Course summary
This applied statistics course is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, interpretation of statistics, or modelling and forecasting time-dependent phenomena. It delivers a strong theoretical background but is also practically oriented to develop your ability to tackle new and non-standard problems with confidence. Why choose this course?
- This course offers you a comprehensive curriculum covering frequentist and Bayesian methods, statistical machine learning and advanced computational techniques.
- It has a favourable staff-student ratio to ensure high-quality teaching and support.
- It is accredited by the Royal Statistical Society, so that our graduates may be eligible to attain Graduate Statistician status.
- It is led by experienced statisticians and mathematicians with active research interests in theoretical and applied statistics.
- regression
- ANOVA
- generalised linear models along with an introduction to Bayesian modelling
- a wide variety of advanced computational statistics and machine learning methods.
- We have active research groups in Algorithms, Data Science and Artificial Intelligence, Logical Methods, and two research centres: Birkbeck Institute for Data Analytics and Birkbeck Knowledge Lab.
- You will have access to a wide range of study resources, including University of London seminar programmes in probability and statistics. Extensive computing facilities include PCs and UNIX platforms.
- You will be studying alongside a diverse group of passionate and enthusiastic students from various backgrounds, including professionals in data science, finance, economics and computer science.
- understand and apply computationally intensive statistical methodology
- abstract the essentials of a practical problem and formulate an appropriate statistical or mathematical model
- solve problems using an analytical and systematic approach
- understand advanced, abstract material
- learn independently
- develop self-motivation, time management and organisation.
- actuary
- data analyst
- data scientist
- economist
- financial manager
- financial risk analyst
- machine learning engineer
- operational researcher
- research scientist
- statistician.
Modules
For information about course structure and the modules you will be studying, please visit Birkbeck’s online prospectus.
Assessment method
Written examinations during the daytime in May/June, assessed coursework throughout the year. A project to be completed by 1 September.
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Statistical Society, Royal
How to apply
International applicants
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. If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses, foundation programmes and language support services to help you improve your English language skills and get your place at Birkbeck.
Entry requirements
A second-class honours degree (2:2) 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 for Data Science or the Graduate Diploma of the Royal Statistical Society. Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.
English language requirements
Fees and funding
Tuition fees
England | £5850 | Year 1 |
Northern Ireland | £5850 | Year 1 |
Scotland | £5850 | Year 1 |
Wales | £5850 | Year 1 |
International | £10170 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Birkbeck, University of London
Malet Street
Bloomsbury
London
WC1E 7HX
Course contact details
Visit our course pageBirkbeck Student Advice Service
0203 907 0700