MSci Mathematics and Computer Science
About this course
Master in Science in Mathematics and Computer Science, a mathematics and computer science degree bridging formal mathematical theory with computational systems. Core topics include Programming, Computer Architecture, Data Analysis, Statistics, Mathematical Modelling, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. The programme spans four years and culminates in advanced project work across both disciplines. The first year covers foundational concepts through Computer Systems and Professional Practice, Data Structure & Algorithms, Mathematical Foundations, Calculus and Linear Algebra, Object Oriented Programming (Mathematics), and Probability, Data and Statistics. The second year introduces Artificial Intelligence, Functional Programming, Software Engineering, Applied Linear Algebra and Optimisation, Differential Equations and Mechanics, Graphs and Algorithms, Groups, Rings and Fields, Mathematical Modelling with Differential Equations, Multivariable and Vector Calculus, Real Analysis, and Statistics. The third year offers advanced study in subjects such as Computer Science Project, Mathematical Project, Combinatorics and Computation, Continuum Mechanics, Galois Theory and Coding Theory, Game Theory, Graph Theory and Applications, Mathematics in Biology and Medicine, Mathematics of Financial Derivatives, Medical Statistics, Metric Spaces and Geometry, Number Theory and Cryptography, Numerical Analysis, Optimisation, Real and Complex Analysis, Statistical Machine Learning, Statistical Modelling, Advanced Cryptography, Advanced Networking, Algorithms and Complexity, Computer Vision and Imaging, Human-Computer Interaction, Intelligent Data Analysis, Intelligent Software Engineering, Machine Learning, Mobile & Ubiquitous Computing, Neural Networks and Deep Learning, and Teaching Computer Science in Schools. The final year involves independent research projects alongside specialised topics including Project in Mathematical Science, Project in Computer Science, Advanced Management Mathematics, Bayesian Inference and Computation, Advanced Mathematical Biology, Advanced Mathematical Finance, Advanced Topics in Mathematics, Applied Mathematical Analysis, Computational Statistics, Nonlinear Waves, Stochastic Processes, Topics in Applied Mathematics, Advanced Cryptography (Extended), Advanced Networking (Extended), Algorithms and Complexity (Extended), Computer Vision and Imaging (Extended), Game Theory (Extended), Human-Computer Interaction (Extended), Intelligent Software Engineering (Extended), Mobile & Ubiquitous Computing (Extended), Neural Networks and Deep Learning (Extended), and Teaching Computer Science in Schools (Extended).
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*AA to include A-level grade A in Mathematics or Further Mathematics.. IB: 7,6,6 at Higher Level, including a 6 in Mathematics, with a minimum of 32 points overall.. BTEC: only considered when combined with other qualifications.
Real offers for this course
Applicants have posted 1 UCAS decision for MSci Mathematics and Computer Science (GI11) at the University of Birmingham for 2027 entry so far. The published offer is A*AA at A level.
What students say
Based on about 22 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 99%
- Learning opportunities: 94%
- Assessment and feedback: 94%
- Academic support: 94%
- Organisation and management: 94%
- Learning resources: 92%
- Student voice: 96%
Do students stay on the course?
Based on about 35 students who started
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 5 graduates who answered (a small group: a rough guide only)
- Working: 85%
- Further study: 10%
Most common jobs
- Information Technology Professionals: 40%
- Customer service occupations: 10%
- Process, plant and machine operatives: 10%
- Engineering professionals: 10%
- Business, Research and Administrative Professionals: 10%
- Find their work meaningful: 77%
- Feel on track for their future plans: 81%
- Use what they learnt on the course: 64%
Where graduates work (5 years on)
Based on about 130 graduates, across similar courses at this university
- North East: 1%
- North West: 2%
- East Midlands: 6%
- West Midlands: 32%
- East of England: 8%
- London: 26%
- South East: 19%
- South West: 5%
- Wales: 1%
Who gets in
Based on about 85 students who started
- A levels: 98%
- A degree: 1%
- No formal qualifications: 1%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Bronze for student experience, Gold for student outcomes.
Modules
- Computer Systems and Professional Practice
- Data Structure & Algorithms
- Mathematical Foundations, Calculus and Linear Algebra
- Object Oriented Programming (Mathematics)
- Probability, Data and Statistics
- Artificial Intelligence
- Functional Programming
- Software Engineering
- Applied Linear Algebra and Optimisation
- Differential Equations and Mechanics
- Graphs and Algorithms
- Groups, Rings and Fields
- Mathematical Modelling with Differential Equations
- Multivariable and Vector Calculus
- Real Analysis
- Statistics
- Computer Science Project
- Mathematical Project
- Combinatorics and Computation
- Continuum Mechanics
- Galois Theory and Coding Theory
- Game Theory
- Graph Theory and Applications
- Mathematics in Biology and Medicine
- Mathematics of Financial Derivatives
- Medical Statistics
- Metric Spaces and Geometry
- Number Theory and Cryptography
- Numerical Analysis
- Optimisation
- Real and Complex Analysis
- Statistical Machine Learning
- Statistical Modelling
- Advanced Cryptography
- Advanced Networking
- Algorithms and Complexity
- Computer Vision and Imaging
- Human-Computer Interaction
- Intelligent Data Analysis
- Intelligent Software Engineering
- Machine Learning
- Mobile & Ubiquitous Computing
- Neural Networks and Deep Learning
- Teaching Computer Science in Schools
- Project in Mathematical Science
- Project in Computer Science
- Advanced Management Mathematics
- Bayesian Inference and Computation
- Advanced Mathematical Biology
- Advanced Mathematical Finance
- Advanced Topics in Mathematics
- Applied Mathematical Analysis
- Computational Statistics
- Nonlinear Waves
- Stochastic Processes
- Topics in Applied Mathematics
- Advanced Cryptography (Extended)
- Advanced Networking (Extended)
- Algorithms and Complexity (Extended)
- Computer Vision and Imaging (Extended)
- Game Theory (Extended)
- Human-Computer Interaction (Extended)
- Intelligent Data Analysis
- Intelligent Software Engineering (Extended)
- Machine Learning
- Mobile & Ubiquitous Computing (Extended)
- Neural Networks and Deep Learning (Extended)
- Teaching Computer Science in Schools (Extended)
Questions about this course
How much do graduates of MSci Mathematics and Computer Science at University of Birmingham earn?
The median salary is £34,500 after 15 months, £40,000 after 3 years, £60,000 after 5 years. After five years the middle half of graduates earn between £40,000 and £74,500. The £60,000 median after five years is £20,500 more than the UK median for Mathematics.
What do graduates of MSci Mathematics and Computer Science at University of Birmingham do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MSci Mathematics and Computer Science at University of Birmingham?
99% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MSci Mathematics and Computer Science at University of Birmingham?
The typical offer is A*AA at A level, or 32 points in the IB. The average entrant had 152 UCAS points.
How many students continue on MSci Mathematics and Computer Science at University of Birmingham?
95% of students continued into their second year, and 5% left higher education.