Your qualification fit
Bachelor's degree from Sri Lanka with 55% overall or GPA 3.0 for most masters; 60% or GPA 3.3 for MA Law
Check my qualifications →The University of Law · London
MSc Computing and Artificial Intelligence
Combines computing fundamentals with applied artificial intelligence, aimed at solving data-driven problems. Suits graduates wanting to move into AI-related technology roles.
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IELTS or an alternative
6.0 overall, 5.5 in each component for business masters and LLM; 6.5/6.0 for PGDL and MA Law
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Scholarship information
Potential funding at University of Law
Eligible international students on campus courses receive an automatic International Bursary as an annual fee reduction, varying by course (e.g. £1,500 for computing masters, £3,000 for business MScs and £4,000 for the London MBA); merit-based international scholarships 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 MSc Computing and Artificial Intelligence
Combines computing fundamentals with applied artificial intelligence, aimed at solving data-driven problems. Suits graduates wanting to move into AI-related technology roles.
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
- Programming and computational problem-solving
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
- Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
- 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.
- 01Software Development15 credits
- 02Foundations of Statistics and Data Inference15 credits
- 03Data Mining, Visualisation, and Actionable Intelligence15 credits
- 04Web Technologies30 credits
- 05Data Management Technologies30 credits
- 06Applications of Artificial Intelligence15 credits
- 07Programming and AI Orchestration15 credits
- 08Distributed Processing and Data Engineering15 credits
- 09MSc Project in Computer Science60 credits
Entry requirements
Can I apply?
- Academic
- 2:2 honours degree or equivalent
- Sri Lankan qualifications
- Bachelor's degree from Sri Lanka with 55% overall or GPA 3.0 for most masters; 60% or GPA 3.3 for MA Law
- English (IELTS)
- 6.0 overall, 5.5 in each component for business masters and LLM; 6.5/6.0 for PGDL and MA Law
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Course information checked October 2026 from the official course page on law.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 Law before you apply. Global Educational Consultants is an independent consultancy.