Master of Science (Industrial and Systems Engineering)

Overview Curriculum Courses Admission & Fee FAQ

Overview

The Master of Science in Industrial and Systems Engineering (MSc ISE) programme is designed to provide graduate level education to prepare individuals for a lifelong career addressing critical engineering and managerial decision making in the manufacturing and service sectors. It equips students with core competency and skills in data analytics, optimization, system engineering, decision making, and project management and decarbonization analytics. The programme also emphasizes on the application of ISE knowledge in solving real life problems and challenges.

The programme is ideal for professionals who have increasing responsibilities in management and decision making. It is also suitable for all engineering and science students who want to advance their career in data science, logistics, business analytics, etc. Beside that, the programme also enable the graduates to attain the level of proficiency to help businesses and organisations meet their decarbonization goals. It ensure that our graduates remain relevant and in high demand in the emerging green wave.

Domain-specific focus in the programme is also available for those who wish to deepen their understanding in any of the following areas of specialisation:

Data Analytics (DA)
Engineering and Service Management (ESM)
Operations Research (OR)
Systems Engineering (SE)
Decarbonization Analytics (DCA)

Curriculum

Degree Requirements	At least 40 units – typically ten courses
Candidature	Full-time^	minimum 1 year – maximum 2 years
Candidature	Part-time	minimum 2 years – maximum 4 years
Continuation Requirements	https://cde.nus.edu.sg/graduate/graduate-programmes-by-coursework/graduation-requirements/
Graduation Requirements	GPA^# of at least 3.00 (equivalent to an average of B-) for a general MSc ISE degree GPA^# of at least 3.50 (equivalent to an average of B) for a MSc ISE degree with area of specialisation in DA, ESM, OR, SE or DCA.

^If you are an international applicant who does not have permanent residency in Singapore, you are eligible to apply only for the full-time programme; if offered admission, you will be registered as a full-time student.

#Grade Point Average (GPA) – students that obtain a GPA of less than 3.00 but at least 2.25 will receive a Graduate Diploma.

Area of Specialisation

To graduate with an Area of Specialisation (AOS), you will need to complete at least 16 units from core courses and at least 16 units from the AOS basket. You may double-count a course as fulfilling both core and AOS if they fall in both categories. The remaining units can be from the core or elective courses.

To be considered for the award of specialisation, a student must complete a minimum of 40 units with a graduating GPA of at least 3.50. Upon successful completion of the AOS, the specialisation will be reflected in your official transcript.

Data Analytics (DA)

IE5002 Applied Engineering Statistics (compulsory)
IE5005 Data Analytics For Industrial Engineers (compulsory)
IE5202 Applied Forecasting Methods
IE5231 Statistical Methods for Process Design and Control
IE5405 Retails Operations and Analytics
IE5600 Applied Programming for Industrial Systems
IE5602 Statistical Learning in Engineering I
IE5603 Statistical Learning in Engineering II

Engineering and Service Management (ESM)

IE5003 Cost Analysis And Engineering Economy (compulsory)
IE5006 Large Scale Systems Engineering
IE5121 Quality Planning and Management
IE5208 Systems Approach to Project Management
IE5213 Service Innovation and Management
MT5006 Value Creation Through Product Development
MT5024 Maximising Innovation Value through Patent Analytics

Operations Research (OR)

IE5001 Operations Research for Decision Making (compulsory)
IE5004 Stochastic Models and Their Applications (compulsory)
IE5005 Data Analytics For Industrial Engineers
IE5105 Modelling for Supply Chain Systems
IE5203 Decision Analysis
IE5205 Healthcare System and Analytics
IE5401 Modern Supply Chain and Blockchain Technologies
IE5405 Retail Operation and Analytics
IE5504 Systems Modelling and Advanced Simulation
IE5603 Statistical Learning in Engineering II

Systems Engineering (SE)

