Statistics and Operational Research MSc

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Organisation
University of Edinburgh
Start - End
12 Sep
Application Deadline
31 Aug
Study Options
Full Time
Fee International
GBP 26300 - 26300

rogramme 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.

Links with Industry

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.

Recent partners for industry-based dissertations in the Statistics and Operational Research MSc include:

  • Wood Mackenzie
  • Nextail
  • Arup

Accreditation

This MSc is accredited by the Royal Statistical Society (RSS). Thus, this programme is recognised by RSS for the purpose of eligibility for the professional award of Graduate Statistician. The accreditation is based on the general depth, breadth, quality and foundation of the programme and its statistical content.

Programme structure

This programme involves two taught semesters of compulsory and optional courses followed by your dissertation project.

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

Dissertation projects

Dissertation projects on this programme can be undertaken in partnership with public and private sector organisations. Other students choose an academic project without a direct link to an external organisation.

Career opportunities

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.

Student experience

Student Learning Advisor

In the School of Mathematics we have a dedicated Student Learning Advisor for MSc students who is available to help and advise on a range of issues connected to your taught postgraduate studies.

In addition to your individual meetings with your Personal Tutor, you will have a number of activities with the Student Learning Advisor as part of our personal development programme. This is designed to support your academic progress, career planning and skills development.

Student blogs

Learn about what life is like as a MSc student in the School of Mathematics, by hearing from the people that have experienced it first-hand! Our student bloggers come from all across the world, and have studied on a variety of our MSc programmes.


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