This is a potential research degree area, subject to the approval of Abertay University. If students are interested in undertaking a research degree in this area, please make contact with the Dean to discuss their proposal.
Data Science and Systems Modelling at Abertay University covers a wide range of areas at the interface between computer games and complex systems, including in physics, healthcare and the environment.
The overarching agenda is the construction of interactive, real-time and playable simulations in both entertainment and non-entertainment contexts that bring to life systems models through simulation, i.e., digital twins. This playability allows domain experts to investigate complex systems in an intuitive way and supports discovery of new insights. These simulations are underpinned by data-driven models, including AI, to make sense of large real-world data sets. The opportunities at the games-complexity interface are growing, for example how AI and neural networks can generate content for games, and how data analytics can improve the player experience, and research students working in this area have the potential to generate impact on challenging real-world problems.
Research in this field draws upon supervisory expertise from within the School of Design and Informatics, including academics with track record in mathematics, physics, artificial intelligence, games programming, and games industry experience.
The research at Abertay University is inherently cross-disciplinary and inter-disciplinary, which is of particular importance for research in immersive experiences. Abertay University is the lead partner for InGAME: Innovation for Games and Media Enterprise, an AHRC-funded R&D centre for Dundee’s games cluster. Postgraduate students at the University will have access to research and development opportunities, as well as contact with professionals working within the games industry.
Undertaking a research degree in Data Science and Systems Modelling at Abertay University will prepare students for a career not only in academia but also within wider society, working in complex problem spaces and using modelling and visualisation to unpack that complexity.
| Level | Masters |
| Discipline | Computer Science and IT |
| Duration | 12 months |
| Intakes | Feb, Jun, Oct |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 15750 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6.5 |
|---|---|
| TOEFL | 80 |
| PTE | Not Accepted |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 70%
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