Course Overview

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 in 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.

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

• data analyst

• data scientist

• statistical scientist

• statistician.

We offer a comprehensive Careers Service - Birkbeck Futures - 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.

General Eligibility

A second-class honors degree (2:2) or above with mathematics or statistics as the main subject.

Part Time Work Details

20 hours of work permit weekly for international students.

Language Requirement

• If English is not your first language or you have not previously studied in English, the requirement for this program 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.