IE5006 Large Scale Systems Engineering (compulsory)
IE5123 Reliability Engineering and Asset Management
IE5205 Healthcare System and Analytics
IE5206 Energy and Sustainability
IE5221 Transportation Modeling and Economics
IE5504 Systems Modelling and Advanced Simulation

Decarbonization Analytics (DCA)

IE5003 Cost Analysis and Engineering Economy (compulsory)
IE5005 Data Analytics For Industrial Engineers (compulsory)
IE5206 Energy and Sustainability
IE5207 Energy Systems Modelling and Market Mechanisms
IE5209 ESG and Net Zero: Principles and Cases

Courses

Students have to complete at least 16 units from core courses. The remaining 24 units can be from the core or elective courses.

Course Code	Type (AOS)	AOS	Semester	Title (Click for course description)
IE5001	Core	OR	Sem 1	Operations Research for Decision Making
IE5002	Core	DA	Sem 2	Applied Engineering Statistics
IE5003	Core	ESM/ DCA	Sem 2	Cost Analysis and Engineering Economy
IE5004	Core	OR	Sem 1 / 2	Stochastic Models and their Applications
IE5005	Core	DA / OR / DCA	Sem 1	Data Analytics for Industrial Engineers
IE5006	Core	ESM / SE	Sem 2	Large Scale Systems Engineering
IE5105	Elective	OR	Sem 1 & 2	Modelling for Supply Chain Systems
IE5107	Elective		Sem 2	Operations Analysis and Management
IE5108	Elective		Sem 2	Facility Layout and Location
IE5121	Elective	ESM	Sem 1	Quality Planning and Management
IE5123	Elective	SE	Sem 1	Reliability Engineering and Asset Management
IE5202	Elective	DA	Sem 1	Applied Forecasting Methods
IE5203	Elective	OR	Sem 1	Decision Analysis
IE5205	Elective	OR / SE	Sem 2	Healthcare System and Analytics
IE5206	Elective	SE / DCA	Sem 2	Energy and Sustainability
IE5207	Elective	DCA	Sem 2	Energy Systems Modellng and Market Mechanisms
IE5208	Elective	ESM	Sem 1	Systems Approach to Project Management
IE5209	Elective	DCA	Sem 1	ESG and Net Zero : Principles and Cases
IE5210	Elective	ESM	Sem 2	Value Chain Carbon Accounting and Sustainability
IE5213	Elective	ESM	Not offered	Service Innovation and Management
IE5221	Elective	SE	Sem 2	Transportation Modeling and Economics
IE5231	Elective	DA	Sem 2	Statistical Methods for Process Design and Control
IE5268	Elective	OR	Sem 1	Theory and Algorithms for nonlinear Optimization
IE5301	Elective		Sem 1	Human Factors in Engineering and Design
IE5401	Elective	OR	Sem 2	Modern Supply Chain and Blockchain Technologies
IE5405	Elective	DA/OR	Sem 2	Retail Operations and Analytics
IE5504	Elective	OR / SE	Not offered	Systems Modelling and Advanced Simulation
IE5506	Elective	OR	Sem 2	Portfolio Optimization and Engineering
IE5600	Elective	DA	Sem 1	Applied Programming for Industrial Systems
IE5602	Elective	DA	Sem 1	Statistical Learning in Engineering I
IE5603	Elective	DA/OR	Sem 2	Statistical Learning in Engineering II
IE5604	Elective	DA/OR	Sem 2	Practical Deep Learning Methods for Decision Making
MT5006	Elective	ESM	Sem 1	Value Creation Through Product Development
MT5024	Elective	ESM	Sem 2	Maximising Innovation Value through Patent Analytics
IE5766	Elective		Sem 1 & 2	Industrial & Systems Engineering Attachment (8 units) We envisage students to seek their own internship companies and submit the completed form (Section A & B) to ISEM office at least 3 weeks prior to start of attachment.
IE5909A	Elective		Sem 1 & 2	Research Project in Industrial & Systems Engineering I
IE5909B	Elective		Sem 1 & 2	Research Project in Industrial & Systems Engineering II

*Please take note not all courses will be offered and the courses will be subject to changes.

