BA Business Analysis and Technology & Mathematics and Statistics
Entry requirements
A level: ABB-BBB (GCSE English Language 6/B or Literature 6/B, or an essay based A Level B may be considered in lieu of English; GCSE Maths 6/B; A Level Maths A for combinations with Accounting or Maths & Statistics) IB: 32-30 (no subject below 5 and including English SL5, Maths/Maths Studies SL5; Maths HL5 for combinations with Accounting or Maths & Statistics)
About this course
BA in Mathematics, Mathematics and Statistics, and Innovation. Core topics include programming, data analysis, statistics, mathematical modelling, and financial analysis. The Management Development Programme runs across all three years with industry placement, research, and international exchange pathways. Mathematical and statistical computing is taught using the R environment.
Modules
- Introduction to Economics & Business Analysis
- Introduction to Marketing & Entrepreneurship
- Introduction to Tourism Studies and Managing People
- Introduction to International Business
- Introduction to Finance and Financial Analysis
- Management Development Programme 1
- Academic Skills
- Mathematical Foundations
- Calculus 1
- Management Development Programme 2
- Analysing & Improving Operations
- Managing Business Processes & Information Systems
- Linear Algebra & Differential Equations
- Probability & Statistical Inference
- Mathematical & Statistical Computing
- Management Development Programme 3
- Understanding & Optimising Business Systems
- Knowledge & Innovation Management
- Differential Equations
- Inference & Regression Modelling
- Complex Variables & Integral Transforms
- Linear Algebra
- Numerical Analysis
- Stochastics & Financial Econometrics
- Management Science 4
- Business Analytics Using Data Mining
- Business Process Integration with Enterprise Resource Planning
- Risk Analysis & Management
- Communicating Mathematics & Statistics
- Modelling & Simulation with Applications to Financial Derivatives
- Statistical Modelling & Analysis
- Applied Statistics in Society
- Applicable Analysis 3
- Fluids & Waves
- Finite Element Methods for Boundary Value Problems & Approximations
- Mathematical Biology & Marine Population Modelling
- Elasticity & Complex Materials
- Optimisation: Theory & Practice
- Statistical Mechanics
- Dynamical Models in Epidemiology
- Introduction to Econometrics
- Electronic Commerce