MSc (Industry 4.0)
所属信息
基本信息
项目时长
12-18 Months(Full-time); 18-36 Months(Part-time)项目学分
40 units学费估算
56135申请截止日期
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秋季
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常规
1/31(International applicants); 2/28or29(Singapore Citizens and Singapore Permanent Residents applicants)
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其他
申请信息
申请费
50TOEFL要求
85.00
IELTS要求
6.00
成绩单寄送要求
网申上传
推荐信要求
Not Required
Prerequisite
Bachelor's Degree (preferably with Honours) in Science, Engineering, Computing, Analytics or equivalent disciplines 工科背景优先/有编程基础
不符合背景的GPA3.5+ case by case
WHAT COURSES MUST I TAKE TO MEET THE PROGRAMMING ADMISSION REQUIREMENTSFOR THIS PROGRAMME?
This requirement applies on a case-by-case basis to applicants without programming experience. Suchapplicants may be asked to complete the following courses:
www.edx.org/course/introduction-to-python-fundamentals-4
www.edx.org/course/introduction-to-python-absolute-beginner-4
These free online courses are offered by EdX, a third-party platform for education and learning, and willtake approximately five weeks to complete (with three-to-four hours’ commitment each week).
不符合背景的GPA3.5+ case by case
WHAT COURSES MUST I TAKE TO MEET THE PROGRAMMING ADMISSION REQUIREMENTSFOR THIS PROGRAMME?
This requirement applies on a case-by-case basis to applicants without programming experience. Suchapplicants may be asked to complete the following courses:
www.edx.org/course/introduction-to-python-fundamentals-4
www.edx.org/course/introduction-to-python-absolute-beginner-4
These free online courses are offered by EdX, a third-party platform for education and learning, and willtake approximately five weeks to complete (with three-to-four hours’ commitment each week).
申请材料
面试邀请 单发
适宜学生
- Develop the breadth and depth of skillsets that define Industry 4.0 talent—and be a professional who can synergise technological smarts with business and operational know-how.
将技术与商业/运营等相结合
- Get acquainted with cutting-edge technologies and tools (e.g. artificial intelligence and virtual/augmented reality) that will transform work and industries in the fourth industrial revolution.
沾边儿人工智能
- Grab the opportunity to excel in a range of Industry 4.0 jobs such as Knowledge Analysts, Solutions Architects and Industrial User Experience/User Interface (UX/UI) Designers.
应用多领域 eg.知识分析师，解决方案架构师和工业用户体验/用户界面(UX/UI)设计师
将技术与商业/运营等相结合
- Get acquainted with cutting-edge technologies and tools (e.g. artificial intelligence and virtual/augmented reality) that will transform work and industries in the fourth industrial revolution.
沾边儿人工智能
- Grab the opportunity to excel in a range of Industry 4.0 jobs such as Knowledge Analysts, Solutions Architects and Industrial User Experience/User Interface (UX/UI) Designers.
应用多领域 eg.知识分析师，解决方案架构师和工业用户体验/用户界面(UX/UI)设计师
特点
课程设置：
The NUS MSc (Industry 4.0) is a 40-Unit coursework-based Master’s Degree programme comprising:
- Core/essential courses (20 Units), and
Core/Essential Courses
These courses are unique to the NUS MSc (Industry 4.0) programme. Eachconsists of a 130-hour workload with pre-class readings, assignments, testsand/or projects, and online/face-to-face classes.
VIEW COURSES
-IND5001 Introduction to Industry 4.0 andApplications 4
-IND5002 Digital-Physical Integration in Industry 4.0 4
-IND5003 Data Analytics for Sense-making 4
-IND5004 Digital Infrastructure and Transformation 4
-IND5005A Professional Career Development 0.5
-IND5005/IND5005B* Industry Consulting and Application Project 4/3.5
Elective courses (20 Units).
Graduate Certificates
-Statistics for Data Science (NUS Faculty of Science) 8
-Computing Foundations ll (NUS School of Computing) 12
-Digital Business (NUS School of Computing) 12
-Digital Supply Chain (NUS Business School) 12
-Financial Management and Analytics (NUS Business School) 12
-Intelligent Sensing Systems (NUS Institute of Systems Science) 10
-Pattern Recognition Systems (NUS Institute of Systems Science) 13
-Intelligent Software Agents (NUS Institute of Systems Science) 10
-Intelligent Robotic Systems (NUS Institute of Systems Science)13
Quality Assurance and Yield Optimisation (NUS Faculty ofScience) 8
Internet of Things (NuS College of Design and Engineering) 10
Robotics and Automation (NUS College of Design andEngineering) 10
The programme also features a six-month-long capstone project, where a team of students work on a project sponsored by an actual company. Capstone projects may span different areas, including Internet of Things (IOT), data analytics across various sectors, digital supply chain, and cloud computing.
