• Goldsmiths, University of London Featured Masters Courses
  • Jacobs University Featured Masters Courses
  • University of Cambridge Featured Masters Courses
  • Ulster University Featured Masters Courses
  • Swansea University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Leeds Featured Masters Courses
University of Warwick Featured Masters Courses
Queen Margaret University, Edinburgh Featured Masters Courses
Nottingham Trent University Featured Masters Courses
Queen Mary University of London Featured Masters Courses
Newcastle University Featured Masters Courses

Statistics and Operational Research (in partnership with industry) (STOR-i)

Course Description

This programme offers a ground-breaking approach to statistics and operational research, developed in conjunction with leading industrial partners. There are typically over ten fully funded places annually.

Collaboration with our industrial partners, such as BT, IBM and AstraZeneca, ensures that we produce a generation of highly skilled researchers prepared for careers in academia or industry.

The MRes provides a robust grounding and the development of research skills, you will identify a topic and plan your PhD research. You will also develop a versatile skill set including: advanced problem solving, programming, and a broad range of presentation and dissemination skills.

You can also choose to take the PhD version of the programme, spending three years working on the PhD project guided by appropriate supervisory teams, whilst taking a range of training programmes and experiencing visits to world leading universities.

Compulsory modules:
- Training for Research and Industry
- Probability and Stochastic Processes
- Optimisation
- Likelihood Inference
- Bayesian Inference
- Computational Intensive Methods

Optional modules:
- Leadership and Project Management Training
- Communication Training
- Research Integrity
- Continual Professional Development in Statistics and Operational Research
- Computational Horizons

Visit the Statistics and Operational Research (in partnership with industry) (STOR-i) page on the Lancaster University website for more details!

Entry Requirements

First class honours degree, or its equivalent, in an undergraduate course with a substantial mathematical content.

Email Enquiry

Recipient: Lancaster University
Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.
Email Sent

Share this page:

Cookie Policy    X