Data Science, Technology and Innovation

Data Science, Technology and Innovation is a University-wide online learning postgraduate programme.

Demand is growing for high value data specialists with high level skills to turn stockpiles of information into knowledge for better decision making. 

Hosted by the College of Science and Engineering, Data Science, Technology and Innovation (DSTI) is a flexible, modular, online programme designed to fully equip tomorrow's data professionals, offering different entry points into the world of data science – with courses available across the University of Edinburgh in the sciences, medicine, arts and humanities. 

See the Programme page for further details. 

APPLY NOW!

Applications are now being accepted for the following suite of programmes for September 2018:

  • MSc in Data Science, Technology and Innovation
  • MSc in Data Science, Technology and Innovation with Specialism in Medical Informatics
  • PG Diploma in Data Science, Technology and Innovation
  • PG Certificate in Data Science, Technology and Innovation

Our modular courses are also offered as single courses with multiple start dates throughout the year. Enhance your career by taking up to 50 credits:

  • Postgraduate Professional Development (PPD) in Data Science, Technology and Innovation

How to Apply

McEwan Hall

Demand is growing for high value data specialists with high level skills to turn stockpiles of information into knowledge for better decision making.

The University's Old College Quad

Find out about the objectives of our programmes and the wide range of courses available across the sciences, medicine, arts and humanities when studying an MSc, PG Diploma, PG Certificate or Postgraduate Professional Development.

Register your interest in the programme and receive updates regarding programme development.

Applications are now being accepted for the full suite of programmes for September 2018.

Applications for the Postgraduate Professional Developement PPD courses can be made throughout the year.