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  • DeadlineStudy Details:

    MSc: 1 year full-time, 2 years part-time

Course Description

This programme will show you how to use mathematical techniques to tackle real-life problems ranging from scheduling flights and routing mobile phone calls, over optimising power systems and logistic networks, to managing investments and minimising risks.

Operational Research (OR) is an important skill that is in high demand.

Our intensive programme allows you to specialise in an area that best suits your career goals.

The School of Mathematics has connections with a wide number of industrial partners, organisations, charities and government departments. As an MSc student in the School you will have opportunities to engage with these external organisations through regular employability events, careers workshops, and our annual analytics challenge (whose recent partners have included Edinburgh Airport and the Data and Marketing Association). There is also the opportunity to undertake a dissertation project with an external partner.

Entry Requirements

A UK 2:1 degree, or its international equivalent, in a numerate discipline such as mathematics, engineering, computer science, physical or biological sciences, economics or business. You can increase your chances of a successful application by exceeding the minimum programme requirements.

Fees

Please see our website

Student Destinations

The skills you will learn are in demand by a vast range of high-profile organisations, including:

  • consultancy firms
  • the public sector
  • companies with operational research departments such as airlines, energy and telecommunications providers, financial firms, manufacturers

Recent graduates have joined:

  • British Airways
  • Edinburgh Airport
  • the Government OR Service
  • RBS
  • Ernst & Young
  • Merkle | Aquila
  • smaller specialised OR, finance, and energy companies

Module Details

Compulsory courses have previously included:

  • Fundamentals of Optimization
  • Fundamentals of Operational Research
  • Methodology, Modelling and Consulting Skills
  • Simulation
  • Stochastic Modelling

Optional courses have previously included:

  • Python Programming
  • Machine Learning in Python
  • Optimization Methods in Finance
  • Topics in Applied Operational Research
  • Risk and Logistics
  • Operational Research in the Energy Industry
  • Credit Scoring
  • Biomedical Data Science
  • Large Scale Optimization for Data Science
  • Natural Computing*
  • Introduction to Practical Programming with Objects*
  • Algorithmic Game Theory and its Applications*
  • Introductory Probability and Statistics
  • Biostatistics
  • Generalised Regression Models
  • Statistical Methodology
  • Statistical Programming
  • Time Series

*delivered by the School of Informatics

Find out more and apply

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