Timetable

Courses are typically taught on weekday evenings from 6-9pm over 13 weeks. Exams may be held during working hours on weekdays. (Please do note that timetables are subject to changes.)

Academic Year
2024/2025	Semester 1	Semester 2
2025/2026	Semester 1	Semester 2

Admission & Fee

Admissions

Eligibility	A Bachelor’s degree with 2^nd class honours or its equivalent in Engineering, Science or related discipline from an institution of recognised standing. This is a minimum requirement which does not guarantee admission; selection is on a competitive basis.
English Requirement	TOEFL (internet-based test)> 85 or IELTS (academic)> 6.0 is required if your first language is not English. You may be waived from this requirement if you have completed your degree programme taught entirely in English, situated in an English speaking country, for example (non-exhaustive list) Australia, Canada, Hong Kong, India, New Zealand, Philippines, Singapore, United Kingdom, USA. The TOEFL/IELTS result is only valid for 2 years after the test and should be valid at the beginning of the application period.
Work Experience	Candidates should preferably have had a period of relevant industrial experience after obtaining their first degrees.
Intake Semester	August 2025
Application Period	1 October 2024 - 28 February 2025
Outcome Release Date	Early April 2025 Applicants who demonstrate outstanding credentials would be considered for early admission.
Application instructions	https://cde.nus.edu.sg/graduate/graduate-programmes-by-coursework/application-to-graduate-coursework-programmes/

Fees and Financial Information

The full programme fee for Academic Year (AY) 2025/2026 is illustrated in the following table. Programme fees are reviewed yearly and thus subjected to revisions. Payment schedule, due on the first week of every semester, is as follows:

Full Programme Fees (inclusive of GST)	Acceptance Fee (inclusive of 9% GST)	1^st semester (inclusive of 9% GST)	2^nd semester (inclusive of 9% GST)	3^rd semester (inclusive of 9% GST)	4^th semester (inclusive of 9% GST)
Full-time Students	S$55,590	$$5,450	S$25,070	S$25,070	N.A.	N.A.
Part-time Students	S$55,590	S$5,450	S$12,535	S$12,535	S$12,535	S$12,535

Full Programme Fees

(inclusive of GST)

Acceptance Fee

(inclusive of 9% GST)

1^st semester

(inclusive of 9% GST)

2^nd semester

(inclusive of 9% GST)

3^rd semester

(inclusive of 9% GST)

4^th semester

(inclusive of 9% GST)

Full-time Students

S$55,590

$$5,450

S$25,070

N.A.

Part-time Students

S$55,590

S$5,450

S$12,535

The fees listed are in Singapore Dollars (S$) and inclusive of 9% GST from 2024 onwards
A non-refundable application fee of S$109 (inclusive of 9% GST*) must accompany your online application.
Payment of fees will be on an instalment basis, paid over 2 semesters for full-time students and (up to) 4 semesters for part-time students. Complete fee must be paid before a student can graduate from the programme.
Students need to separately pay for Miscellaneous Student Fee (MSF) directly to the University on a semester basis. Fees are reviewed annually. For the latest Miscellaneous student fees, please refer to Office of the University Registrar’s website here.
Acceptance Fee of S$5,450* – which will be credited towards your programme fees – is payable upon acceptance into the programme. Fee is non-refundable and non-transferable.
Students may utilise SkillsFuture Credit (SFC) to offset tuition fees: https://www.myskillsfuture.gov.sg/content/portal/en/training-exchange/course-directory/course-detail.html?courseReferenceNumber=TGS-2015502879
Refer to the SFC application guide here: https://www.nus.edu.sg/finance/students/student-finance-matters.html
Programme fee is for 40 units only. To graduate, a student has to complete 40 units. Students reading more than 40 units will incur additional prorated programme fees (without subsidy/rebate) at the prevailing rate of the Academic Year in which the course is read.
Programme fees do not include the cost of recommended textbooks and readings.
The cost of travel, accommodation and miscellaneous expenses are not included and are to be borne by the participant. For an estimated cost of living, please click here.

