BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year
About this course
BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year, a mathematics degree focused on modern data science, statistical analysis and computational intelligence. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. This 4-5 year programme includes a compulsory foundation year, with optional opportunities for a placement year and a year abroad. The first year covers core mathematical foundations and coding through Calculus and Analysis 1, Linear Algebra 1, Fundamentals of University Mathematics, and Programming Fundamentals, followed by Calculus and Analysis 2, Linear Algebra 2, Probability and Statistics, and Algorithms, Data Structures and Advanced Programming. Year 2 builds on this with Vector Calculus, Statistical Distributions and Inference, Fundamentals of Data Science, and Mathematical Foundations of AI and Machine Learning. Further studies incorporate compulsory modules such as Differential Equations, Operational Research, Financial Engineering, and Complex Analysis, alongside project work including the Mathematics and AI Project.
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: BCC or points equivalent from your best three A-levels
What students say
Based on about 11 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 67%
- Learning opportunities: 83%
- Assessment and feedback: 80%
- Academic support: 88%
- Organisation and management: 77%
- Learning resources: 95%
- Student voice: 74%
Do students stay on the course?
Based on about 10 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 60 graduates who answered, across similar courses at this university
- Working: 61%
- Working and studying: 19%
- Further study: 3%
- Unemployed: 11%
Most common jobs
- Administrative occupations: 15%
- Finance Professionals: 15%
- Business, Research and Administrative Professionals: 15%
- Business and public service associate professionals: 15%
- Elementary occupations: 10%
- Find their work meaningful: 80%
- Feel on track for their future plans: 75%
- Use what they learnt on the course: 65%
Where graduates work (5 years on)
Based on about 95 graduates, across similar courses at this university
- North West: 5%
- Yorkshire and the Humber: 5%
- East Midlands: 28%
- West Midlands: 12%
- East of England: 9%
- London: 21%
- South East: 17%
- South West: 3%
- Northern Ireland: 1%
Who gets in
Based on about 465 students who started, across similar courses at this university
- A levels: 69%
- Baccalaureate: 1%
- Access course: 1%
- Foundation course: 1%
- Other HE qualification: 4%
- Other qualifications: 23%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Silver for student experience, Gold for student outcomes.
Modules
- Mathematical Methods
- Mechanics
- Introductory Data Analysis
- Introduction to Programming
- Academic Support
- Mathematics and AI Project
- Machine Learning for Data Analysis and Artificial Intelligence
- Markov Processes
- Mathematical Modelling
- Operational Research
- Scientific Computing
- Financial Engineering
- Computers, Society and Professionalism
- Computational Intelligence and Software Engineering
- Data Mining and Neural Networks
- Generalised Linear Models
- Introduction to Functional Data Analysis
- Nonlinear Optimisation
- Complex Analysis
- Communicating Mathematics
- Analysis and Design of Algorithms
- Calculus and Analysis 1
- Linear Algebra 1
- Fundamentals of University Mathematics
- Programming Fundamentals
- Calculus and Analysis 2
- Linear Algebra 2
- Probability and Statistics
- Algorithms, Data Structures and Advanced Programming
- Vector Calculus
- Statistical Distributions and Inference
- Fundamentals of Data Science
- Advanced Linear Algebra
- Advanced Discrete Mathematics
- Introduction to Computing
- Mathematical Foundations of AI and Machine Learning
- Statistical Data Analysis
- AI for Data Science
- Industrial Applications of Mathematics
- Data Analytics
- Differential Equations
Questions about this course
How much do graduates of BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year at University of Leicester earn?
The median salary is £31,000 after 15 months, £35,500 after 3 years, £45,500 after 5 years. After five years the middle half of graduates earn between £36,500 and £61,500. The £45,500 median after five years is £6,000 more than the UK median for Mathematics.
What do graduates of BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year at University of Leicester do next?
83% 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 and Artificial Intelligence with Foundation Year at University of Leicester?
67% 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 and Artificial Intelligence with Foundation Year at University of Leicester?
The typical offer is BCC at A level. The average entrant had 114 UCAS points.
Does BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year at University of Leicester include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on BSc Mathematics with Data Science and Artificial Intelligence with Foundation Year at University of Leicester?
90% of students continued into their second year, and 10% left higher education.