BSc (Hons) Data Science Bachelor's degree at West London
BSc (Hons) Data Science at West London. The university is a recognised UK degree-awarding body, and this qualification is nationally recognised.
About this course
BSc (Hons) Data Science is a Bachelor's degree (BSc (Hons)) at West London, based in Ealing / Brentford. It runs 3 years, studied full-time.
For Computing graduates from this provider, 80% were in work or further study 15 months after graduating, 65% in highly skilled roles, typical earnings around £27,000. (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)
Moderate evidence Published sample: 30; avoid reading small differences as meaningful. Cohort 2021-23. Graduate Outcomes work or further study 80% (2021-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 88% (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.
Level 4 6 modules
- Probability and StatisticsCompulsory
Module details
This module is an introduction to probability theory and statistical methods. The module leads to a deeper understanding of probability distributions, random variables and their role in sampling. Tools such as hypothesis testing are presented and a basic introduction to the statistical software SPSS is provided.
- Linear AlgebraCompulsory
Module details
The aim of this module is to extend your knowledge of matrices, vectors and systems of linear equations and to introduce the abstract concepts of vector spaces, linear maps and inner products.
- ProgrammingCompulsory
Module details
This module provides a thorough grounding in the fundamentals of Java programming language and object programming concepts. It will focus on the design and build of Java desktop applications using the Java Development Kit and popular Integrated Development Environments, following established industry standard methodologies. The module will have a strong emphasis on using OO modelling techniques to interpret and implement business related applications.
- Calculus 1Compulsory
Module details
This module introduces you to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. Tools and techniques for differentiation and integration will be presented in detail.
- Data Science and VisualisationCompulsory
Module details
This module will equip you with the foundational knowledge and practical skills necessary to analyse, visualise and extract insights from complex data within the context of artificial intelligence. You will be able to discover, analyse, visualise and present data in a meaningful way that will harness the power of data for new insights. You will gain practical skills using commercially available open-source software (e.g. Python, TensorFlow, etc) to apply data analysis and visualisation technique
- Algorithms and Data TypesCompulsory
Module details
This module will help you to gain the knowledge and competence to deal with basic data structures and algorithms. You will learn how to specify collections using abstract data types (ADTs) and to implement them using a variety of techniques such as linked lists and trees. You'll also use a range of algorithms, including searching and sorting.
Level 5 10 modules
- Multi-variate CalculusCompulsory
- Artificial IntelligenceCompulsory
Module details
In this module, you will gain insights into key techniques within the field of artificial intelligence (AI). Aspects of AI you will cover include agents, environments and learning as well as techniques such as regression, classification, clustering, reinforcement learning, learning recommendation and decision support systems.
- Theory of ComputationCompulsory
Module details
The aim of this module is to provide you with the knowledge and understanding of fundamental concepts of computational theory and computational complexity. You will learn how to examine whether a given problem can be solved computationally. The module aims to introduce computation science, modelling complex dynamic systems and diagramming models.
- Numerical MethodsCompulsory
Module details
This module aims to introduce you to the numerical techniques required to solve different mathematical problems motivated by the engineering and the science sector.
- Statistical ModellingCompulsory
Module details
This module aims to develop understanding and proficiency in statistical modelling by introducing you to the normal theory linear model. It will provide you with the ability to formulate and apply these models in a range of practical settings, to carry out associated inference appreciating how this relates to the general likelihood inferential framework, and to perform appropriate model selection and model checking procedures.
- Applications of Artificial IntelligenceCompulsory
Module details
This module will provide you with a deep understanding of artificial intelligence (AI) concepts, tools, techniques and their applications in solving real-world problems. You will develop practical skills in designing, implementing and evaluating AI-based solutions, gaining insights into both theoretical foundations and practical applications relevant to AI and data science. The module will cover extensive examples of applied AI and relate the covered topics to other modules within the programme
- Ordinary and Partial Differential EquationsOptional20 credits
Module details
This module aims to study both the qualitative and quantitative aspects of ordinary and linear partial differential equations.
- Robotics and AIOptional20 credits
- Operational Research and OptimisationOptional20 credits
Module details
The module aims to introduce you to linear programming, the Simplex Method and the Transportation Algorithm. The module will enable you to solve linear programming problems as primal problems or using duality. The module includes an introductory theory for nonlinear programming problems by demonstrating the application of Lagrange Multiplier Theory as well as tackling optimisation problems.
- Natural Language ProcessingOptional20 credits
Level 6 3 modules
- Machine LearningCompulsory
Module details
Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience. This module familiarises you with some basic machine learning algorithms and techniques and their applications, as well as general questions related to analysing and handling large data sets. The emphasis will be on machine learning algorithms and applications, with some broad explanation of the underlying principles.
