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. Data and AI is one of five interdisciplinary research priorities for the University of Aberdeen and the department has strong links with the University's Centre for Data and Artificial Intelligence .
The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.
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.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 2 位 | 帝国理工学院Imperial College London | 1年 | 48300英镑/年 |
| 第 11 位 | 香港大学The University of Hong Kong | 1.5年 | 280000港币/年 |
| 第 12 位 | 南洋理工大学Nanyang Technological University | 1年 | 65749新币/年 |
| 第 18 位 | 香港中文大学The Chinese University of Hong Kong | 1.5年 | 263334港币/年 |
| 第 33 位 | 香港科技大学The Hong Kong University of Science and Technology | 1年 | 400000港币/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 47680英镑/年 |
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 42900英镑/年 |
| 第 40 位 | 曼彻斯特大学The University of Manchester | 1年 | 41400英镑/年 |