BSc Mathematics with Data Science
About this course
Bachelor of Science in Mathematics with Data Science, a mathematics degree centred on mathematical theory and computation. Core topics include Programming, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Project Management, Environmental Analysis, and Artificial Intelligence & Machine Learning. Students complete a compulsory final-year project alongside core training. The first year covers foundational topics through Calculus I, Calculus II, Computational Mathematics, and Introduction to Statistics. The second year progresses into specialised computational and statistical concepts through Fundamentals of Data Science in R, Numerical Analysis, Partial Differential Equations, and Statistical Inference. In the final year, students tackle advanced topics such as Machine Learning and the Mathematics Project, while tailoring their studies through optional modules spanning diverse branches of applied and pure mathematics.
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: AAA or AABB including Mathematics (grade A) IB: Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Preferred Mathematics module is Analysis and Approaches, but Applications and Interpretation also considered)
What students say
Based on about 13 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 84%
- Learning opportunities: 78%
- Assessment and feedback: 80%
- Academic support: 88%
- Organisation and management: 94%
- Learning resources: 85%
- Student voice: 78%
Do students stay on the course?
Based on about 20 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 90%
- Left higher education: 10%
What graduates do next
Based on about 35 graduates who answered, across similar courses at this university
- Working: 66%
- Working and studying: 12%
- Further study: 8%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 20%
- Business, Research and Administrative Professionals: 15%
- Teaching Professionals: 10%
- Business and public service associate professionals: 10%
- Administrative occupations: 5%
- Find their work meaningful: 75%
- Feel on track for their future plans: 65%
- Use what they learnt on the course: 50%
Where graduates work (5 years on)
Based on about 195 graduates, across similar courses at this university
- North East: 1%
- East Midlands: 2%
- West Midlands: 3%
- East of England: 9%
- London: 27%
- South East: 42%
- South West: 14%
- Wales: 2%
- Scotland: 1%
Who gets in
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 70%
- Foundation course: 10%
- A degree: 5%
- Other HE qualification: 10%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Calculus I
- Calculus II
- Computational Mathematics
- Core Skills for Mathematicians I
- Dynamics and Relativity
- First Year Mathematics Workshop
- Introduction to Statistics
- Linear Algebra I
- Linear Algebra II
- Number Theory
- Analysis
- Core Skills for Mathematicians II
- Fundamentals of Data Science in R
- Numerical Analysis
- Partial Differential Equations
- Statistical Inference
- Statistical Modelling I
- Algorithms
- Fields and Fluids
- Financial Mathematics
- Geometry and Topology
- Graph Theory
- Group Theory
- Introduction to Operational Research
- Stochastic Processes
- Vector Calculus and Complex Variable Theory
- Machine Learning
- Mathematics Project
- Actuarial Mathematics I
- Actuarial Mathematics II
- Advanced Fluid Dynamics
- Advanced Partial Differential Equations
- Algebraic Topology
- Complex Analysis
- Complex and Integral Transform Methods
- Computational Statistical Inference
- Design and Analysis of Experiments
- Further Number Theory and Cryptography
- Galois Theory
- Geometry and Data
- Global Health
- Global Sustainability Challenges
- Hilbert Spaces
- Infinite Groups
- Learning and Teaching Mathematics
- Mathematical Biology
- Mathematical Finance
- Mathematical Programming
- Numerical Partial Differential Equations
- Optimization
- Project Management
- Relativity, Black Holes and Cosmology
- Statistical Methods in Insurance
- Statistical Modelling II
- Structure and Dynamics of Networks
- Survival Models
Questions about this course
How much do graduates of BSc Mathematics with Data Science at University of Southampton earn?
The median salary is £33,000 after 15 months, £32,000 after 3 years, £42,500 after 5 years. After five years the middle half of graduates earn between £31,500 and £55,000. The £42,500 median after five years is £3,000 more than the UK median for Mathematics.
What do graduates of BSc Mathematics with Data Science at University of Southampton do next?
87% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Mathematics with Data Science at University of Southampton?
84% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Mathematics with Data Science at University of Southampton?
The typical offer is AAA at A level, or 36 points in the IB. The average entrant had 138 UCAS points.
How many students continue on BSc Mathematics with Data Science at University of Southampton?
90% of students continued into their second year, and 10% left higher education.