Data Science and Systems Modelling PhD; MPhil; MSc by Research
Dundee , United Kingdom
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Masters
Major
Data Science | Systems Analysis | Systems Design
Area of study
Information and Communication Technologies
Course Language
English
Intakes
Program start date | Application deadline |
2024-02-01 | - |
2024-06-01 | - |
2024-10-01 | - |
About Program
Program Overview
The Data Science and Systems Modelling research degree program at Abertay University explores the intersection of computer games and complex systems, utilizing data-driven models and large datasets. Potential career paths include academia, complex problem spaces, and modelling and visualization in various industries such as games, healthcare, and the environment.
Program Outline
Outline:
Data Science and Systems Modelling
is a research degree program offered by Abertay University. It covers a wide range of areas at the interface between computer games and complex systems, including physics, healthcare, and the environment.
Overarching Agenda:
- Construction of interactive, real-time, and playable simulations in both entertainment and non-entertainment contexts.
- Bringing complex systems models to life through simulation, i.e., digital twins.
- Enabling domain experts to investigate complex systems in an intuitive way.
- Supporting discovery of new insights.
Underpinning Technology:
- Data-driven models, including artificial intelligence (AI).
- Large real-world data sets.
Areas of Focus:
- How AI and neural networks can generate content for games.
- How data analytics can improve the player experience.
Potential Impact:
- Generating impact on challenging real-world problems.
Careers:
Potential Career Paths:
- Academia
- Complex problem spaces
- Modelling and visualization
Potential Work Settings:
- Wider society
- Games industry
- Healthcare
- Environment
- Physics
Career Impact:
- Unpacking complexity
- Addressing challenging real-world problems
Additional Notes:
- This research degree program is subject to the approval of the University.
- The program is cross-disciplinary and inter-disciplinary.
- Postgraduate students at the University will have access to research and development opportunities, as well as contact with professionals working within the games industry.
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Admission Requirements
- Academic Qualifications:
- Minimum: Upper Second Class Honours degree (or equivalent) at undergraduate level in an appropriate discipline, or a Master's degree.
- Other Considerations:
- Appropriate professional or experiential learning may be considered in combination with a lower classification of Honours degree.
- Specific Disciplines: The program does not specify a strict list of disciplines; however, having a background in mathematics, physics, artificial intelligence, games programming, or games industry experience would be beneficial.
- English Language Requirements:
- Undergraduate/Master's degree from a UKVI designated English-speaking country, or
- IELTS Academic: 6.5 overall with at least 6.0 in each component
- TOEFL-iBT: 92 overall with at least 20 in each component
- CAE/CPE: 176 overall with at least 169 in each component
- Trinity ISE II: Distinctions in all four components
- PTE Academic: 62 overall with at least 59 in each component
- NECO/WAEC English at B (4)
- Degree no older than 3.5 years old (unless using English language tests, then no older than 2 years). Specific requirements may vary depending on the individual applicant's qualifications and background.
Language Proficiency Requirements:
The program specifies the following English language proficiency requirements:
- IELTS Academic: 6.5 overall with at least 6.0 in each component
- TOEFL-iBT: 92 overall with at least 20 in each component
- CAE/CPE: 176 overall with at least 169 in each component
- Trinity ISE II: Distinctions in all four components
- PTE Academic: 62 overall with at least 59 in each component
- NECO/WAEC English at B (4)
Location