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University of Leeds · Leeds

BSc Computer Science

UndergraduateComputing & ITPlacement year option

Covers the foundations of computing, software development and emerging areas such as AI. Optional work placement and study abroad routes are available, including a version with an industrial placement year.

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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 Lanka Advanced Level accepted; typical requirements AAA–BBB depending on course. International Foundation Year: average grade A at O/L with A in relevant subjects

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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

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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 Leeds

Leeds lists international scholarships in its scholarships directory, including International Foundation Year Excellence Scholarships, plus a 10% alumni tuition fee discount for former Leeds students; amounts vary by scheme and were not confirmed here.

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 Computer Science

Covers the foundations of computing, software development and emerging areas such as AI. Optional work placement and study abroad routes are available, including a version with an industrial placement year.

This 36-month undergraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. A placement or professional-experience option is recorded, which can help connect academic learning with workplace practice when available.

Course focus

What you can expect to explore

  • Machine learning and intelligent systems
  • Data, algorithms and model evaluation
  • Responsible AI and real-world implementation
  • Software design and maintainable development

Skills development

Capabilities you can build

  • Algorithmic problem-solving
  • Model development and testing
  • Programming with data
  • Responsible technology evaluation

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.
  • A placement or professional-experience route is recorded; its length, availability and eligibility should be confirmed for the selected intake.
Who is this course for?

A strong fit for students with a strong interest in computation who want to design, evaluate and apply intelligent systems responsibly. 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:

  • AI or machine-learning specialist
  • Data scientist
  • Intelligent-systems developer
  • AI solutions consultant

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.

28 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
    Introduction to programming (Python)Published course content
  2. 02
    Object-oriented programming and common librariesPublished course content
  3. 03
    Databases and SQLPublished course content
  4. 04
    Low-level programming in CPublished course content
  5. 05
    Foundations of computer architecturePublished course content
  6. 06
    Architecture design (building a 16-bit computer from logic gates)Published course content
  7. 07
    System programming (machine code and assembly)Published course content
  8. 08
    Modern processor architectures and hardware trendsPublished course content
  9. 09
    Discrete mathematicsPublished course content
  10. 10
    Graph theory and linear algebraPublished course content
  11. 11
    CalculusPublished course content
  12. 12
    AlgorithmsPublished course content
  13. 13
    Kotlin programmingPublished course content
  14. 14
    Web-based systems developmentPublished course content
  15. 15
    Human–computer interaction and user experiencePublished course content
  16. 16
    Collaborative software engineering projectsPublished course content
  17. 17
    Operating systemsPublished course content
  18. 18
    Security and practical cryptographyPublished course content
  19. 19
    Computer networksPublished course content
  20. 20
    Network and parallel programmingPublished course content
  21. 21
    Algorithm design paradigmsPublished course content
  22. 22
    Further calculus and probabilityPublished course content
  23. 23
    Formal languages and theory of computationPublished course content
  24. 24
    Algorithms and data structuresPublished course content
  25. 25
    Project workPublished course content
  26. 26
    Summer internshipsPublished course content
  27. 27
    Watch nowPublished course content
  28. 28
    One-year optional work placement or study abroadPublished 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
Typical A-level offer AAA (specific subject requirements)
Sri Lankan qualifications
Sri Lanka Advanced Level accepted; typical requirements AAA–BBB depending on course. International Foundation Year: average grade A at O/L with A in relevant subjects
English (IELTS)
6.0 overall, no less than 5.5 in each section
English alternatives
Minimum IELTS 6.0 (UG) / 6.5 (PG) overall, or GCSE English C/4 or equivalent

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 University of Leeds.
  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 courses.leeds.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 Leeds before you apply. Global Educational Consultants is an independent consultancy.