Program Overview

Mathematics, Operational Research, Statistics and Economics (MMORSE)

Overview

This 4-year Mathematics, Operational Research, Statistics and Economics (MORSE) degree is a broad, business-oriented integrated master's. The course is similar to the BSc MORSE for the first 3 years, then introduces more challenging concepts such as game theory, data mining and survival analysis.

Entry Requirements

• A-levels: AAA
• International Baccalaureate Diploma: Not specified
• Access to HE Diploma: Not specified
• Scottish Qualification: Offers will be based on exams being taken at the end of S6. Subjects taken and qualifications achieved in S5 will be reviewed.
• Cambridge Pre-U: Not specified
• Welsh Baccalaureate: Not specified
• GCSE requirements: Not specified
• Other requirements: UK students, International students, Other ways to qualify

Course Structure

• Year 1:
  • Linear Algebra I
  • Linear Algebra II
  • Principles of Macroeconomics
  • Foundations of Microeconomics or Principles of Microeconomics
• Year 2:
  • Analysis
  • Econometrics with Big Data
  • Operational Research II
  • Partial Differential Equations
  • Statistical Distribution Theory
  • Statistical Modelling I
  • Dynamic Macroeconomics, Group Theory, Introduction to Management, Operations Management, or other optional modules
• Year 3:
  • Mathematical Programming
  • Mathematics Project
  • Accounting and Finance for Non-Specialists, Actuarial Mathematics I, Actuarial Mathematics II, Advanced Fluid Dynamics, Advanced Partial Differential Equations, Algebraic Topology, Complex Analysis, Design and Analysis of Experiments, Further Number Theory, Futures and Options, Galois Theory, Graph Theory, Hilbert Spaces, Integral Transform Methods, International Banking, Mathematical Biology, Mathematical Finance, Numerical Methods, Optimization, Project Management, Relativity, Black Holes and Cosmology, Statistical Inference, Statistical Methods in Insurance, Statistical Modelling II, Structure and Dynamics of Networks, Survival Models, or other optional modules
• Year 4:
  • MMath Project
  • Accounting and Finance for Actuarial Science, Actuarial Mathematics I, Actuarial Mathematics II, Computer-based statistical modelling, Corporate Finance, Corporate Finance 1, Corporate Finance 2, Design of Experiments, Financial Mathematics, Financial Risk Management, Forecasting, Household Finance, Industrial Economics, Macroeconomics, Mathematical Finance, Microeconomics, Project Risk Management, Quantitative Finance, Quantitative Methods, Stochastic Processes, or other optional modules

Learning and Assessment

• Lectures
• Classes and tutorials
• Coursework
• Individual and group projects
• Independent learning
• Assessment breakdown:
  • Year 1: 72% written exam, 28% coursework
  • Year 2: 77% written exam, 23% coursework
  • Year 3: 64% written exam, 36% coursework
  • Year 4: 64% written exam, 36% coursework

Careers and Employability

• Employability skills: Research, Critical thinking, Self-management, Communication, Problem solving
• Career pathways: Actuarial analyst, Actuary, Data analyst, Data scientist, Financial risk analyst, Investment analyst, Market researcher, Operational researcher, Statistician, Economist
• Wider career opportunities: Business analyst, Chartered accountant, Economist, Financial manager, Financial trader, Insurance underwriter, Machine learning engineer, Research scientist, Marketing executive, University lecturer
• Job prospects: £30k average professional salary, 86% in a skilled profession or further study, 100% graduate employment rate

Fees, Costs, and Funding

• Tuition fees: UK students £9,535, EU and international students £24,200
• What your fees pay for: Full cost of tuition and standard exams
• Accommodation and living costs: Not included in tuition fees
• Bursaries, scholarships, and other funding: Available for UK and EU students, care leavers, and estranged students
• Scholarships and grants: Available for academic excellence, travel, and other purposes

Related Courses

• Maths with Data Science
• Mathematical Physics
• Mathematical Sciences
• Mathematics
• Mathematics with Actuarial Science
• Mathematics with Computer Science
• Mathematics with Finance
• Mathematics with French
• Mathematics with German
• Mathematics with Spanish
• Mathematics with Statistics
• Mathematics, Operational Research, Statistics and Economics
• Physics with Mathematics