BSc Mathematics and Management (with a year in industry)
Entry requirements
A level: AAB including A in Mathematics IB: 35 points including Higher Level 6 in Mathematics (either Analysis and Approaches or Applications and Interpretations) BTEC: DDD plus grade A in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics
About this course
BSc (Hons) in Mathematics and Management (with a year in industry), a mathematics, operational research, statistics and economics and business management degree bridging quantitative theory and corporate practice. Core topics include Statistics, Mathematical Modelling, Financial Analysis, and Accounting. The course includes a paid industrial placement year between the second and final years to gain professional experience. The first year covers the foundations through Foundations and Calculus, Introduction to Probability and Statistics, Introduction to Accounting, and Business Economics. The second year progresses with Probability and Markov Chains, Strategic Management, People, Management and Professional Development, and Financial Modelling with R. The final year involves advanced compulsory study in Mathematical Finance in Discrete Time, Decision Theory and Bayesian Statistics, and Operations Research. Students can also choose from optional modules such as Company Law, Sustainability and Business, Supply Chain Management, Actuarial Mathematics, Contingencies, and Further Statistics for Actuarial Science.
Modules
- Foundations and Calculus
- Introduction to Probability and Statistics
- Introduction to Accounting
- Multivariable Calculus and Matrices
- Business Economics
- Finance Fundamentals
- Probability and Markov Chains
- Strategic Management
- People, Management and Professional Development
- Statistical Inference and Linear Models
- Linear Algebra
- Financial Modelling with R
- Mathematical Finance in Discrete Time
- Decision Theory and Bayesian Statistics
- Operations Research
- Company Law
- Sustainability and Business
- Supply Chain Management
- Actuarial Mathematics
- Contingencies
- Further Statistics for Actuarial Science