- Databases and AnalyticsCompulsory
Module details
There has been an explosion in data, much of which is not fully structured, but contains valuable information such as search trends, consumer behaviour and other patterns. This module aims to cover some of the developments in the broad range of "Big Data" problems. It will give you a good understanding of data structures, software development procedures and the range of analytical tool used to undertake a wide range of standard and custom analyses to provide data solutions to these issues.
- ProjectCompulsory
Module details
Under the guidance of an academic supervisor, you will investigate in depth a mathematical or statistical topic with has close links to computing. You will be able to choose a project that may require the solution to a specific problem, the creation of an artefact in a real-world environment or an investigation of innovative ideas and techniques related to an area within their field of study. You will compose a written report and provide an oral presentation on your work.
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
You'll usually begin with programming fundamentals in languages such as Python and Java, alongside the maths and systems knowledge that underpin computing: discrete mathematics, logic and computer architecture. In Year 2, you'll progress to algorithms, data structures, databases and software engineering, building practical skills in designing efficient solutions and working collaboratively on real systems. You'll also encounter artificial intelligence and machine learning techniques. In Year 3, you'll choose specialist options such as artificial intelligence, cybersecurity, data science, software engineering, systems and networks, or human-computer interaction, then undertake a substantial supervised individual project where you design, build and evaluate your own software application.
Who it's for
This course suits those with A-level qualifications or equivalent. Most accepted students held A-levels or equivalent qualifications. The typical UCAS tariff among accepted students fell between 80 and 95 points. You'll need to meet the university's specific entry requirements; check their admissions pages for current details.
Careers & job market
Across Computer Science courses nationally, 85% of graduates were in work or further study 15 months after graduating. Of working graduates, 75% were in highly skilled work or further study. National Graduate Outcomes data shows starting salaries (at 15 months) typically ranged from £25,000 to £35,000, rising to £29,750–£42,000 after five years.
University & format
The BSc (Hons) Data Science is delivered full-time over 3 years at the University of West London, located in Ealing and Brentford. Taught and assessed in English, the degree is a nationally recognised qualification from a UK degree-awarding body. The university received a Silver rating in the Office for Students' Teaching Excellence Framework 2023.
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.
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 | 77% |
| another higher-education qualification | 18% |
| No / unknown prior qualifications | 5% |
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 G303). 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
Provider fee page (England 2026/27 cap where not stated).
Check fees at West London →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 | £27,000 | £22,000 – £32,000 | 30 |
| 3 years after | £26,500 | £20,000 – £34,500 | 50 |
| 5 years after | £34,500 | £23,500 – £48,000 | 50 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 30; avoid reading small differences as meaningful. Cohort 2021-23.
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: 2021-23. Moderate evidence. Published sample: 30; avoid reading small differences as meaningful. Cohort 2021-23. 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.
- Science, engineering and technology associate professionalsSOC 2020 31 · 20% of published destinations · ASHE median £34,828
- Skilled trades occupationsSOC 2020 5 · 10% of published destinations · ASHE median £34,241
- Leisure, travel and related personal service occupationsSOC 2020 62 · 10% of published destinations · ASHE median £22,297
- Information Technology ProfessionalsSOC 2020 213 · 10% of published destinations · ASHE median £55,357
- Elementary occupationsSOC 2020 9 · 10% of published destinations · ASHE median £19,087
- Business, Research and Administrative ProfessionalsSOC 2020 243 · 10% of published destinations · ASHE median £48,746
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: 25; response rate: 50%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Is BSc (Hons) Data Science worth it?
Generally yes. On its graduates’ median earnings, BSc (Hons) Data Science is worth about +£75,630 more over the first ten years of work than going straight to a job, a solid return once you net out the fees.
Cumulative earnings vs. going straight to work at 18, counting tuition and 3 years of wages given up while studying. The line clears zero around year 14.7. This is a simplified gross-earnings comparison, not a forecast of cash loan repayments.
Model: this course’s own median graduate earnings (Graduate Outcomes / LEO) above the £24,000 non-graduate baseline (ONS), net of £9,790/yr over 3 years (published course home fee). Eligible England-domiciled students can apply for a Tuition Fee Loan; repayments are 9% only on income above the threshold, with anything left written off after 40 years. That makes the cash flow different from conventional commercial debt. Opportunity cost assumes £18,000 gross earnings forgone in each study year; figures are nominal and exclude tax, living costs, investment returns and loan interest. A simplified estimate. Earnings and actual fees vary by graduate, provider, fee status and UK nation.
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
Published home tuition is £9,790/year for this course. 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
80% were in work or further study 15 months after graduating, with a median salary of £27,000. 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 8.6 out of 10: NSS 89.1% · in work or study 80% · continued 88%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of West London
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 Ealing / Brentford
2,092 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 West London from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by West London; 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 West London’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 West London and gov.uk before you apply.
Related courses
More at West London
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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