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Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Operational Research (Or) Data Analysis

Course type

Taught

Course Summary

The MSc Operations Research & Analytics provides you 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, with 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 applicable skills in high demand in the marketplace.

Modules

Studies common techniques of statistical inference, together with theoretical justification The techniques are then applied to linear and logistic regression and basic time series models. Statistical software R constitutes an integral part of the course and provides hands-on experience of data analysis.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£29,472

International fees
Course fees for EU and international students

For this course (per year)

£29,472

Entry requirements

An upper second class honours (2:1) degree in a relevant discipline (or equivalent). Students should normally have taken university courses including calculus, linear algebra, and statistics. Appropriate work experience will also be considered.