A good upper second-class degree or above, with mathematics or statistics as a main subject.
Months of entry
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 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.
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. It proceeds from a strong theoretical background, but it is practically oriented to develop your ability to tackle new and non-standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.
All students are initially registered on the MSc Applied Statistics. After a common first year of core modules in theoretical and applied statistics, the second year allows you to orient your programme of studies towards your own particular interests and career objectives.
Information for international students
If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.
Qualification, course duration and attendance options
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Student Advice Service
- +44(0) 20 3907 0700