Awards: MSc, PgDip, PgCert, PgProfDev
Study modes: Part-time Intermittent Study
Programme website: Data Science, Technology & Innovation (Online Distance Learning)
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.
Find out more about the compulsory and optional courses in this degree programme. We publish the latest available information for this programme. Please note that this may be for a previous academic year.
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 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 firstname.lastname@example.org. You may be admitted to certificate level only in the first instance.
Check whether your international qualifications meet our general entry 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
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:
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.
Find out more about tuition fees and studying costs:
Select your programme and preferred start date to begin your application.
|Programme start date||Application deadline|
|11 September 2017||1 September 2017|
We strongly recommend you submit your completed application as early as possible, particularly if you are also applying for funding or will require a visa. We may consider late applications if we have places available.