Data Science, Technology & Innovation (MSc, Online)

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, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.

For the MSc programme, students must successfully complete a total of 180 credits: Practical Introduction to Data Science (20 credits), the Dissertation Project (60 credits) plus 100 credits from the list of courses below.

For the MSc with specialism in Medical Informatics, students must successfully complete a total of 180 credits: Medical Informatics (10 credits), Research and Evaluation in eHealth (10 credits), the Dissertation Project (60 credits) plus 100 credits from the list of courses below. Students wishing to study the MSc with specialism in Medical Informatics should apply for the standard MSc in Data Science, Technology and Innovation and contact the Programme Administrator to discuss the specialism.

For the Postgraduate Diploma (PgDip), students must successfully complete a total of 120 credits: Practical Introduction to Data Science (20 credits) plus 100 credits from the list of courses below.

For the Postgraduate Certificate (PgCert), students must successfully complete a total of 60 credits: Practical Introduction to Data Science (20 credits) plus 40 credits from the list of courses below.

For the Postgraduate Professional Development (PPD), students may take a maximum of 50 credits from the list of courses below. 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.

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 an appropriate and acceptable professional qualification to level 10 or above on the SCQF framework or equivalent.

For applicants entering at year two of the programme:

  • A professional Accounting qualification equivalent to level 11 on the SCQF framework (or equivalent framework) and holding current membership of an internationally recognised professional accounting organisation which is associated with IFAC (International Federation of Accountants)

We may also consider your application if you hold a professional accounting qualification, but do not hold current membership of an internationally recognised professional accounting organisation, if you can demonstrate up to date continuous professional development (CPD) requirements of a recognised professional accounting organisation.

We may also consider your application if you do not hold a professional accounting qualification but do hold a relevant professional qualification equivalent to level 11 on the SCQF framework or equivalent.

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: total 7.0 (at least 6.0 in each module)
  • TOEFL-iBT: total 100 (at least 20 in each module)
  • PTE(A): total 67 (at least 56 in each of the “Communicative Skills” sections)
  • CAE and CPE: total 185 (at least 169 in each module)
  • Trinity ISE: ISE III with a pass 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:

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