职业发展方向
制造和业务流程的数字化，以提高生产力，提高效率，实现新的销售增长点
The MSc (Industry 4.0) programme aims to nurture a generation of change-makers and leaders who are capable of taking prominent roles in shaping how organisations and society will respond to the latest industrial revolution, which focuses on the digitalisation of manufacturing and business processes to increase productivity, improve efficiency, and develop new sales opportunities.
The curriculum for the programme is aligned to the Smart Industry Readiness Index (SIRI), which was created by the Economic Development Board (EDB) to help manufacturers on their transformation journeys as part of Singapore’s drive towards becoming a Smart Nation. Because of this, graduates of the programme can expect to be prepared for a breadth of careers in a range of different fields, even as Industry 4.0 continues to gather pace.
Some of the top careers enjoyed by current students and graduates of the programme include:
- Control Systems Engineer
- Automation Engineer
- Validation Engineer
- Equipment Systems Engineer
- Data Scientist
- Robotics Engineer
- PLC Programmer
- Systems Integrator
- IT Solution Architect
- UI and UX Designer
- Project Manager
- App Developer
The NUS MSc (Industry 4.0) is a 40-Unit coursework-based Master’s Degree programme comprising:
- Core/essential courses (20 Units), and
Core/Essential Courses
These courses are unique to the NUS MSc (Industry 4.0) programme. Eachconsists of a 130-hour workload with pre-class readings, assignments, testsand/or projects, and online/face-to-face classes.
VIEW COURSES
-IND5001 Introduction to Industry 4.0 andApplications 4
-IND5002 Digital-Physical Integration in Industry 4.0 4
-IND5003 Data Analytics for Sense-making 4
-IND5004 Digital Infrastructure and Transformation 4
-IND5005A Professional Career Development 0.5
-IND5005/IND5005B* Industry Consulting and Application Project 4/3.5
Elective courses (20 Units).
Graduate Certificates
-Statistics for Data Science (NUS Faculty of Science) 8
-Computing Foundations ll (NUS School of Computing) 12
-Digital Business (NUS School of Computing) 12
-Digital Supply Chain (NUS Business School) 12
-Financial Management and Analytics (NUS Business School) 12
-Intelligent Sensing Systems (NUS Institute of Systems Science) 10
-Pattern Recognition Systems (NUS Institute of Systems Science) 13
-Intelligent Software Agents (NUS Institute of Systems Science) 10
-Intelligent Robotic Systems (NUS Institute of Systems Science)13
Quality Assurance and Yield Optimisation (NUS Faculty ofScience) 8
Internet of Things (NuS College of Design and Engineering) 10
Robotics and Automation (NUS College of Design andEngineering) 10
The programme also features a six-month-long capstone project, where a team of students work on a project sponsored by an actual company. Capstone projects may span different areas, including Internet of Things (IOT), data analytics across various sectors, digital supply chain, and cloud computing.
职业发展方向
制造和业务流程的数字化，以提高生产力，提高效率，实现新的销售增长点
The MSc (Industry 4.0) programme aims to nurture a generation of change-makers and leaders who are capable of taking prominent roles in shaping how organisations and society will respond to the latest industrial revolution, which focuses on the digitalisation of manufacturing and business processes to increase productivity, improve efficiency, and develop new sales opportunities.
The curriculum for the programme is aligned to the Smart Industry Readiness Index (SIRI), which was created by the Economic Development Board (EDB) to help manufacturers on their transformation journeys as part of Singapore’s drive towards becoming a Smart Nation. Because of this, graduates of the programme can expect to be prepared for a breadth of careers in a range of different fields, even as Industry 4.0 continues to gather pace.
Some of the top careers enjoyed by current students and graduates of the programme include:
- Control Systems Engineer
- Automation Engineer
- Validation Engineer
- Equipment Systems Engineer
- Data Scientist
- Robotics Engineer
- PLC Programmer
- Systems Integrator
- IT Solution Architect
- UI and UX Designer
- Project Manager
- App Developer
