The Data Lab Scholarships
We are offering fully funded places on a selection of on-campus Masters courses in partnership with The Data Lab and the Scottish Funding Council.
Key facts
Fee status
Your country/region
Level
Postgraduate (taught)
Number of awards
5
Value of awards
Deadline
The Data Lab is Scotland's innovation centre for data and has a mission to maximise the value that Scotland gets from data. It facilitates partnerships between industry and academia, supporting data science projects as well as funding and running first class, education programmes.
These scholarships are available to students studying on one of the following on-campus postgraduate masters courses at the University of Stirling:
- MSc Business Analytics
- MSc Data Science for Business
- MSc Financial Technology (Fintech)
- MSc Mathematics and Data Science
- MSc Artificial Intelligence
- MSc Big Data
Each scholarship covers tuition fees up to £6,000; if the fee for your chosen course is higher, the University will cover the remaining cost of the tuition fee.
Find out more about information on The Data Lab scholarships.
Eligibility and availability
The funded places are open to applicants domiciled in Scotland. To apply for a funded place you must have applied for one of the courses listed above, and have been made an
To meet the eligibility criteria, only applicants who have the right to live and work in the
How to apply
If you wish to be considered for a Data Lab funded place, you are required to apply to your course of interest by 27 November 2023. Applications will be reviewed by the respective Course Directors and will be based on merit.
Eligible applicants will be contacted with further information and relevant application instructions from The Data Lab. The deadline for applying through The Data Lab is 7 December 2023. You will be informed about the outcome of your application directly by The Data Lab in due course.
The respective Course Directors are:
- MSc Business Analytics: Dr Tom Kane - t.b.kane@stir.ac.uk
- MSc Data Science for Business: Dr Najib Murad - a.n.murad@stir.ac.uk
- MSc Financial Technologies: Dr Andrea Bracciali - andrea.bracciali@stir.ac.uk
- MSc Mathematics and Data Science: Dr Anya Kirpichnikova - anya@cs.stir.ac.uk
- MSc Artificial Intelligence: Dr Sandy Brownlee - alexander.brownlee@stir.ac.uk
- MSc Big Data: Dr Sandy Brownlee - alexander.brownlee@stir.ac.uk