Programme at a Glance
Intake and Application
Overview
The National University of Singapore (NUS) Master of Science (Smart Industries and Digital Transformation), formerly Master of Science (Industry 4.0), is a multidisciplinary graduate degree programme that taps on the deep expertise of six NUS academic units in areas pertinent to Industry 4.0:
The programme aims to prepare graduates for the emerging workplace of the fourth industrial revolution (also known as Industry 4.0), by equipping them with the skills and knowledge they need to keep pace with the changes occurring in various industries (particularly manufacturing) due to technological disruption, and to lead transformation to enhance productivity in the workplace.
The MSc (Smart Industries and Digital Transformation) programme incorporates learning opportunities both inside the classroom and out in the industry. A key component of the programme is the core Capstone Project Course, which enables students to apply all their learnings in collaboration with a sponsoring company to produce a prototype, minimum viable product or innovation solution.
The MSc (Smart Industries and Digital Transformation) curriculum is specifically designed in accordance with the Singapore Economic Development Board (EDB) Singapore Smart Industry Readiness Index. It is intended to further aid companies in transforming their capabilities through their human capital, and support Singapore’s drive towards becoming a Smart Nation.
The MSc (Smart Industries and Digital Transformation) has also been identified to be offered as a Concurrent Degree Programme to NUS undergraduate students to help upscale their employability by equipping them with additional skills critical and necessary for rapid industry transformation.
Why This Programme?
Develop the breadth and depth of skillsets that defines an Industry 4.0 talent—and be a professional who can synergise technological smarts with business and operational know-how.
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.
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.
Application Period
An Academic Year (AY) at NUS consists of two semesters and a special term (which occurs during the Semester 2 Vacation, and is divided into two parts of six weeks duration each):
For the MSc (Smart Industries and Digital Transformation) programme, there is one application period for each AY:
| Programme | Intake | Application Dates |
|---|---|---|
| MSc (Smart Industries and Digital Transformation) | Semester 1 (Aug Intake) | 1 Nov of preceding year to 31 Jan of intake year |
Admission to the NUS MSc (Smart Industries and Digital Transformation) programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:
| Academic | Bachelor's Degree (preferably with Honours) in Science, Engineering, Computing, Analytics or equivalent disciplines Note: Candidates with academic qualifications other than the above (e.g., completed Graduate Certificate(s) stackable towards MSc (Smart Industries and Digital Transformation) programme within the last 5 years with a minimum GPA of 3.5) may be considered on a case-by-case basis, subject to approval by the department. Candidates are advised to submit a request along with their official NUS transcript during application. Please note that granting of Advanced Placement Credits (APCs) is not allowed if the Graduate Certificate/courses have been used to count towards the award of any other degree. |
| Skill/Experience | Programming knowledge (applicants may be required to complete a programming course to demonstrate their programming competency on a case-by-case basis) |
| English Language | Applicants whose native tongue is not English: Test of English as a Foreign Language (TOEFL) minimum score of 85 (Internet-based), or International English Language Testing System (IELTS) minimum Academic score of 6.0 Note: TOEFL / IELTS scores are valid for two years from the test date and should not have expired at point of application. Expired scores will not be considered for the application. |
| Other | Applicants are welcome to submit additional test reports that they may have (i.e. GRE, GMAT) |
Candidates may visit the official Educational Testing Service (ETS) website for scheduling of TOEFL/GRE tests.
Note: Applicants are responsible for ensuring that application information and all supporting documents are truthful and correct. NUS reserves the right to verify information provided as part of an application. False or misleading information in an application (including but not limited to test scores, resumes, certificates, transcripts, etc.) is grounds for admission rejection, revocation and/or dismissal from the University.
The NUS MSc (Smart Industries and Digital Transformation) programme is offered on the following basis (with estimated time to complete the programme indicated below):
| Full-time | 12–18 months |
| Part-time | 18–36 months |
Note: International applicants must be accepted into an approved full-time course in Singapore to apply for a Student’s Pass. For more information, refer to the Singapore Immigration & Checkpoints Authority (ICA) website.
The NUS MSc (Smart Industries and Digital Transformation) is a 40-Unit coursework-based Master’s Degree programme comprising:
Core/essential courses (20 Units), and
Elective courses (20 Units):
8–13 Units from a Graduate Certificate, Remaining Units from other elective courses, chosen from any of those listed under the Graduate Certificates.Upon completion of the 40 Units required to be awarded the NUS MSc (Smart Industries and Digital Transformation), students have the option to study abroad for another semester in the Berkeley Haas Global Access Program (BHGAP) or Berkeley Global Access Program (BGA).
