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- Professional Doctorate Data Science
Course options
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Qualification
Professional Doctorate
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Location
University of Stirling
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Study mode
Full time
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Start date
22-SEP-25
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Duration
36 months
Course summary
Overview
Our Professional Doctorate in Data Science is the first industrial doctorate of its kind, and is supported by The Data Lab innovation centre.
We build on Stirling’s highly successful taught MSc Data Science to equip you with a range of cutting-edge, interdisciplinary research and practical skills and tools, that will lead to an academic or industry job in the area of Data Science, with possible applications to sectors such as life-sciences, finance, engineering, computing, healthcare, fintech or business.
In addition to enhancing students’ employability through work-based learning, the doctorate prepares you to undertake interdisciplinary Data Science research, jointly supervised by world-leading Stirling academics and Data Science industry experts.
The Professional Doctorate consists of a one-year taught programme, based on Stirling MSc programmes in Data Science, and a two-year research programme, to be conducted in collaboration with an industrial partner around industry-relevant research questions. Students could be employees of the industrial partner looking for further training and qualification, or have already established a (potential) collaboration with an industrial partner willing to support the project.
Each of our MSc in Data Science or in Fintech may offer the opportunity to establish a suitable collaboration with an industrial partner, and then grant access to the second year of the Professional Doctorate in Data Science on a research programme agreed with the industrial partner.
Specific projects and collaborations can be considered on a case-by-case basis. An (in principle) agreement with an identified partner company is necessary for the research component of the program.
Course objectives
This professional/industrial doctorate is designed to:
- Equip professionals with the required multi-disciplinary skills, and underlying theoretical, practical and transferable knowledge, to undertake practitioner-oriented, impact-led research in data science.
- Give sound training in relevant practical, investigative, analytical and generic skills required for research in the area of data science.
- Experience of data science challenges and applications in a wide range of areas, such as business, healthcare, life science, fintech and scientific disciplines.
- Provide the opportunity to plan, undertake and prepare publication quality research.
Tuition fees
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£ 17,733per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
53rd
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Campus address
University of Stirling, University of Stirling, Stirling, Stirling, Stirling, FK9 4LA, United Kingdom
Subject rankings
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Subject ranking
59th out of 117 5
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Entry standards
/ Max 227151 67%32nd
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Graduate prospects
/ Max 10077.0 77%74th
5 -
Student satisfaction
/ Max 42.84 71%100th
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