Taught course

Statistics for Data Science

Birkbeck, University of London · School of Computing and Mathematical Sciences

Entry requirements

An undergraduate degree with some introductory statistics as part of it plus A-level mathematics (or equivalent).

Some combination of the Birkbeck modules Calculus 1 and/or Probability and Statistics, each of which must be passed with a mark of at least 60, may be offered in lieu of parts of the standard entry criteria. These modules can be studied at a fee which is pro rata that of the BSc Mathematics. A student application link can be sent to you upon request.

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.

Months of entry


Course content

Our Graduate Certificate in Statistics for Data Science introduces you to methods for the practical implementation of various types of statistical analysis, firmly grounded within the context of the underlying statistical theory and associated mathematics.

It is ideal if you are looking to upskill quickly in the theoretical underpinnings and practical implementation of the kinds of statistical analysis that are often required in the practice of data science.

It will give you the confidence to ask the right questions when presented with a statistical analysis to check through, and to carry out such an analysis by yourself using a high-level statistical programming language.

The philosophy that underpins the training given on this course is that of being both rigorous and applied. You will gain an understanding of some of the main statistical methods that are used in data science and will be able to apply these techniques to the analysis of real-world data sets. You will gain a thorough grounding in the use of R.

The course regularly attracts students from a wide range of backgrounds and professions, such as banking, dentistry, investment fund management, local and central government, medicine, retail and teaching. A number of entrepreneurs have gone on to successfully found and run their own statistical consultancies.


  • A quick way to upskill in the theoretical underpinnings and practical implementation of the statistical analysis required in a large number of data science settings. Rigour, attention to detail, and nuance in particular, are strongly emphasised within the course.
  • Ideal as a way to top up existing knowledge, as preparation for further graduate study or as a stand-alone course.
  • The course can be used as an entry qualification onto our MSc Applied Statistics courses if you have a first degree in a different field and need to gain the requisite expertise in statistical science and mathematics.
  • Our researchers in this area regularly offer insight and expertise to inform business, contribute to economic success and develop groundbreaking technologies. Read more about our research.
Careers and employability

Graduates can pursue career paths in data collection, research, and analysis, modelling and forecasting. Possible professions include:

  • data analyst
  • data scientist
  • statistical scientist
  • statistician.

We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at Birkbeck and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.

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.

If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.

Qualification, course duration and attendance options

  • GradCert
    part time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Student Advice Service
+44 (0)20 3907 0700