BSc Mathematics, Operational Research, Statistics and Economics (MORSE)
Entry requirements
A level: AAA. This should include Mathematics grade A or Further Mathematics grade A. The overall offer grades will be lowered to AAB for applicants who achieve both Mathematics and Further Mathematics at grades AB, in either order. IB: 36 points overall with 16 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
About this course
BSc Hons Mathematics, Operational Research, Statistics and Economics (MORSE), a degree in Mathematics and Mathematics, Operational Research, Statistics and Economics and Economics, bridges quantitative theory with business and industrial applications. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Policy Analysis, Human Behaviour, Artificial Intelligence & Machine Learning. The curriculum spans across three years, incorporating both individual and group project work alongside core and optional study pathways. The first year establishes core foundations through modules such as Computing for Business Decision Making, Managing Uncertainty in Business, Matrices and Calculus, Principles of Macroeconomics, Principles of Microeconomics, and Probability and Statistics. The second year progresses into specialised areas with compulsory study in Applied Data Science, Business Optimisation and Simulation, Forecasting and Machine Learning, Microeconomic Analysis, and Multivariate Probability and Statistics, alongside optional choices like Games and Strategic Behaviour and Macroeconomic Analysis. The final year delivers advanced training via core modules including Advanced Optimisation and Simulation and Statistical Inference, while offering a wide range of optional modules such as Advanced Machine Learning for Data Mining, Behavioural Economics, Dynamic Modelling, Econometrics and Data Science in Economics, Environmental Statistics, Frontiers of Economics, Global Macroeconomics and Policy, International Trade and Business, Mathematical Finance, Medical Statistics, Negotiation Skills, Public Policy Analysis, and Statistical Learning and Prediction.
Modules
- Computing for Business Decision Making
- Managing Uncertainty in Business
- Matrices and Calculus
- Principles of Macroeconomics
- Principles of Microeconomics
- Probability and Statistics
- Applied Data Science
- Business Optimisation and Simulation
- Forecasting and Machine Learning
- Microeconomic Analysis
- Multivariate Probability and Statistics
- Games and Strategic Behaviour
- Macroeconomic Analysis
- Advanced Optimisation and Simulation
- Statistical Inference
- Advanced Machine Learning for Data Mining
- Behavioural Economics
- Dynamic Modelling
- Econometrics and Data Science in Economics
- Environmental Statistics
- Frontiers of Economics
- Global Macroeconomics and Policy
- International Trade and Business
- Mathematical Finance
- Medical Statistics
- Negotiation Skills
- Public Policy Analysis
- Statistical Learning and Prediction