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:
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.
Your studies on the full-time course will last 12 months, from September to the following September.
For the first 8 months (semesters 1 and 2) you'll focus on the taught part of your course.
Each semester is made up of a combination of modules that everyone on the course takes, and modules that we’ll ask you to choose from a list of options.
For the remainder of the course, you’ll work independently on your research project and dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
Want more detail? See all the modules in the course.
You'll need a 2:1 degree in a quantitative subject with an appropriate level (2:1 or equivalent) for your Mathematics modules, which must form a substantial part of your degree.
Find the equivalent international qualifications for your country.
For further details of our admission process, read our step by step guide to postgraduate taught applications .
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 34860英镑/年 |