BSc (Hons) Data Science Bachelor's degree at The London School of Economics and Political Science
BSc (Hons) Data Science at LSEPS. BSc Data Science at LSE is run through the Department of Statistics, and that departmental home shapes the whole course: rather than treating data science as a generic computing subject, it approaches the field through the lens of…
About this course
BSc Data Science - LSE Skip to main content Undergraduate UCAS code: N3UD Department of Statistics BSc Data Science Discover how data science can help us solve real-world problems. From the provider’s course page.
BSc (Hons) Data Science is a Bachelor's degree (BSc (Hons)) at LSEPS, based in Houghton Street, London. It runs 3 years, studied full-time.
For Statistics graduates from this provider, 100% were in work or further study 15 months after graduating, 90% in highly skilled roles, typical earnings around £38,000. (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)
Limited evidence Published sample: 15; treat comparisons cautiously. Cohort 2021-23. Graduate Outcomes work or further study 100% (2021-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 90% (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.
Year 1 5 modules
- Elementary Statistical TheoryCompulsory
- Mathematical MethodsCompulsory
- Programming for Data ScienceCompulsory
- Managing Visualising DataCompulsory
- The LSE CourseCompulsory
Year 2 8 modules
- Probability and Distribution TheoryCore
- Applied RegressionCore
- DatabasesCore
- Algorithms and Data StructuresCore
- Further Mathematical Methods (Linear Algebra)Core
- Mathematical Proof and AnalysisCore
- Real AnalysisOptional
- Further Mathematical Methods (Calculus)Optional
Year 3 3 modules
- Machine LearningCore
- Artificial IntelligenceCore
- Applied Statistics ProjectCore
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
The course builds a foundation in statistics, programming and mathematical reasoning, then develops these into the more specialised techniques used in modern data science. As you progress, you'll encounter areas such as Data Science, AI & Machine Learning, Cloud & DevOps, Cyber Security, Web & Mobile development, Software Engineering, HCI and Games, giving you exposure to how data-driven methods intersect with the broader computing landscape, even though your core focus stays on statistics and data analysis. The emphasis throughout is on understanding how to work with real data: cleaning it, modelling it, interpreting it, and using it to answer questions that don't come with tidy textbook answers. Because the course sits within a research-intensive, Russell Group university, teaching is informed by current academic work in statistics and quantitative methods, and you're expected to engage critically with methods rather than just apply them by rote.
Who it's for
This course suits someone who's comfortable with numbers and logical thinking, and who's curious about what lies underneath the headlines about "big data" and algorithms shaping decisions in the real world. If you enjoy mathematics but want to see it put to practical use, rather than staying purely theoretical, this is likely to appeal. You should be prepared for a demanding, quantitative style of study: much of your time will go into working through statistical concepts, coding exercises and problem sets, so a genuine interest in working things out methodically will serve you well. It also suits students who like the idea of studying in a bustling central London environment, surrounded by peers from a wide range of backgrounds, and who don't mind the intensity that comes with a research-focused institution. You don't need to arrive as an expert programmer, but a willingness to get stuck into technical material, ask questions when something doesn't click, and keep going through the harder stretches of a maths-heavy degree will matter more than natural talent alone. Most students who take this route come in having studied for A-levels or equivalent qualifications, though what matters most is your readiness to think analytically and stick with a subject that rewards patience and precision.
Careers & job market
Graduates from Computer Science courses nationally report strong continuation into work or further study: 85% are in work or further study 15 months after graduating, and of those in work, 75% are in roles classed as highly skilled. These are national Graduate Outcomes figures across the field rather than numbers specific to this course, but they give a sense of the landscape data science graduates move into. National earnings data (again, not course-specific) shows graduates in this field starting on salaries between roughly £25,000 and £35,000 fifteen months after graduating, with figures of £23,375–£33,000 after three years and £29,750–£42,000 after five years, reflecting a range rather than a promise, since individual outcomes vary considerably by role, sector and location. Skills built around statistical modelling, programming and data interpretation are relevant across sectors including finance, technology, consultancy, government and research, wherever organisations need to make sense of large or complex datasets.
University & format
The London School of Economics and Political Science is a public, Russell Group university based at Houghton Street in London, founded in 1895 and home to 9,218 students. It holds a Silver rating in the Office for Students' TEF 2023 for teaching quality, and as a recognised UK degree-awarding body, its degrees carry full national recognition. The BSc Data Science is delivered full-time over three years, entirely in English. Around 85% of accepted students on courses of this kind arrive with A-levels or equivalent, and the most common UCAS tariff band among entrants is 192–207 points, reflecting the profile of typical entrants rather than a fixed requirement. Around 85% of students continue past their first year, either still enrolled or having completed their studies.
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.
The provider publishes contextual-offer information. Eligibility and any reduced offer are applicant-specific.
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% |
| a Baccalaureate | 10% |
| No / unknown prior qualifications | 5% |
| Other | 5% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.
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 N3UD). 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 LSEPS →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 | £38,000 | £34,000 – £43,000 | 15 |
| 3 years after | £41,500 | £35,000 – £50,500 | 35 |
| 5 years after | £57,000 | £45,000 – £75,500 | 40 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 15; treat comparisons cautiously. 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. Limited evidence. Published sample: 15; treat comparisons cautiously. 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.
- Business, Research and Administrative ProfessionalsSOC 2020 243 · 45% of published destinations · ASHE median £48,746
- Finance ProfessionalsSOC 2020 242 · 20% of published destinations · ASHE median £47,173
- Business and public service associate professionalsSOC 2020 35 · 10% of published destinations · ASHE median £38,760
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: 35; response rate: 60%. 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
100% were in work or further study 15 months after graduating, with a median salary of £38,000. 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 9.0 out of 10: NSS 81.3% · in work or study 100% · continued 90%.
Who studies here and in this subject?
Provider- and UK subject-level context.
London School of Economics and Political Science
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 Houghton Street, London
12,698 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 LSEPS from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £32,100 / year for this course (from the provider’s fee page). 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 LSEPS’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 LSEPS and gov.uk before you apply.
Related courses
More at LSEPS
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
Request information about BSc (Hons) Data Science
Prospectus, key dates, entry and funding, free to your inbox.