Course summary
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.
Entry requirements
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. English level: Level 1
Fees and funding
Tuition fees
No fee information has been provided for this course
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
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
UCL (University College London)
Gower Street
London
WC1E 6BT