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BSc Mathematics, Operational Research, Statistics and Economics (MORSE) (Industry)

Lancaster University

Institution
Lancaster University
Level
undergraduate
Subject
Mathematics, Operational Research, Statistics and Economics (MORSE) (Industry)
Duration
4 years
UCAS code
GLN1
Typical offer
A-level AAA, IB 36

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, Operational Research, Statistics and Economics (MORSE) (Industry), an undergraduate degree in the Mathematics and Mathematics, Operational Research, Statistics and Economics and Economics subject area, unites quantitative disciplines to solve practical challenges in commerce and industry. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Policy Analysis, Human Behaviour, Artificial Intelligence & Machine Learning. This four-year programme includes an integrated professional industry placement year during the third year. The first year covers core foundations through Computing for Business Decision Making, Managing Uncertainty in Business, Matrices and Calculus, and Probability and Statistics. The second year progresses into specialized analytical and economic concepts through Applied Data Science, Business Optimisation and Simulation, Forecasting and Machine Learning, and Microeconomic Analysis, with options including Games and Strategic Behaviour. The final fourth year advances technical capabilities via Advanced Optimisation and Simulation and Statistical Inference. Optional modules allow specialisation in areas such as Advanced Machine Learning for Data Mining, Behavioural Economics, Econometrics and Data Science in Economics, Mathematical Finance, and Public Policy Analysis.

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
  • Placement
  • 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
  • International Trade and Business
  • Mathematical Finance
  • Medical Statistics
  • Negotiation Skills
  • Public Policy Analysis
  • Stochastic Processes
  • Statistical Learning and Prediction
  • Global Macroeconomics and Policy