Data Science & Informatics Abertay University

Award	Attendance	Study	Duration	Start	Domestic fees	International fees
PhD, MPhil, MSc by Research	On-Campus	Full-time, Part-time	1 - 6 years	February, June, October	£4407.00 year per	£14750.00 year per

Course overview

This is a potential research degree area, subject to the approval of the University. If you are interested in undertaking a research degree in this area, please make contact with the Dean to discuss your proposal.

Data Science & Informatics at Abertay University covers a wide range of applied and theoretical research. Our research looks at fields including Artificial Intelligence and Machine Learning, through to Data and Information Visualisation.

Data Science has found applications across industry sectors, with business seeking to generate value from data using artificial intelligence and machine learning. The full economic and societal benefits have yet to be reaped. These benefits are enormous, particularly when combined with other emergent technologies such as AR/VR for data driven design and production processes in key industries. Embedding AI across the UK will create thousands of high-quality jobs and drive economic growth.

A recent study found digital technologies including AI created a net total of 80,000 new jobs annually across a population similar to the UK. It is estimated that AI could add £232bn to the UK economy by 2030 (UK Government Industrial Strategy White Paper 2017).

Our application areas of Data Science are aligned with our key strengths in Games and Cyber Security. We are exploring how AI and neural networks can generate content for games, and how data analytics can improve the player experience.

We are also applying state of the art Machine Learning models for intrusion detection systems. Our expertise is broadening its reach into areas including health, community and social care. The majority of our research projects are rooted in client-facing, real-world problems faced by games companies, charities, innovation centres and more.

Our vibrant research culture encourages areas of cross- and inter-disciplinary working. An example of this is a collaboration between psychology and data science where data analytics are applied to understand how people learn through game-based learning.