BSc Mathematics with Economics (Placement Year)
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 in Mathematics with Economics (Placement Year), an undergraduate degree in Mathematics and Economics exploring the intersection of quantitative theory and economic systems. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Policy Analysis, Human Behaviour, and Artificial Intelligence & Machine Learning. Students complete an integrated industrial placement year in their third year to gain practical professional experience before returning for final-year studies. The first year covers core foundations through modules such as Matrices and Calculus, Principles of Macroeconomics, Principles of Microeconomics, and Probability and Statistics, alongside optional choices like Mathematical Modelling and Programming. The second year advances quantitative competence with Applied Data Science, Linear Algebra, Microeconomic Analysis, and Multivariate Probability and Statistics. In the final fourth year, students deepen their expertise through core advanced study like Statistical Inference, while selecting from extensive optional modules spanning Behavioural Economics, Econometrics and Data Science in Economics, and Public Policy Analysis.
Modules
- Matrices and Calculus
- Principles of Macroeconomics
- Principles of Microeconomics
- Probability and Statistics
- Logic and Discrete Mathematics
- Mathematical Modelling and Programming
- Multivariate Calculus
- Symmetry and Sequences
- Applied Data Science
- Linear Algebra
- Microeconomic Analysis
- Multivariate Probability and Statistics
- Games and Strategic Behaviour
- Macroeconomic Analysis
- Mathematics of Artificial Intelligence
- Real-world Dynamics
- Placement
- Statistical Inference
- Behavioural Economics
- Changepoint and Time Series Analysis
- Dynamic Modelling
- Econometrics and Data Science in Economics
- Environmental Statistics
- Frontiers of Economics
- Global Macroeconomics and Policy
- Graph Theory and Algorithms
- International Trade and Business
- Mathematical Finance
- Mathematics of Generative Modelling
- Public Policy Analysis
- Statistical Learning and Prediction
- Stochastic Processes