Postgraduate study

Data Science, Technology & Innovation (Online Distance Learning)

Awards: MSc, PgDip, PgCert, PgProfDev

Study modes: Part-time Intermittent Study

Online learning

Funding available

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.

The 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.

You can study to an MSc, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.

Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.

Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.

You can study to an MSc, MSc with Medical Informatics specialism, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.

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.

Find out more about compulsory and optional courses

We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.

AwardTitleDurationStudy mode
MScData Science, Technology and Innovation6 YearsPart-time Intermittent StudyProgramme structure 2017/18
MScData Science, Technology and Innovation (Medical Informatics)6 YearsPart-time Intermittent StudyProgramme structure 2017/18
PgDipData Science, Technology and Innovation4 YearsPart-time Intermittent StudyProgramme structure 2017/18
PgCertData Science, Technology and Innovation2 YearsPart-time Intermittent StudyProgramme structure 2017/18

The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain.

This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.

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.

International qualifications

Check whether your international qualifications meet our general entry requirements:

English language requirements

All applicants must have one of the following qualifications as evidence of their English language ability:

  • an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration

  • IELTS Academic: total 6.5 with at least 6.0 in each component
  • TOEFL-iBT: total 92 with at least 20 in each section
  • PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
  • CAE and CPE: total 176 with at least 169 in each paper
  • Trinity ISE: ISE II with distinctions in all four components

Degrees taught and assessed in English must be no more than two and a half years old at the beginning of your degree programme. Language tests must be no more than two years old at the beginning of your degree programme.

Find out more about our language requirements:

  • College of Science and Engineering
  • The University of Edinburgh
  • Weir Building, Max Born Crescent
  • The King's Buildings Campus
  • Edinburgh
  • EH9 3BF

We encourage you to apply at least one month prior to entry so that we have enough time to process your application. If you are also applying for funding or will require a visa then we strongly recommend you apply as early as possible. We may consider late applications if we have places available, but you should contact the relevant Admissions Office for advice first.

(Revised 3 November 2017 to reflect a change in the programme deadline information).

Applications for our postgraduate taught programmes can be submitted at any time during the year, and will be evaluated as they are received. We will make a small number of offers to the most outstanding candidates on an ongoing basis, but hold the majority of applications until the next published selection deadline, when we will offer a proportion of the places available to applicants selected using both.

Applicants who are not made an offer at a specific selection deadline will either be notified that they have been unsuccessful in securing a place on the programme, or if they do not hear then they are still being considered and their application will be carried forward to the next selection deadline for further consideration at that time.

Applications which are received after our final selection deadline will be considered at our discretion, if there are still places available.

Selection deadlines

Round Deadline
1 7 December 2017
2 8 February 2018
3 19 April 2018

You must submit a reference with your application.

Find out more about the general application process for postgraduate programmes:

Further information

  • College of Science and Engineering
  • The University of Edinburgh
  • Weir Building, Max Born Crescent
  • The King's Buildings Campus
  • Edinburgh
  • EH9 3BF