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University of Aberdeen · Aberdeen

BSc Data Science

UndergraduateData Science & AI

Studies big data, predictive analytics and AI methods, combining statistics and programming. Aimed at students who want data-focused careers across many sectors.

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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: BCC for business, arts and social sciences (B where good performance in a subject is required); science needs two science subjects (or science and maths); engineering needs B in maths plus physics, D&T, engineering or chemistry; Medicine AAA. ABB+ (AAB for Biomedical Science, AAB with A in maths and physics for engineering) may allow direct entry to Year 2.

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02English evidence

IELTS or an alternative

6.0 overall, writing 6.0, listening/reading/speaking 5.5

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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 University of Aberdeen

The Aberdeen Global Scholarship gives new self-funded international on-campus students £6,000 off tuition every year of an undergraduate degree (2026/27 and 2027/28 entry) or an £8,000 tuition waiver for a taught master's; it is applied automatically to eligible students.

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 Data Science

Studies big data, predictive analytics and AI methods, combining statistics and programming. Aimed at students who want data-focused careers across many sectors.

This 48-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
  • Machine learning and intelligent systems

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.

22 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
    Getting Started at the University of AberdeenModule PD1002
  2. 02
    Programming 1Module CS1032
  3. 03
    Calculus 1Module MA1005
  4. 04
    AlgebraModule MA1006
  5. 05
    Object - Oriented ProgrammingModule CS1527
  6. 06
    Calculus IIModule MA1508
  7. 07
    Understanding DataModule ST1506
  8. 08
    Databases and Data ManagementModule CS2019
  9. 09
    Software ProgrammingModule CS2020
  10. 10
    ProbabilityModule MA2010
  11. 11
    Algorithms and Data StructuresModule CS2522
  12. 12
    Human - Computer InteractionModule CS2506
  13. 13
    Dynamical PhenomenaModule PX2015
  14. 14
    Principles of Software EngineeringModule CS3028
  15. 15
    Artificial IntelligenceModule CS3033
  16. 16
    Software Engineering and Professional PracticeModule CS3528
  17. 17
    Enterprise Computing and BusinessModule CS3525
  18. 18
    Distributed Systems and SecurityModule CS3524
  19. 19
    Differential EquationsModule MX3536
  20. 20
    Research MethodsModule CS4040
  21. 21
    Nonlinear Dynamics & Chaos Theory iModule MX4085
  22. 22
    Modelling TheoryModule PX4514

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
A-level standard offer BBC with Mathematics or two sciences; Sri Lankan A-levels: BCC with two science subjects (or one science and maths)
Sri Lankan qualifications
Sri Lankan A-levels: BCC for business, arts and social sciences (B where good performance in a subject is required); science needs two science subjects (or science and maths); engineering needs B in maths plus physics, D&T, engineering or chemistry; Medicine AAA. ABB+ (AAB for Biomedical Science, AAB with A in maths and physics for engineering) may allow direct entry to Year 2.
English (IELTS)
6.0 overall, writing 6.0, listening/reading/speaking 5.5

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How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to University of Aberdeen.
  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.

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Course information checked October 2026 from the official course page on abdn.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 University of Aberdeen before you apply. Global Educational Consultants is an independent consultancy.