Operational Research and Data Science (MSc)

Award
Master of Science
Typical Offer
2:1 degree View full entry requirements
Duration
1 year
Course Type
Full-time
Campus
Highfield
Next course starts
September 2026

About this course

This MSc Operational Research and Data Science degree will help you build advanced skills in data analysis, artificial intelligence (AI), and business intelligence. You’ll learn how to apply innovative techniques in operational research and data science to solve real-world business problems.

Operational research is at the intersection of data science, machine learning, and advanced analytics. On this MSc Operational Research and Data Science course, you’ll learn how to:

  • analyse complex data and build predictive models
  • apply optimisation algorithms to improve decision-making
  • use Python and R for data manipulation, visualisation and machine learning
  • apply data science and operational research tools across different industries
  • explore emerging trends in data analytics and AI

You’ll be supported by the Centre for Operational Research, Management Science and Information Systems (CORMSIS). CORMSIS is one of the UK’s leading analytics research groups with over 25 years of industry partnerships, including Tesco, Shell, British Airways, Rolls Royce and HMRC.

You’ll study topics such as predictive analytics, revenue management, forecasting, simulation, stochastic modelling, and machine learning for business.

Through hands-on projects and a 3-month summer placement, you’ll work with real data from industry partners. Our dedicated CORMSIS industrial liaison team will help match you with a project that aligns with your career goals.

You’ll also benefit from regular talks by data science professionals and industry leaders, keeping you up to date with the latest developments in analytics and AI.

As a data-driven operational researcher, you'll extract insights from complex datasets, build predictive models, and use optimisation algorithms to solve real-world business challenges.

If you excel at mathematics, enjoy working with data, and have strong analytical and communication skills, this programme offers a rewarding pathway into data science and AI professions. 

If you enjoy working with data, have strong maths and communication skills, and want to make a real impact through data-driven decision-making, this course is for you.

League table rankings

The University of Southampton is a Russell Group member and ranked:

  • 13th in the UK for Statistics and Operational Research (QS World University Rankings by Subject, 2025)
  • 17th overall in the UK (Complete University Guide 2026)
  • in the World Top 100 globally for Statistics and Operational Research (QS 2025)

Flexible study

If you prefer, you can apply to study this course as:

  • a part-time master's - study the same course content over 2 or more years

Your modules and fees may vary if you choose a different study option.

We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. ¸£Àû×ÅÆ¬ out why, when, and how we might make changes.

Our courses are regulated in England by the Office for Students (OfS).

Course lead

Professor Alain Zemkoho is your course leader. Read Professor Zemkoho’s profile to learn more about his work.

Course location

This course is based at Highfield.

Awarding body

This qualification is awarded by the University of Southampton.

Download the Course Description Document

The Course Description Document details your course overview, your course structure and how your course is taught and assessed.