Core/Essential Courses
These courses are unique to the NUS MSc (Smart Industries and Digital Transformation) programme. Each consists of a 130-hour workload with pre-class readings, assignments, tests and/or projects, and online/face-to-face classes.
| Course Code | Course Title | Units |
|---|---|---|
| IND5001 | Introduction to Industry 4.0 and Applications | 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 |
* Offered to the AY2019/2020 cohort as the 4-Unit IND5005 and to the AY2020/2021-onward cohorts as the 3.5-Unit IND5005B, this is a capstone project meant to help students apply what they have learnt to Industry 4.0-related areas of operations in a company. Students will work in teams under the supervision of a relevant NUS academic unit to develop a prototype solution based on an implemented project in a company, craft a report about it, and then present it for evaluation at the end of the course.
Elective Courses
Students must complete 20 Units, comprising one Graduate Certificate and 4–12 Units of other elective courses (chosen from any of those listed under the Graduate Certificates).
Graduate Certificates
| Graduate Certificate Title (Awarding Faculty) | Units |
|---|---|
| Computing Foundations II (School of Computing) | 12 |
| Digital Business (School of Computing) | 12 |
| Digital Supply Chain (Business School) | 12 |
| Financial Management and Analytics (Business School) | 12 |
| Intelligent Robotic Systems (Institute of Systems Science) | 13 |
| Intelligent Sensing Systems (Institute of Systems Science) | 10 |
| Intelligent Software Agents (Institute of Systems Science)* | 10 |
| Internet of Things (College of Design and Engineering) | 10 |
| Pattern Recognition Systems (Institute of Systems Science) | 13 |
| Quality Assurance and Yield Optimisation (Faculty of Science)* | 8 |
| Robotics and Automation (College of Design and Engineering) | 10 |
| Statistics for Data Science (Faculty of Science)* | 8 |
* Only cohorts AY2023/24 and before will be eligible to be awarded these Graduate Certificates; cohorts AY2024/2025 and after may opt to take courses under these Graduate Certificates as standalone electives, but will be ineligible to be awarded Graduate Certificates
For more details about the courses (e.g. laboratory-based or not, subsidy status), please click here.
Note: For more information about the courses listed above (as well as other courses offered in the current academic year), please visit NUSMODS.
To graduate from the MSc (Smart Industries and Digital Transformation) programme, students must meet the following requirements:
| Programme and/or Specialisation | Read and pass a total of 40 Units, comprising: 20 Units of core/essential courses, and 20 Units of elective courses: 8–13 Units from a Graduate Certificate, Remaining Units from other elective courses, chosen from any of those listed under the Graduate Certificates. |
| Course and/or Qualification | As above, complete one of the following: Graduate Certificate in Computing Foundations II Graduate Certificate in Digital Business Graduate Certificate in Digital Supply Chain Graduate Certificate in Financial Management and Analytics Graduate Certificate in Intelligent Robotic Systems Graduate Certificate in Intelligent Sensing Systems Graduate Certificate in Intelligent Software Agents* Graduate Certificate in Internet of Things Graduate Certificate in Pattern Recognition Systems Graduate Certificate in Quality Assurance and Yield Optimisation* Graduate Certificate in Robotics and Automation Graduate Certificate in Statistics for Data Science* |
| Grade Point Average (GPA) | Minimum 3.0 (out of maximum 5.0)
Please see also the University’s minimum standards for Continuation and Graduation Requirements. Specific programmes may implement stricter or additional requirements. |
| Other | Not applicable |
* Applicable to cohorts AY2023/2024 and before
The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.
| Tuition | S$53,100.00 (excluding GST) / Note: The tuition fees for this programme are payable based on the number of Units taken in a semester. The amount stated above is for 40 Units. Students who are required to take more than 40 Units for programme completion may be subjected to tuition fees. |
| Application | S$100.00 (excluding GST) / S$109.00 (including 9% GST) Non-refundable and non-transferable |
| Acceptance | S$5,000.00 (excluding GST) / S$5,450.00 (including 9% GST) Payable upon acceptance of offer Non-refundable and non-transferable Will be credited towards tuition fees |
| Miscellaneous Student Fees | As published by Office of the University Registrar
Payable every regular semester |
Scholarships & Financial Assistance
Master of Science (Smart Industries and Digital Transformation) Study Awards
NUS Master's by Coursework Enhanced Tuition Fee Rebate
NUS Master's Degree by Coursework Tuition Fee Rebate
SG Digital Scholarship (Postgraduate)
Singapore Armed Forces Continuing Education (SAF CE) Master's Sponsorship Programme
SkillsFuture Level-Up Programme
SkillsFuture Singapore (SSG) Tuition Fee Subsidies
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