Data Science University of Stirling

General requirements

Students applying may have a variety of backgrounds including:

• numerate and computational degrees (computing, mathematics, physics, engineering)
• medical/clinical, business, marketing or economics background, plus some relevant work (industrial or commercial) experience

Students may also come from other science or engineering backgrounds, to gain applied research and analytical skills that are in high demand in the Scottish job market.

• Students with suitable research-oriented Masters degrees in numerate and computational disciplines (computing, mathematics, physics, engineering), will be considered for direct entry to the second year of the Doctoral Training Component, on a case-by-case basis.
• An established, in-principle or under-discussion agreement with an industrial partner interested in collaborating and supporting the research component of the programme should be in place.