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MSc Operations Research & Analytics

About the MSc programme

The MSc Operations Research and Analytics provides students with the skills needed to apply mathematical methods to real-world analytics problems faced by companies, governments, and other institutions. 

With study in practice and theory, you will gain deep insight into analytics problems. On the practical side, you will learn how to model a range of real-world problems using optimisation, simulation, and statistics, using specialist software taught with accompanying computer lab sessions. On the theoretical side, you will learn to recognise canonical underlying mathematical problems, and how to solve them with state-of-the-art methods.

You will also have the opportunity to undertake a Project in Operations Research & Analytics, working in a consultancy role in a host organisation, where you will turn a real problem faced by the organisation into a mathematical model whose solution provides tangible benefit. Alternatively, you may choose to write a Dissertation, supervised by a faculty member.

The programme is designed for students with strong quantitative backgrounds wishing to deepen and broaden their mathematical knowledge while gaining skills in high demand in the marketplace. Graduates are suited for careers in quantitative positions in consultancy, management, finance, government, and business, anywhere in the world.

Programme details

You can find the most up-to-date list of optional courses for MSc Operations Research & Analytics in the Programme Regulations section of the School Calendar.

You must note however that while care has been taken to ensure that this information is up to date and correct, some circumstances may cause the School to subsequently change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to circumstances outside of its control. You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee places on its courses. You should visit the School's Calendar, or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the Updated graduate course and programme information page.

 

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Application code: G2U1 (check availability)

Start date: 21 September 2017

Duration: 12 months full-time only

Minimum entry requirement: 2:1 degree or equivalent in a relevant discipline, including first year university mathematics and statistics course. Appropriate work experience also considered (see entry requirements)

English requirement: Standard (see English requirements)

GRE/GMAT requirement: Not mandatory but recommended

Fee level: £21,576

Financial support: Graduate Support Scheme (see Financial support)

Application deadline: None – rolling admissions