新加坡
雅思申请时有效即可，已达标。
NTU 南洋理工大学
Master of Science (Computer Control & Automation) S$43,600 (including 9% GST) 计算机控制与自动化
https://www.ntu.edu.sg/education/graduate-programme/master-of-science-in-computer-control-automation#additionaiInformation
这个应该是最契合的专业，bar好像也不太高，但是录取时间不是很早
专业选修科目（学生须选修5门专业选修科目中至少选修4门）
| Course Code | Course Title | Course Content | AUs |
|---|---|---|---|
| EE6203 | COMPUTER CONTROL SYSTEMS | Discrete-time system modelling and analysis. Cascade compensation. State-space design methods. Optimal control. Design and implementation of digital controllers. | 3 |
| EE6204 | SYSTEMS ANALYSIS | Linear, Dynamic and Integer Programming. Optimization Techniques. Random Processes. Queuing Models. Markov Decision Process. | 3 |
| EE6221 | ROBOTICS & INTELLIGENT SENSORS | Overview of robotics. Motion planning and control. Mobile robots . Controller hardware/software systems. Sensor systems and integration. | 3 |
| EE6222 | MACHINE VISION | Fundamentals of image processing & analysis. Feature Extraction Techniques. Pattern / Object Recognition and Interpretation. Three- Dimensional Computer Vision. Three-Dimensional Recognition Techniques. Biometrics. | 3 |
| EE6225 | MULTIVARIABLE CONTROL SYSTEMS ANALYSIS & DESIGN | Basic control algorithms. Model Predictive Control. Multivariable control. Plant parameter estimation. Case studies in process control. | 3 |
可选？
- Master of Science (Mechanical Engineering)
- Master of Science (电)
NUS 新加坡国立大学
- 2024/6/13 NUS专业还没全出
MSc (Computer Engineering) – Machine Intelligence and Applications (MIA) Specialisation S$57,880.00 (including 9% GST) 机器智能与应用
https://masters.nus.edu.sg/programmes/master-of-science-(computer-engineering)/msc-(computer-engineering)---machine-intelligence-and-applications-specialisation
暂时只看了这个方案，但是我觉得难度应该很大。。。
我的本科专业叫“机器人和智能设备”，自然是合适的，但是这个我觉得我没GRE机会不大，然后NUS还有专业没出，所以只能先暂定
核心/基础课程
学生必须完成以下列表中至少两门课程（共 8 个学分），其中CEG5301机器学习与应用是必修课。
| Course Code | Course Title | Units |
|---|---|---|
| CEG5101 | Modern Computer Networking | 4 |
| CEG5201 | Hardware Technologies, Principles, & Platforms | 4 |
| CEG5301* | Machine Learning with Applications | 4 |