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INTAKESJanuary, May & September 2027 UK coursesSUBJECTData Science & Artificial IntelligenceFUNDINGSearch scholarships & tuition discountsSUBJECTBusiness, Management & MBA pathwaysSRI LANKACheck A/L, diploma & degree entry routesSUBJECTCyber Security & Computing coursesBUDGETPlan tuition, visa, IHS & living costsSUBJECTNursing, Public Health & Biomedical ScienceENGLISHExplore IELTS alternativesSUBJECTProject Management & Supply Chain
London Metropolitan University · London

BSc (Hons) Data Science

UndergraduateData Science & AI

Combines programming, statistics and data analysis to draw insight from data. Suits students interested in analytics and data-driven careers.

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Plan the full costTuition pre-filled, with GBP and indicative LKR totals.

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Funding informationThis university has scholarship information recorded.

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Sri Lankan student planning

Four checks before you shortlist this course.

Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.

01Academic route

Your qualification fit

Sri Lankan A Levels: minimum 3 Credits (55%); foundation year degrees available for students slightly below the standard requirement

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02English evidence

IELTS or an alternative

6.0 overall, 5.5 in each component (standard requirement)

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03Funding

Scholarship possibilities

Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.

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04Full financial plan

Beyond the tuition fee

Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.

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Free preliminary check

Could this course fit your profile?

Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.

This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.

Scholarship information

Potential funding at London Metropolitan University

International Bright Futures Scholarship: £5,000 tuition fee reduction applied automatically to eligible international fee-paying students; a 5% early payment discount and a 20% alumni discount on postgraduate study are also offered.

Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.

Programme overview

A clearer look at BSc (Hons) Data Science

Combines programming, statistics and data analysis to draw insight from data. Suits students interested in analytics and data-driven careers.

This 36-month undergraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.

Course focus

What you can expect to explore

  • Data preparation, exploration and visualisation
  • Statistical modelling and machine-learning methods
  • Turning complex evidence into useful decisions
  • Prepare, analyse and communicate insights from data.

Skills development

Capabilities you can build

  • Python or analytical programming
  • Statistical reasoning
  • Data visualisation
  • Model evaluation and communication

The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.

Learning experience

How you may learn

  • Applied work such as case studies, workshops, projects or problem-based tasks.
  • Independent study and progressively more complex assignments or projects.
  • Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?

A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.

Career direction

Where it may lead

Relevant career directions may include:

  • Data scientist
  • Data analyst
  • Business intelligence analyst
  • Machine-learning or analytics specialist

These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.

Course contents

Published course content for this programme.

21 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.

  1. 01
    Data AnalysisPublished course content
  2. 02
    Financial MathematicsPublished course content
  3. 03
    Fundamentals of ComputingPublished course content
  4. 04
    Introduction to Information SystemsPublished course content
  5. 05
    Logic and Mathematical TechniquesPublished course content
  6. 06
    ProgrammingPublished course content
  7. 07
    Data AnalyticsPublished course content
  8. 08
    Data EngineeringPublished course content
  9. 09
    DatabasesPublished course content
  10. 10
    Professional and Ethical IssuesPublished course content
  11. 11
    Programming with DataPublished course content
  12. 12
    Smart Data DiscoveryPublished course content
  13. 13
    Statistical Methods and Modelling MarketsPublished course content
  14. 14
    Artificial Intelligence and Machine LearningPublished course content
  15. 15
    Career Development LearningPublished course content
  16. 16
    Data and Web DevelopmentPublished course content
  17. 17
    ProjectPublished course content
  18. 18
    Artificial Intelligence and Big Data in BusinessPublished course content
  19. 19
    Big Data and VisualisationPublished course content
  20. 20
    Cryptography and Number TheoryPublished course content
  21. 21
    Project Analysis and PracticePublished course content

Source checked 19 October 2026. Titles are shown as concise factual course information; the university remains the authoritative source.

View official course contents

Entry requirements

Can I apply?

Academic
Grade C in three A levels or 96 UCAS points from an equivalent Level 3 qualification
Sri Lankan qualifications
Sri Lankan A Levels: minimum 3 Credits (55%); foundation year degrees available for students slightly below the standard requirement
English (IELTS)
6.0 overall, 5.5 in each component (standard requirement)
English alternatives
Sri Lankan A Level English Language minimum grade A accepted (for courses requiring IELTS 6.0+); SELT normally required otherwise. Maths (where needed): GCE O-level Mathematics grade C / 50%+

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to London Metropolitan University.
  3. We help you meet any offer conditions and get your CAS.
  4. We guide your Student visa application.

Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.

More Data Science & AI courses at London Metropolitan University

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Course information checked October 2026 from the official course page on londonmet.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with London Metropolitan University before you apply. Global Educational Consultants is an independent consultancy.