Postgraduate study

Data Science, Technology and Innovation (Online Learning) MSc, PgDip (ICL), PgCert (ICL), PgProfDev

Awards: MSc, PgDip (ICL), PgCert (ICL), PgProfDev

Study modes: Part-time Intermittent Study

Online learning

Funding opportunities

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.

Studying online at Edinburgh

Find out more about the benefits and practicalities of studying for an online degree:

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 InnovationUp to 6 YearsPart-time Intermittent StudyProgramme structure 2019/20
PgDip (ICL)Data Science, Technology and InnovationUp to 4 YearsPart-time Intermittent StudyProgramme structure 2019/20
PgCert (ICL)Data Science, Technology and InnovationUp to 2 YearsPart-time Intermittent StudyProgramme structure 2019/20

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.

Prof Dave Robertson (Head of CSE), Introduction to Data Science, Technology and Innovation programme

Dr Areti Manataki (Senior Researcher in the School of Informatics), Introduction to Medical Informatics course

A UK 2:1 honours degree, or its international equivalent, or a medical degree (MBChB or equivalent), with evidence of quantitative and programming skills.

Applicants need to have SQA Higher or GCE A-level Mathematics equivalent, and preferably some maths classes taken at undergraduate level and some experience of computer programming (e.g. C, Fortran, Java, Python, R). Please note that basic web-based programming (PHP, JavaScript, HTML) is not sufficient.

Relevant work experience may be considered. If you plan to apply on this basis please include a detailed CV. Your application's supporting statement should include details of how your professional background demonstrates your ability to undertake the programme. If you are unsure if you have relevant work experience please contact us by emailing datascience@ed.ac.uk. You may be admitted to certificate level only in the first instance.

(*Revised 1 October 2019 to correct the published requirements. Updated to include quantitative and programming skills and A-level Mathematics, or equivalent.)

International qualifications

Check whether your international qualifications meet our general entry requirements:

English language requirements

You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.

English language tests

We accept the following English language qualifications at the grades specified:

  • 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 Academic: 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

Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS, TOEFL, PTE Academic or Trinity ISE, in which case it must be no more than two years old.

Degrees taught and assessed in English

We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:

We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries.

If you are not a national of a majority English speaking country, then your degree must be no more than three and a half years old at the beginning of your programme of study.

Find out more about our language requirements:

There are additional costs for the Introduction to Vision and Robotics and Advanced Vision courses. Details can be found in the course descriptors within the programme codes listed above in Programme Structure.

AwardTitleDurationStudy mode
MScData Science, Technology and InnovationUp to 6 YearsPart-time Intermittent StudyTuition fees
PgDip (ICL)Data Science, Technology and InnovationUp to 4 YearsPart-time Intermittent StudyTuition fees
PgCert (ICL)Data Science, Technology and InnovationUp to 2 YearsPart-time Intermittent StudyTuition fees
PgProfDevData Science, Technology and InnovationUp to 2 YearsPart-time Intermittent StudyTuition fees

Search for scholarships and funding opportunities:

  • Bayes Centre
  • The University of Edinburgh
  • 47 Potterrow
  • Central Campus
  • Edinburgh
  • EH8 9BT

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.

You must submit one reference with your application.

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

Further information

  • Bayes Centre
  • The University of Edinburgh
  • 47 Potterrow
  • Central Campus
  • Edinburgh
  • EH8 9BT