新加坡国立大学-21秋-Master of Technology in Intelligent Systems
分类:院校介绍2020-11-01
The NUS Master of Technology in Intelligent Systems programme is targeted at working professionals who wish to be able to design and build systems that utilise Artificial Intelligence and other Smart Systems techniques. Application areas are wide and diverse, and include robotics, autonomous vehicles, intelligent sensing systems, Internet of Things, Smart City applications and Industry 4.0 applications, as well as applications within business and commerce.
The MTech IS programme emphasises the concepts, techniques and methods of Artificial Intelligence, and their application to the development of Intelligent Systems applications. The programme provides you with the essential knowledge and practical experience needed to become an Artificial Intelligence and Intelligent Systems specialist, and prepares you to be able to lead the development of Intelligent Systems in providing effective and optimal business solutions for your organisation.
课程设置
Courses:
- Machine Reasoning
- Cognitive Systems
- Reasoning Systems
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- Problem Solving using Pattern Recognition
- Intelligent Sensing and Sense Making
- Pattern Recognition and Machine Learning Systems
- Vision Systems
- Spatial Reasoning from Sensor Data
- Real Time Audio-Visual Sensing and Sense Making
A central element of the MTech programme is the project module.
Student projects for MTech IS students extend over a period of three months for full-time students and one year for part-time students. Full-time students are allowed to conduct their project as a team-based internship if desired. The expected commitment for the project is 60 man-days per team member.
Objectives
- Acquire hands-on experience in defining and analysing the knowledge and data requirements of real-world business problems
- Plan and strategise high-value intelligent systems projects to provide identifiable benefits to the internship company
- Design, develop and implement Intelligent Systems through the effective use of Artificial Intelligence and Knowledge Engineering tools and techniques
Admission & Application
Applicants must possess the following pre-requisites:
- Bachelor's degree preferably in Science or Engineering and a grade point average of at least B
- Proficiency in the English Language (written and spoken)*
- Have passed an entrance test
- NUS-ISS may, at its discretion, accept GRE general test in lieu of NUS-ISS entrance test in genuine cases e.g. a candidate lives in a country where NUS-ISS does not administer entrance tests or candidate had valid reasons that prevented him/her from attending the NUS-ISS entrance test when it was administered
- A sample of the entrance test can be found here
- Preferably two years relevant working experience
- As an IT professional, such as software developer, business analyst, or as a domain expert, working in an area where Intelligent Systems and Knowledge Engineering can be applied
- Candidates with highly relevant IT degrees, with consistently good academic records and good practical software development knowledge gained either through course work, course projects or professional IT certifications, may be granted a work experience waiver
- Have received a favourable assessment at admissions interview conducted by NUS-ISS
There is opportunity in Singapore for most areas of IT. What you learn in terms of IT skills is not as important as what you do with it. It is the attitude and the ability to learn from mistakes, and to contribute back to the company that you work for that is likely to make more of a difference than specific IT skills.
There are two main paths for advancement in IT - either technical or management. Technical means you continue to deepen your technical area in a domain (such as system architecture, or software engineering, etc.) and you become an expert in those areas. The other is management, where you can focus on project management, outsourcing, etc.
Our internship companies often tell us that if we can give them good students as interns, it is very likely they will get a job offer at the end of the internship.
As an MTech IS graduate, you will be trained to become an Artificial Intelligence and Knowledge Engineering and data analytics specialist, leading the development of Intelligent Systems to provide smart business solutions for organisations.
Career Prospects
- Artificial Intelligence Specialist
- Machine Learning Specialist
- Intelligent Systems Specialist
- Robotic Systems Developers
- Autonomous Vehicle Systems Developers
- Vision and Sensing Systems Developers
- A.I. Business System Developers
- Intelligent Process Automation Developers
- Intelligent Healthcare System Developers
- Smart City Applications Developers
- Language System Engineers
- Text Mining / Analytics Specialist
- Big Data Developers
- Games Developers
MTech alumni are pursuing their careers at these global organisations:
- Accenture
- Creative Technology
- DBS Bank
- Defence Science & Technology Agency
- Deutsche Bank AG
- Fuji Xerox Asia Pacific
- HP Singapore
- IBM Singapore
- Infocomm Development Authority of Singapore
- Inland Revenue Authority of Singapore
- Jurong Port
- Microsoft
- Murex
- NCS
- NEC Asia Pacific
- OCBC Bank
- Revolution Analytics
- Singapore Telecommunications
- Standard Chartered Bank
- Starhub
- ST Electronics
- Tata Consultancy Services
