Birkbeck, University of London

Course Introduction

This programme has been specially designed to meet the personal and career development needs of people who want to continue working, or gain valuable interning experience, while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time'dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you’ll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures. This programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the modelling and forecasting of time'dependent phenomena.

Over 2 years, in lectures and practical computing sessions, the course covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce and research. The programme proceeds from a strong theoretical background, but it is practically oriented, in order to develop your ability to tackle new and non'standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.

Course Modules

Year 1

You take 2 core modules. These cover: probability and distribution theory; statistical inference; Markov Chains; introductory time series and forecasting; multiple linear regression; generalised linear modelling; experimental design. You will apply the theory and principles that you learn to the analysis and modelling of data in a wide range of contexts and gain experience in the use of a statistical package such as R. The first year corresponds to the Postgraduate Certificate in Applied Statistics.

Year 2

Normally, you choose 4 modules worth 15 credits each, offered from the broad areas of:

Further applied statistics (e.g. topics in Bayesian statistics, advanced multivariate analysis, computational statistics)

Operational research (e.g. topics in optimisation, forecasting and stochastic methods of operational research)

You also complete a project (60 credits): a sustained, independent investigation involving the application of statistical techniques to a specific problem.

To gain an MSc in Applied Statistics and Operational Research, you must satisfactorily complete the compulsory modules in Operational Research.

Start Date:


Duration & Attendance Qualification Tuition fees Fee type
2 years
Part Time
MSc £4,375 Home Fees
2 years
Part Time
MSc £7,425 Overseas Fees
1 year
Part Time
Postgraduate Certificate - PgCert £2,900 Home Fees
1 year
Part Time
Postgraduate Certificate - PgCert £4,950 Overseas Fees

Qualifications required:

  • A good upper 2nd Class degree or above, with mathematics or statistics as a main subject. Other degrees or professional qualifications may also be acceptable, such as the Birkbeck Graduate Certificate in Statistics or the Graduate Diploma of the Royal Statistical Society. If English is not your first language or you have not previously studied in English: IELTS Academic Test score of 6.5, with not less than 6.0 in each of the sub-tests.