For graduates who already have a computing background and want to go deeper into advanced topics such as AI, data and modern software systems. Builds on an existing computer science degree.
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Check your fitMatch your level, budget, intake and preferences.
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
Bachelor special or professional degree from a state university: 60% for 2:1 courses, 55% for 2:2 courses; first-class general degree (70%) considered at discretion; OnCampus Master's Foundation if criteria not met
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Scholarship information
Potential funding at Birkbeck, University of London
Birkbeck International Excellence Scholarships of £1,000–£5,000 for autumn 2026 starters and £3,000 for January 2027 postgraduate starters; a Global Future Scholarship reduces first-year full-time master's fees to the Home rate.
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 Advanced Computing
For graduates who already have a computing background and want to go deeper into advanced topics such as AI, data and modern software systems. Builds on an existing computer science degree.
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
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.
15 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.
01
Advanced Cloud ComputingPublished course content
02
Advances in Data ManagementPublished course content
03
Applied Machine LearningPublished course content
04
Big Data AnalyticsPublished course content
05
Data Analytics Using RPublished course content
06
Data Science Techniques and ApplicationsPublished course content
07
Information and Network SecurityPublished course content
08
Intellectual Property and Artificial IntelligencePublished course content
09
Internet and Web TechnologiesPublished course content
10
Managing Emerging Digital TechnologiesPublished course content
11
Natural Language ProcessingPublished course content
12
Neural Networks and Deep LearningPublished course content
13
Software Design and ProgrammingPublished course content
14
The Ethics of Technology and Artificial Intelligence (Level 7)Published course content
2:2 honours degree (or MSc) in computer science with substantial programming content; joint honours computing graduates may be eligible
Sri Lankan qualifications
Bachelor special or professional degree from a state university: 60% for 2:1 courses, 55% for 2:2 courses; first-class general degree (70%) considered at discretion; OnCampus Master's Foundation if criteria not met
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More Computing & IT courses at Birkbeck, University of London
Course information checked October 2026 from the official course page on bbk.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 Birkbeck, University of London before you apply. Global Educational Consultants is an independent consultancy.
MSc Advanced Computing at Birkbeck, University of London | Fees & Entry | GEC