MMath Applied Mathematics
About this course
MMath (Hons) in Applied Mathematics, a mathematics degree focused on advanced analytical techniques and quantitative problem-solving. Core topics include Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students can transfer between the Bachelor and Master routes up to the start of the fourth year, and study non-mathematical subjects externally during the first two years. The first year establishes university-level foundations through Introduction to Mathematics at University, Introduction to Mathematical Analysis, Linear Algebra 1, and Introduction to Data Science. The second year progresses with Linear Algebra 2, Elementary Probability and Statistics, Further Analysis and Several Variable Calculus, and Modelling and Computing. Year 3 expands into specialized branches with modules such as Statistics, Topology, Algebra, Analysis, Operational Research, Differential Equations, Numerical Analysis, Probability and Measure Theory, Financial Mathematics, Introduction to Number Theory, and Statistical Computing. The final year involves advanced study across applied mathematics, statistics, operational research, financial mathematics, mathematical biology, and mathematical education, alongside options like Stochastic Modelling, Mathematical Biology, Machine Learning in Python, and Applied Dynamical Systems.
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: from A*A*A* to A*AB in one set of exams (required: Mathematics at A*) IB: from 38 points with 766 at HL to 34 points with 765 at HL
What students say
Based on about 99 final-year students who answered, across similar courses at this university
- Teaching on my course: 89%
- Learning opportunities: 78%
- Assessment and feedback: 73%
- Academic support: 86%
- Organisation and management: 80%
- Learning resources: 90%
- Student voice: 69%
Do students stay on the course?
Based on about 25 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 47 graduates who answered, across similar courses at this university
- Working: 53%
- Working and studying: 21%
- Further study: 14%
- Unemployed: 5%
Most common jobs
- Finance Professionals: 20%
- Information Technology Professionals: 20%
- Elementary occupations: 10%
- Business, Research and Administrative Professionals: 10%
- Administrative occupations: 5%
- Find their work meaningful: 65%
- Feel on track for their future plans: 70%
- Use what they learnt on the course: 45%
Where graduates work (5 years on)
Based on about 90 graduates, across similar courses at this university
- North West: 7%
- Yorkshire and the Humber: 4%
- East Midlands: 1%
- East of England: 4%
- London: 19%
- South East: 2%
- South West: 3%
- Wales: 1%
- Scotland: 57%
- Northern Ireland: 2%
Who gets in
Based on about 25 students who started (a small group: a rough guide only)
- A levels: 75%
- Other HE qualification: 10%
- No formal qualifications: 15%
Modules
- Introduction to Mathematics at University
- Introduction to Mathematical Analysis
- Linear Algebra 1
- Introduction to Data Science: you will learn to collect and explore data, before using models and predictions to make rigorous conclusions
- Fundamentals of Algebra and Calculus: an online, introductory course that provides extra preparation in key topics from advanced high school level mathematics and further supports your transition to university
- Linear Algebra 2
- Elementary Probability and Statistics
- Further Analysis and Several Variable Calculus
- Modelling and Computing
- Statistics
- Topology
- Algebra
- Analysis
- Operational Research
- Differential Equations
- Numerical Analysis
- Probability and Measure Theory
- Financial Mathematics
- Introduction to Number Theory
- Statistical Computing
- applied mathematics
- statistics
- operational research
- financial mathematics
- mathematical biology
- mathematical education
- Stochastic Modelling
- Machine Learning in Python
- Applied Dynamical Systems
Questions about this course
How much do graduates of MMath Applied Mathematics at University of Edinburgh earn?
The median salary is £35,000 after 15 months, £31,000 after 3 years, £41,000 after 5 years. After five years the middle half of graduates earn between £32,500 and £56,500. The £41,000 median after five years is £1,500 more than the UK median for Mathematics.
What do graduates of MMath Applied Mathematics at University of Edinburgh do next?
88% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MMath Applied Mathematics at University of Edinburgh?
89% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MMath Applied Mathematics at University of Edinburgh?
The typical offer is A*AB at A level, or 38 points in the IB. The average entrant had 190 UCAS points.
Does MMath Applied Mathematics at University of Edinburgh include a placement year or year abroad?
The course has an optional year abroad.
How many students continue on MMath Applied Mathematics at University of Edinburgh?
100% of students continued into their second year, and 0% left higher education.