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MSc Statistics & Operational Research

  • DeadlineStudy Details:

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

Course Description

This programme will help you develop professionally in the theory and practice of statistics and operational research (OR), providing the foundations for a successful career.

This programme will prepare you for work in areas such as the medical and health industry, government, the financial sector and any other area where modern statistical tools and OR techniques are used. You will also develop the wider skills required for solving problems, working in teams and time management.

You will be able to identify appropriate statistical or operational techniques, which can be applied to practical problems, and will acquire extensive skills in modelling using the packages R for Statistics and Arena for simulation.

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.

Your degree must have included substantial mathematics content, including calculus (including calculus of several variables), linear algebra, probability, statistics and statistical theory. Detailed information is available from the School of Mathematics website.

You can increase your chances of a successful application by exceeding the minimum programme requirements.

Fees

Please see our website

Student Destinations

This programme is ideal for students who wish to apply their statistics and operational research knowledge within a wide range of sectors including the medical and health sector, government and finance. The advanced problem-solving skills you will develop will be highly prized by many employers.

In addition to entering employment, some of our graduates also choose to progress to an academic career by studying for a PhD in statistics. Students have gone on to study their PhDs at highly-ranked universities including Oxford and Edinburgh.

Module Details

Compulsory courses have previously included:

  • Bayesian Theory
  • Fundamentals of Operational Research
  • Fundamentals of Optimization
  • Generalised Regression Models
  • Methodology, Modelling and Consulting Skills
  • Simulation
  • Statistical Programming
  • Statistical Research Skills

Optional courses have previously included:

  • Bayesian Data Analysis
  • Biomedical Data Science
  • Biostatistics
  • Credit Scoring
  • Incomplete Data Analysis
  • Integer and Combinatorial Optimization
  • Large Scale Optimization for Data Science
  • Machine Learning in Python
  • Operational Research in the Energy Industry
  • Python Programming
  • Risk and Logistics
  • Statistical Methodology
  • Stochastic Modelling
  • Time Series
  • Topics in Applied Operational Research
  • Methods for Causal Inference*

*delivered by the School of Informatics

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