The MSc Artificial Intelligence covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning, reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems.
You will learn how to engineer and evaluate AI systems and also engage in debates around the legal and ethical issues involved in the ethics of AI technology. The programme culminates with a research project, which you will undertake under the supervision of a member of staff and can also be undertaken with an external company or organisation. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems or comparing competing techniques or tools to solve a particular problem.
The skills and knowledge you will learn on this programme is shaped by the latest research in AI. The University of Aberdeen has over 30 years’ of experience, and a worldwide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems.
Our minimum entry requirement for this programme is a Computing Science degree at 2:2 (lower second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth).
Key subjects you must have covered: Python, Algorithmic problem solving and Data Structures. Programming experience in other languages, such as Java, C and C++, is recommended - but not required - to follow the courses taught in this programme.
Applicants with a 2:2 or equivalent in Engineering (e.g. Electronic/Electrical Engineering) will be reviewed by the selectors for suitability on a case-by-case basis.
Artificial Intelligence has become increasingly under the spotlight on the back of recent impressive advancements such as ChatGPT. The ever-increasing adoption of AI technology across all industry sectors means there is growing demand for people who can design, manage and direct the technology.
Core Modules:
Getting Started at the University of Aberdeen (PD5006)
Symbolic AI (CS502K)
Machine Learning (CS5062)
Evaluation of AI Systems (CS5063)
Applied Artificial Intelligence (CS5079)
Knowledge Representation and Reasoning (CS551J)
Software Agents and Multi - Agent Systems (CS551K)
Data Mining with Deep Learning (CS552J)
Natural Language Generation (CS551H)
MSc Project in Artificial Intelligence (CS5917)
Founded in 1495 by Bishop Elphinstone, the University of Aberdeen boasts 500 years of excellence, and has secured a position as a leading internationa...