The Artificial Intelligence MSc will prepare you for work developing intelligent software systems. You can choose to study a wide-range of topics such as: Agents & Multi-Agent Systems, Pattern Recognition, Neural Networks and Deep Learning, Artificial Intelligence Planning, Nature-Inspired Learning Algorithms, Philosophy & Ethics of Artificial Intelligence, and Data Mining. There is also the opportunity to explore a range of optional modules allowing you the freedom to develop your study pathway to reflect your interests. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.
Academic Requirements:
BSc or BEng with 2:1 honours in Engineering or other relevant subject e.g. physics, mathematics, computer science.
Applicants should also have :
1. a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory.
2. competence in computer programming to the level expected at the end of the first year of a BSc honours degree in computer science.
English Language requirements:
IELTS: 6.5 overall with a minimum of 6.0 in each skill
TOEFL: 92 overall with a minimum of 23 in writing and 20 in each of the other skills
PTE: 62 overall with a minimum of 59 in each communicative skill
| 序号 | 课程介绍 | Curriculum |
| 1 | 代理和多代理系统 | Agents & Multi-Agent Systems |
| 2 | 自然启发式学习算法 | Nature-Inspired Learning Algorithms |
| 3 | 模式识别，神经网络和深度学习 | Pattern Recognition, Neural Networks and Deep Learning |
| 4 | 人工智能的哲学与伦理 | Philosophy & Ethics of Artificial Intelligence |
| 5 | 人工智能规划 | Artificial Intelligence Planning |
| 6 | 数据挖掘 | Data Mining |
| 7 | 计算机视觉 | Computer Vision |
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