Module details
Studies cellular and molecular aspects of nerve cells vital for understanding how molecules, intracellular pathways and brain cells form complex brain networks. Covers variety of brain cells, cellular features, molecular neurobiological pathways and methodologies such as gene and protein omics. Discusses cellular and molecular aspects in brain-based disorders.
- Advanced Artificial Intelligence and Data EthicsCompulsory
Module details
Expands range of artificial intelligence themes. Explores in greater depth selected research-led topics at forefront of current thinking in AI. Provides insights into fundamental issues in data ethics, security and AI governance. Students acquire practical data science and machine learning skills such as dataset analysis, anonymisation and fairness testing.
- Research ProjectCompulsory
Module details
Substantial piece of meaningful research drawing together skills in experimental study design, critical interpretation of data, and professional competencies. Can choose from range of projects including lab- or field-based research, systematic reviews, bioinformatics, teaching and learning, or outreach. Culminates in student conference presentation.
- Current Research Topics in NeuroscienceCompulsory
Module details
Studies selection of relevant current research topics. Neuroscience is one of the fastest growing research areas with new concepts emerging constantly.
Level 5 1 modules
- Flexible Work PlacementOptional
Module details
Allows students to gain hands-on experience, enhance employability skills, and provide insights into professional world. Built-in flexibility on when and how to complete placement, enabling balance around existing demands.
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
This course combines neuroscience, data analysis and artificial intelligence to prepare you for careers in healthcare research and technology. You'll normally begin with programming fundamentals, typically in Python and Java, alongside computer systems and architecture, and discrete mathematics for computing. In Year 2, you'll progress to algorithms and data structures, databases and software engineering, and artificial intelligence and machine learning, covering search, learning algorithms and model evaluation. Year 3 offers specialist options such as cybersecurity, data science, software engineering, human-computer interaction and systems and networks, alongside security and networks modules and a substantial individual project where you'll design and evaluate your own software solution.
Who it's for
This course suits graduates interested in how artificial intelligence applies to neuroscience and brain research. You'll benefit from entry with A-levels or equivalent qualifications; most accepted students (85%) held these. The typical UCAS tariff band among recent entrants was 64–79 points. The course is taught in English and delivered full-time over three years.
University & format
This is a full-time Bachelor's degree (BSc Hons) taught in English over 3 years at Keele University, a university founded in 1949 and located in the UK. Keele is a recognised UK degree-awarding body; its degrees are nationally recognised. The university holds Gold for teaching quality in the Office for Students' TEF 2023. Bursaries and scholarships are available; check the university's funding pages for details.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
Contextual Offer Eligibility and any reduced offer are applicant-specific.
Placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 85% |
| another higher-education qualification | 9% |
| a previous degree | 3% |
| a Baccalaureate | 1% |
| an Access course | 1% |
| Other | 1% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students came in with a broad spread of qualifications and UCAS points. If you're worried about grades, this course has historically taken a wide range, and contextual offers may apply.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code BG41). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at Keele University →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £24,500 | £23,000 – £28,000 | 25 |
| 3 years after | £23,000 | £18,500 – £28,500 | 20 |
| 5 years after | £30,000 | £25,000 – £37,500 | 25 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 25; treat comparisons cautiously. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 25; treat comparisons cautiously. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Information Technology ProfessionalsSOC 2020 213 · 45% of published destinations · ASHE median £55,357
- Natural and social science professionalsSOC 2020 211 · 15% of published destinations · ASHE median £44,243
- Caring personal servicesSOC 2020 613 · 10% of published destinations · ASHE median £23,668
- Science, engineering and technology associate professionalsSOC 2020 31 · 10% of published destinations · ASHE median £34,828
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 45; response rate: 65%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
85% were in work or further study 15 months after graduating, with a median salary of £24,500. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 8.5 out of 10: NSS 85.1% · in work or study 85% · continued 86%.
Who studies here and in this subject?
Provider- and UK subject-level context.
Keele University
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Keele University
88 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to Keele University from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by Keele University; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check Keele University’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with Keele University and gov.uk before you apply.
Related courses
More at Keele University
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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