Taught course

Data Science, Technology and Innovation (online distance learning)

University of Edinburgh · College of Medicine and Veterinary Medicine

Entry requirements

A UK 2:1 honours degree or its international equivalent, or a medical degree (MBChB or equivalent).

Relevant work experience may be considered. Please contact us to check whether your experience will be considered by emailing datascience@ed.ac.uk. You may be admitted to certificate level only in the first instance.. All applicants must also meet our English language requirements.

Months of entry

January, September, April

Course content

Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique modular online distance learning programme is to enhance existing career paths with an additional dimension in data science.

You can study to Postgraduate Certificate or Postgraduate Professional Development level. It is anticipated that a PG Diploma and MSc will be offered in the future.

This modular online distance learning programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities.

Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.

Programme Structure

For the Postgraduate Certificate (PgCert), students must successfully complete a total of 60 credits: Practical Introduction to Data Science (20 credits), and 40 credits from Modular Group A.

For the Postgraduate Professional Development (PgProfDev), students may take a maximum of 50 credits from Modular Group A. These credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert.


Modular Group A:

  • Engaging with Digital Research (10 credits)
  • Managing Digital Influence (10 credits)
  • Social Shaping of Digital Research (10 credits)
  • Technologies of Civic Participation (10 credits)
  • Understanding Data Visualisation (10 credits)
  • The Use and Evolution of Digital Data, Analysis and Collection Tools (10 credits)
  • Introduction to Vision and Robotics (10 credits) (Provisional)
  • Advanced Vision (10 credits) (Provisional) (We recommend you take Introduction to Vision and Robotics before taking Advanced Vision.)
  • Practical Introduction to High Performance Computing (20 credits)
  • Practical Introduction to Data Science (20 credits)

Information for international students

To find out about the support offered to International Students at Edinburgh from arrival to graduation visit website.

Fees and funding

Visit Scholarships and Student Funding Services.

Qualification and course duration


12 months
distance learning
12 months

Course contact details

Marjorie Dunlop
0131 651 7865