Our highly regarded mathematics courses were ranked in the top 10 in the UK in the 2019 Guardian University Guide. This includes our mathematics with business degree, which covers topics such as logical analysis, deduction, mathematical modelling, business processes and calculation. You will also learn to use some of the mathematical software packages to analyse data.
You will gain a theoretical and practical knowledge of mathematics, enabling you to solve a range of complex business problems. Business is a minor component of the degree and accounts for a quarter of your studies.
Many industries can benefit from graduates able to combine intellectual and mathematical abilities with business awareness and acumen, so our graduates can explore a variety of career options.
What you should know about this course
Year 1
Students are required to study the following compulsory modules.
- Introduction to Business Processes (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.
- Linear Algebra and Differential Equations (30 credits)
- Operational Research: Linear Programming (15 credits)
- Simulation and Modelling (15 credits)
- Operations Management (30 credits)
- Statistical Data Analysis and Time Series (30 credits)
Year 3
Students are required to study the following compulsory modules.
- Managing Strategy (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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