Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Data science brings together computational and statistical skills for data-driven problem solving. This programme will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.
The programme combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. Students will take one compulsory module and up to two additional modules in computer science, with the remaining modules (including the research project) taken mainly from within statistical science.
Who this course is for
The programme is accessible to students with undergraduate degrees in a related quantitative discipline (such as mathematics, statistics, economics, actuarial science), who wish to gain advanced training in statistical analysis and computation to enable them to enter specialist employment or academic research.
A minimum of an upper second-class Bachelor’s degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level is expected, along with evidence of familiarity with introductory probability, statistics and computer programming. Prior experience in a high-level programming language (e.g. R/matlab/python) is a requirement. Relevant professional experience will also be taken into consideration.
For fees and funding options, please visit website to find out more
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt to rapidly evolving challenges.
Employability
Graduates from UCL Statistical Science typically enter professional employment across a broad range of industry sectors or pursue further academic study.
Areas of employment include IT, Technology and Telecoms, and Accountancy and Financial Services with graduates securing positions with a range of employers including Deloitte and Huawei.
Compulsory modules
Optional modules
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change.
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