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BSc Mathematics, Statistics & Business Analysis

University of Strathclyde

Institution
University of Strathclyde
Level
undergraduate
Subject
BSc Hons Mathematics, Statistics & Business Analysis
UCAS code
GN12

Entry requirements

A level: Standard entry requirements*: Year 1 entry: BBB (Maths, GCSE English Language 6/B or English Literature 6/B) Year 2 entry: ABB (Maths A, business subject B, GCSE English Language 6/B or English Literature 6/B) IB: Standard entry requirements*: Year 1 entry: 30 (Mathematics HL5, English SL6) Year 2 entry: 32 (Mathematics HL6, English SL6)

About this course

BSc in Mathematics, Statistics and Business Analysis, combining mathematics, statistics, and business management. Core topics include programming, data analysis, statistics, mathematical modelling, and financial analysis. A final-year dissertation in Management Science is included, and the programme uses R and Matlab for computational and statistical work.

Modules

  • Mathematical Foundations
  • Calculus 1
  • Introduction to Geometry & Algebra
  • Introduction to Economics & Business Analysis
  • Essential Statistics
  • Data Analysis & Presentation
  • Linear Algebra & Differential Equations
  • Advanced Calculus
  • Probability & Statistical Inference
  • Mathematical & Statistical Computing
  • Analysing & Improving Operations
  • Managing Business Processes & Information Systems
  • Applied Linear Algebra
  • Regression Modelling
  • Understanding & Optimising Business Systems
  • Knowledge & Innovation Management
  • Stochastic Processes
  • Partial Differential Equations
  • Experimental Design
  • Statistical Inference
  • Survey Design & Analysis
  • Numerical Analysis
  • Communicating Mathematics & Statistics
  • Dissertation - Management Science
  • Statistical Modelling & Analysis
  • Applied Statistics in Society
  • Medical Statistics
  • Modelling & Simulation with Applications to Financial Derivatives
  • Finite Element Methods for Boundary Value Problems & Approximation
  • Mathematical Biology & Marine Population Modelling
  • Mathematical Introduction to Networks
  • Risk Analysis & Management
  • Contemporary Business Technology
  • Business Analysis & Practice
  • Project Management
  • Programming for Business Analytics
  • AI for Managers
  • Systems Thinking with Systems Dynamics