Studyportals
M.Sc. On Campus

Operational Research and Statistics

University of Southampton

12 months
Duration
21000 GBP/year
9250 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

Develop the analytical and statistical skills for success in industry, business or public sector at the Operational Research and Statistics MSc course offered by the University of Southampton. You’ll work with multinational industry partners on real case studies, and learn operational research techniques and applied statistical methods at an advanced level.

Overview

Course Details

Operational researchers use analytical methods to help organisations become more productive through better planning of strategy and delivery. 

Statistics is an important tool for operational researchers, because it involves decision-making in the face of uncertainty. 

At the Operational Research and Statistics MSc course offered by the University of Southampton you’ll learn to develop solutions to complex organisational problems using mathematical modelling, experimental design, statistical analysis and numerical computation. 

You'll gain essential skills in the 4 main areas of real-world problem-solving: 

  • analysing the problem through designing experiments, and collecting and visualising data 
  • formulating the problem mathematically and offering solution approaches 
  • providing statistical analysis and computation 
  • presenting and communicating the results 

A highlight of this statistics and operational research course is the 3-month summer project, when you’ll have the chance to compete to work with an external organisation on a real problem. This could relate to operational research, statistics, or both. 

Career Opportunities

With this degree you’ll be ready to work as an operational researcher or statistician in industry, business or the public sector. 

Career advancement is usually rapid in operational research. 

Industries you could go into include: 

  • government 
  • defence  
  • financial services  
  • health 
  • manufacturing  
  • oil 
  • transport and travel  

You’ll also be in a great position to continue your researches at PhD level. 

Many external organisations are represented on the advisory board of our research centre, CORMSIS. Throughout the course you’ll have opportunities to network with companies such as: 

  • Shell 
  • British Airways 
  • AA 
  • Defence Science and Technology Laboratory 
  • HM Revenue & Customs 

Programme Structure

Courses include:

  • Deterministic or Methods
  • Stochastic or Methods
  • Analytical Consultancy Skills
  • Computer-based statistical modelling
  • Data Analytics
  • Data Visualisation
  • Design of Experiments
  • Flexible Regression
  • Forecasting

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

You’ll need a 2:1 degree in a subject which provides some quantitative training, such as: 

  • computer science 
  • economics 
  • engineering 
  • mathematics 
  • physics 
  • statistics 

Tuition Fee

To alway see correct tuition fees
  • International

    21000 GBP/year
    Tuition Fee
    Based on the tuition of 21000 GBP for the full programme during 12 months.
  • National

    9250 GBP/year
    Tuition Fee
    Based on the tuition of 9250 GBP for the full programme during 12 months.

EU and international students pay £21,000.

Living costs for Southampton

697 - 1093 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Operational Research and Statistics
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University of Southampton

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