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- University of Aberdeen
14 Master's degrees offered by the university
Secondary Education with Computing Science
Spark a passion for STEM in the next generation of learners to help them discover a world of possibilities and develop essential skills to unlock their future careers.
Business Analytics
The University of Aberdeen's Business Analytics programme aims to help professionals optimize business performance through data-driven decision-making.
Data Science
The University of Aberdeen offers a Master of Science (MSc) in Data Science, designed for full-time study over a duration of 12 to 16 months. This programme is available in both on-campus and online formats, catering to a diverse range of academic backgrounds. Students can commence their studies in either January or September.
Health Data Science
The MSc in Health Data Science at the University of Aberdeen is a 12 to 24-month programme designed for both healthcare and computational professionals. This course offers part-time and online attendance options, equipping students with essential skills in health data analysis and research methodologies, guided by an interdisciplinary academic team.
Geographical Information Systems
Over 25 years of excellence in postgraduate teaching of remote sensing, GIS, visualisation, digital mapping and cartography. The Geographical Information Systems programme of the University of Aberdeen is a flexible programme which has been designed to suit the needs of all learners. The degree has both a September and January start date.
Information Technology
The Information Technology programme of the University of Aberdeen is a suitable programme for individuals with, or without a computing science background.
Geographical Information Systems
Prepare for a career in the innovative field of Geographical Information Systems (GIS) with the Geographical Information Systems programme of the University of Aberdeen. Build your skills in this essential area of the world’s information infrastructure.
Data Science and Business Management
This Data Science and Business Management, M.Sc. course from University of Aberdeen is designed to bridge the gap between data science and business management through an interdisciplinary approach that equips you with the critical business and data science skills necessary to establish or lead successful data science teams or enterprises.
Industrial Robotics
The Industrial Robotics programme of the University of Aberdeen applies fundamental principles from engineering and computer science to the understanding and development of robotics technologies for sectors as diverse as manufacturing, energy, transport, logistics and healthcare.
Cybersecurity
Cybersecurity professionals need core skills that are flexible, adaptable, and extensible from small to large infrastructures. The Cybersecurity programme of the University of Aberdeen provides you with the necessary tools to build and improve these core skills.
Cybersecurity and Machine Learning
This Cybersecurity and Machine Learning programme at the University of Aberdeen focuses on two key areas: securing AI systems to ensure they are robust, responsible, and regulatory-compliant and using AI to enhance cybersecurity methods against complex threats.
Artificial Intelligence
Artificial Intelligence (AI) is changing how we live, work and socialise. The Artificial Intelligence programme of the University of Aberdeen will expose you to all aspects of AI, from its fundamentals to cutting edge techniques, enabling you to work in this dynamic, fast-moving field.
Information Technology with Cybersecurity
Drawing on the University's expertise in both Information Technology with Cybersecurity, this conversion programme at the University of Aberdeen is aimed at preparing graduates from a non-computing science background for a career as a software developer or IT professional with enhanced knowledge of network and information security.
Computing Science
The Computing Science programme of the University of Aberdeen is investigating Intelligent Systems, Machine Learning and Security with Big Data.