MEng Computer Science
About this course
MEng in Computer Science, a computer science degree exploring algorithms, computational theory, and systems development. Core topics include Programming, Statistics, Mathematical Modelling, Research Methods, Engineering Design, and Artificial Intelligence & Machine Learning. This four-year integrated degree includes options for a year in industry and study abroad. The first year covers foundations through Introductory Computer Science Mathematics, Algorithms and Theory of Computation, Programming and Software Development, and Programming Language Concepts. The second year builds competence with Computer Science Mathematics and Theory 1, Intelligent Data Systems, Computing Systems, and the Software Engineering Team Project alongside optional subjects such as Intelligent Systems and Connected Systems. The third year advances into complex material through Computation and Complexity, Research Methods, Group Research Project, and Emerging Technologies, alongside optional modules including Functional Programming, Computer Graphics, and Security. The final fourth year is dedicated to the Computer Science MEng Project / Dissertation and advanced optional specialisations such as Supervised Learning, Reinforcement Learning, and Statistical Natural Language Processing.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*A*A (A* in either Mathematics or Further Mathematics required.) IB: 40 points (A total of 20 points in three higher level subjects including Grade 7 in Mathematics. The course will accept either ‘Mathematics: Analysis and Approaches’ or ‘Mathematics: Applications and Interpretation’ at higher level. ‘Mathematics: Analysis and Approaches’ is preferred.)
What students say
Based on about 29 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 86%
- Learning opportunities: 79%
- Assessment and feedback: 72%
- Academic support: 85%
- Organisation and management: 83%
- Learning resources: 89%
- Student voice: 80%
Do students stay on the course?
Based on about 75 students who started
- Continued on course: 90%
- Left higher education: 10%
What graduates do next
Based on about 9 graduates who answered (a small group: a rough guide only)
- Working: 80%
- Working and studying: 5%
- Further study: 5%
Most common jobs
- Information Technology Professionals: 100%
- Find their work meaningful: 85%
- Feel on track for their future plans: 90%
- Use what they learnt on the course: 80%
Where graduates work (5 years on)
Based on about 75 graduates, across similar courses at this university
- North West: 1%
- East Midlands: 3%
- West Midlands: 1%
- East of England: 7%
- London: 64%
- South East: 16%
- South West: 5%
- Scotland: 1%
Who gets in
Based on about 90 students who started
- A levels: 72%
- Baccalaureate: 21%
- A degree: 4%
- Other HE qualification: 1%
- Other qualifications: 1%
- No formal qualifications: 1%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.
Modules
- Introductory Computer Science Mathematics
- Algorithms and Theory of Computation
- Programming and Software Development
- Programming Language Concepts
- Computer Science Mathematics and Theory 1
- Intelligent Data Systems
- Computing Systems
- Software Engineering Team Project
- Manufacturing Regenerative Medicines: from Lab Bench to Industry
- Engineering Mathematics in Finance
- Tech Journalism: Writing, Researching, and Reporting News in Technology, Science, and Engineering
- Introduction to Environmental Engineering
- Inorganic Chemistry for Engineers
- Intelligent Systems
- Connected Systems
- Introduction to Nanotechnology
- Introduction to Robotics
- Engineering Design for Society
- Computation and Complexity
- Research Methods
- Group Research Project
- Emerging Technologies
- Compilers
- Functional Programming
- Interaction Design
- Artificial Intelligence and Neural Computing
- Introduction to Cryptography
- Image Processing
- Computer Graphics
- Security
- Machine Learning for Domain Specialists
- Quantum Computation
- Advanced Tech Journalism: Analysis and Commentary in Technology, Science, and Engineering
- Advanced Materials, Devices and Manufacturing Processes for Regenerative Medicine
- Design and Manufacture of Regenerative Medicine Drug Products
- Stochastic Calculus and Uncertainty Analysis
- Data Mining and Analysis
- Water and Wastewater Treatment
- Offshore and Coastal Engineering
- Waste Management and Circular Economy
- Organic Chemistry for Engineers
- From Molecules to Molecular Engineering
- Computer Science MEng Project / Dissertation
- Supervised Learning
- Graphical Models
- Applied Machine Learning
- Bioinformatics
- Advanced Topics in Machine Learning
- Information Retrieval and Data Mining
- Statistical Natural Language Processing
- Reinforcement Learning
- Introduction to Deep Learning
- Multi-agent Artificial Intelligence
Questions about this course
How much do graduates of MEng Computer Science at University College London earn?
The median salary is £72,000 after 15 months, £51,000 after 3 years, £71,000 after 5 years. After five years the middle half of graduates earn between £49,500 and £96,500. The £71,000 median after five years is £35,000 more than the UK median for Computer science.
What do graduates of MEng Computer Science at University College London do next?
95% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MEng Computer Science at University College London?
86% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MEng Computer Science at University College London?
The typical offer is A*A*A at A level, or 40 points in the IB. The average entrant had 196 UCAS points.
How many students continue on MEng Computer Science at University College London?
90% of students continued into their second year, and 10% left higher education.