BSc Computer Science and Mathematics
About this course
BSc in Mathematics and Computer Science, integrating computational techniques with mathematical theory. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students complete a first-year team project and have the option to undertake a professional industry placement year.
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 including A* in Mathematics, and a minimum of one science subject from the following list: Computer Science, Further Mathematics, Biology, Chemistry, or Physics
Real offers for this course
Applicants have posted 3 UCAS decisions for BSc Computer Science and Mathematics (GG14) at the University of Manchester for 2027 entry so far: 3 offers. The published offer is A*AA at A level.
What students say
Based on about 19 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 83%
- Learning opportunities: 80%
- Assessment and feedback: 71%
- Academic support: 92%
- Organisation and management: 81%
- Learning resources: 94%
- Student voice: 73%
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 6 graduates who answered (a small group: a rough guide only)
- Working: 75%
- Working and studying: 20%
Most common jobs
- Information Technology Professionals: 55%
- Elementary occupations: 5%
- Web and Multimedia Design Professionals: 5%
- Business, Research and Administrative Professionals: 5%
- Find their work meaningful: 40%
- Feel on track for their future plans: 65%
- Use what they learnt on the course: 65%
Where graduates work (5 years on)
Based on about 100 graduates, across similar courses at this university
- North West: 57%
- Yorkshire and the Humber: 4%
- East Midlands: 2%
- West Midlands: 4%
- East of England: 4%
- London: 24%
- South East: 5%
- South West: 1%
- Northern Ireland: 1%
Who gets in
Based on about 50 students who started
- A levels: 80%
- Baccalaureate: 10%
- Foundation course: 15%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Gold for student outcomes.
Modules
- First Year Team Project
- Introduction to Programming 1
- Introduction to Programming 2
- Careers workshop, Year 1 Computer Science
- Linear Algebra
- Mathematical Foundations & Analysis
- Probability I
- Fundamentals of Computation
- Data Science
- Operating Systems
- Introduction to Ordinary Differential Equations
- Statistics I
- Managing My Future – Y2 Computer Science
- COMP - Careers Yr 2
- Groups and Geometry
- Logic and Modelling
- Database Systems
- Software Engineering 1
- Software Engineering 2
- Introduction to AI
- Machine Learning
- Knowledge Based AI
- Programming Languages & Paradigms
- Algorithms and Data Structures
- Introduction to Visual Computing
- Distributed Systems
- Principles of Mathematical Modelling
- Introduction to Financial Mathematics
- Metric Spaces
- Rings & Fields
- Numerical Analysis 1
- Fluid Mechanics
- Partial Differential Equations & Vector Calculus
- Linear Regression Models
- Stochastic Processes
- Probability and Statistics 2
- Third Year Project Laboratory
- Giving Meaning to Programs
- Agile Software Pipelines
- User Experience
- AI and Games
- Cognitive Robotics
- Mathematical Topics in Machine Learning
- Computational Game Theory
- Natural Language Processing
- Natural Language Understanding
- Algorithms and Complexity
- Mathematical Systems and Computation
- Graphics & Virtual Environments
- Computer Vision
- Advanced Distributed Systems
- Cybersecurity: Principles and Secure Software Systems
- Quantum Computing
- 2P1: Complex Analysis
- Mathematics Education
- Topology and Analysis
- Analysis and Geometry in Affine Space
- Differential Geometry of Curves and Surfaces
- Advanced Algebra
- Coding Theory
- Hyperbolic Geometry
- Algebraic Geometry
- Number Theory
- Combinatorics and Graph Theory
- Mathematical Logic
- Complex Analysis&Applications
- Wave Motion
- Elasticity and Viscous Fluid Dynamics
- Mathematical Biology
- Methods of Applied Mathematics
- Mathematics of a Finite Planet
- Numerical Analysis 2
- Problem Solving by Computer
- Mathematics and Applications of Machine Learning
- Martingales with Applications to Finance
- Markov Processes
- Foundations of Modern Probability
- Time Series Analysis
- Medical Statistics
- Multivariate Statistics and Machine Learning
- Generalised Linear Models
- Mathematical Modelling in Finance
- Enterprise Management for Computer Scientists
- Managing Finance in Enterprises for Computer Scientists
Questions about this course
How much do graduates of BSc Computer Science and Mathematics at University of Manchester earn?
The median salary is £40,000 after 15 months, £44,000 after 3 years, £59,000 after 5 years. After five years the middle half of graduates earn between £42,500 and £78,000. The £59,000 median after five years is £19,500 more than the UK median for Mathematics.
What do graduates of BSc Computer Science and Mathematics at University of Manchester do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Computer Science and Mathematics at University of Manchester?
83% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Computer Science and Mathematics at University of Manchester?
The typical offer is A*AA at A level. The average entrant had 192 UCAS points.
How many students continue on BSc Computer Science and Mathematics at University of Manchester?
95% of students continued into their second year, and 5% left higher education.