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University of Reading · Reading

BSc Computer Science

UndergraduateComputing & ITPlacement year option

A three-year degree building computing and data science knowledge for a wide range of technology careers. A version with an industrial year is also offered.

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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 GCE A-Levels or London A-Levels considered for direct entry; lower A-Level scores can enter the International Foundation Programme

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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 Reading

Master's Excellence Scholarships of £4,000–£10,000 off tuition for 2027/28 international masters students (automatic, merit-based); Global Sustainability Leaders Scholarship of £6,000 a year towards living costs for undergraduates; £5,000 International Foundation Excellence Scholarship.

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

A three-year degree building computing and data science knowledge for a wide range of technology careers. A version with an industrial year is also offered.

This 36-month undergraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. 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

  • Data preparation, exploration and visualisation
  • Statistical modelling and machine-learning methods
  • Turning complex evidence into useful decisions
  • Programming and computational problem-solving

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.
  • 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 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.

25 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
    Computer Systems ArchitecturePublished course content
  2. 02
    DatabasesPublished course content
  3. 03
    Mathematics and ComputationPublished course content
  4. 04
    Imperative ProgrammingPublished course content
  5. 05
    Object-Oriented ProgrammingPublished course content
  6. 06
    Applications of Computer SciencePublished course content
  7. 07
    Data Structures and AlgorithmsPublished course content
  8. 08
    Operating Systems and Computer NetworkingPublished course content
  9. 09
    Artificial IntelligencePublished course content
  10. 10
    Programming in PythonPublished course content
  11. 11
    Software Systems DesignPublished course content
  12. 12
    Software Engineering and Professional DevelopmentPublished course content
  13. 13
    Degree ProjectPublished course content
  14. 14
    Virtual Reality, Games and GraphicsPublished course content
  15. 15
    Data Integration and Information VisualisationPublished course content
  16. 16
    Machine LearningPublished course content
  17. 17
    Image Analysis and Visual IntelligencePublished course content
  18. 18
    Blockchain and SecurityPublished course content
  19. 19
    Text Mining and Natural Language ProcessingPublished course content
  20. 20
    Cloud-based AI SolutionsPublished course content
  21. 21
    Fees for International Students pagePublished course content
  22. 22
    Tuition feesPublished course content
  23. 23
    Financial support for your studiesPublished course content
  24. 24
    Become a Global Sustainability Leaders ScholarPublished course content
  25. 25
    Global Sustainability Leaders Scholarship schemePublished 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
A-level ABB
Sri Lankan qualifications
Sri Lankan GCE A-Levels or London A-Levels considered for direct entry; lower A-Level scores can enter the International Foundation Programme
English (IELTS)
6.5 overall, no component below 5.5

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 Reading.
  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.

Similar courses at other universities

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Course information checked October 2026 from the official course page on reading.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 Reading before you apply. Global Educational Consultants is an independent consultancy.