Data Science at King's College London, University of London - UCAS

Course summary

The Data Science MSc provides advanced technical and practical skills in the collection, collation, curation and analysis of data. This is an ideal study pathway for graduates with a background in quantitative subjects, or who possess relevant work experience, who want to gain experience in current methods and techniques of data science. Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
  • 92 per cent of research outputs ranked as world leading or internationally excellent – confirming the department’s position as a world-class institution for research in Computer Science (REF 2014).


Entry requirements

A Bachelor’s degree with 2:1 (Upper Second Class) honours is required in one of the following subject areas: Computer Science, or Computing Mathematics, Pure Mathematics, Mathematical Statistics or Statistics Physics Natural Science Electronic Engineering Geographic Information Systems Operations Research In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

https://www.kcl.ac.uk/study/postgraduate/fees-and-funding
Data Science at King's College London, University of London - UCAS