Our highly regarded mathematics courses were ranked in the top 10 in the UK in the 2019 Guardian University Guide. They include our mathematics with economics degree, which will sharpen your ability to analyse and solve problems, and enable you to apply mathematics to real-life situations informed by economics. You will learn to use mathematical software and consider how economics-related problems can be solved through applied mathematics.
With a new understanding of logical analysis, deduction, modelling and calculation, you will have the kind of skills and knowledge many employers are looking for. You will be ready to pursue careers in a range of business and financial roles.
What you should know about this course
Year 1
Students are required to study the following compulsory modules.
- Introduction to Economics for Business (30 credits)
- Vectors and Matrices (15 credits)
- Mathematical Coding (15 credits)
- Calculus and Mathematical Analysis (30 credits)
- Analysis of Data (15 credits)
- Probability and Randomness (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Intermediate Economics for Business (30 credits)
- Linear Algebra and Differential Equations (30 credits)
- Operational Research: Linear Programming (15 credits)
- Simulation and Modelling (15 credits)
- Statistical Data Analysis and Time Series (30 credits)
Year 3
Students are required to study the following compulsory modules.
- Managerial Economics (30 credits)
Students are required to choose 30 credits from this list of options.
- Machine Learning (15 credits)
- Actuarial Mathematics and Risk Modelling (15 credits)
- Optimisation Techniques (15 credits)
- Modelling and Analysis of Financial Instruments (15 credits)
- Financial Time Series (15 credits)
- Mathematics for the Life Sciences (15 credits)
- Graph Theory and Applications (15 credits)
- Coding and Cryptography (15 credits)
- Partial Differential Equations (15 credits)
- Linear Models and Statistical Inference (15 credits)
Students are required to choose 30 credits from this list of options.
- Research Methods and Mathematics Project (30 credits)
- UAS: Mathematics Education and Communication (30 credits)
- Mathematics Work Placement (30 credits)
Students are required to choose 30 credits from this list of options.
- Machine Learning (15 credits)
- Actuarial Mathematics and Risk Modelling (15 credits)
- Optimisation Techniques (15 credits)
- Mathematics for the Life Sciences (15 credits)
- Graph Theory and Applications (15 credits)
- Coding and Cryptography (15 credits)
- Partial Differential Equations (15 credits)
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