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University of Lincoln · Lincoln

MSc Computer Science

Master'sComputing & IT

An advanced computing masters covering areas such as artificial intelligence, machine learning, cloud computing and software engineering. Suited to graduates who already have a computing-related first degree and want to deepen technical skills.

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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

4-year Bachelor's degree with GPA 3.3/4.0 for UK 2:1 equivalence or 3.0/4.0 for 2:2 equivalence

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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 Lincoln

International scholarships for undergraduate and postgraduate taught students range from £1,000–£2,000 up to 50% of tuition fees (the Sri Lanka and fees pages state slightly different minimums); an International Alumni Scholarship reduces some PG fees (e.g. lab-based MSc from £18,800 to £16,800).

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 MSc Computer Science

An advanced computing masters covering areas such as artificial intelligence, machine learning, cloud computing and software engineering. Suited to graduates who already have a computing-related first degree and want to deepen technical skills.

This 12-month postgraduate route concentrates on machine learning and intelligent systems, data, algorithms and model evaluation, responsible ai and real-world implementation. 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

  • 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 postgraduate study, critical reading and a dissertation or major project where required.
  • 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 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.

9 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
    Advanced Artificial Intelligence (Core)Published course content
  2. 02
    Advanced Machine Learning (Core)Published course content
  3. 03
    Computer Vision (Core)Published course content
  4. 04
    Frontiers of Computer Science Research (Core)Published course content
  5. 05
    Information Systems Security (Core)Published course content
  6. 06
    Programming Principles (Core)Published course content
  7. 07
    Research Methods (MSc Computer Science) (Core)Published course content
  8. 08
    Research Project (Core)Published course content
  9. 09
    Software Engineering (Core)Published 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
First or second class honours degree in Computer Science, Computing, Software Engineering, AI, Data Science or a closely related subject
Sri Lankan qualifications
4-year Bachelor's degree with GPA 3.3/4.0 for UK 2:1 equivalence or 3.0/4.0 for 2:2 equivalence
English (IELTS)
6.0 overall, minimum 5.5 in each element

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 Lincoln.
  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 lincoln.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 Lincoln before you apply. Global Educational Consultants is an independent consultancy.