AY2025/2026 Fee Rebate

Fee rebates will be awarded to deserving applicants based on merit. Applicants will be notified of their awarded fee rebate quantum after they received their offer letter.

Nationality	Fee Rebate
Singapore Citizen (SC)	Up to 65% of Programme Fees
Singapore Permanent Residents (SPR)	Up to 50% of Programme Fees
ASEAN	Up to 40% of Programme Fees
International	Up to 30% of Programme Fees

# actual quantum of fee rebate depends on academic merit.

All NUS Alumni will receive a minimum 40% tuition fee rebate.
All Non-NUS Alumni SC and SPR will receive a minimum 40% tuition fee rebate.

Illustration of Programme Fees with fee rebates

With effect from AY2025/2026 cohort, students who are eligible for fee rebates will receive the full rebate credit of their acceptance fee into their Semester 1 student bill. The below table illustrates the changes in fee payment schedule.

Programme Fees with fee rebate (inclusive of GST)			Acceptance Fee (inclusive of 9% GST)	1^st semester (inclusive of 9% GST)	2^ndsemester (inclusive of 9% GST)	3^rd semester (inclusive of 9% GST)	4^th semester (inclusive of 9% GST)
65% fee rebate	Full-time Students	S$19,456.50	S$5,450	S$5,232	S$8,774.50	N.A.	N.A.
65% fee rebate	Part-time Students	S$19,456.50	S$5,450	S$844.75	S$4,387.25	S$4,387.25	S$4,387.25
50% fee rebate	Full-time Students	S$27,795	S$5,450	S$9,810	S$12,535	N.A.	N.A.
50% fee rebate	Part-time Students	S$27,795	S$5,450	S$3,542.50	S$6,267.50	S$6,267.50	S$6,267.50
40% fee rebate	Full-time Students	S$33,354	S$5,450	S$12,862	S$15,042	N.A.	N.A.
40% fee rebate	Part-time Students	S$33,354	S$5,450	S$5,341	S$7,521	S$7,521	S$7,521
30% fee rebate	Full-time Students	S$38,913	S$5,450	S$15,914	S$17,549	N.A.	N.A.
30% fee rebate	Part-time Students	S$38,913	S$5,450	S$7,139.50	S$8,774.50	S$8,774.50	S$8,774.50

Tuition Fees and Curriculum information for previous intakes

For students from past cohorts, please refer to this document for previous information on tuition fees & curriculum requirement.

FAQ

Qn: I do not have a 2nd class honours, can I still apply?

Yes, you may apply. Considerations will be given for relevant work experience. We may also call you for an interview if necessary.

Qn: What is the typical class profile?

Majority of our students are aged between 22 to 35.

Qn: What is the difference between full-time and part-time if all the classes are held in the evenings?

A full-time student can take up to 20 units (or typically 5 courses) per semester, hence, they will study one course per weekday. A part-time student is limited to half of a full-time student’s workload, and will only be able to study up to a maximum of 12 units (or typically up to 3 courses) per semester.

Qn: What are the job prospects after attaining this degree? Will NUS help with job placements?

Some of the common job prospects are business analyst, data scientist, supply chain specialist, quality engineer, project manager, consultant, etc. The jobs spread in manufacturing, logistics, financial and business services, and public sectors. There will be career fairs organised by the NUS Centre for Future-ready Graduates to help you connect with potential employers.

Qn: Can I opt for more than 1 area of specialisation?

You may only graduate with 1 area of specialisation, hence it is important for you to choose the right one from the start so as not to delay your graduation.

Qn: Can I opt out of the specialisation after selecting it?

Yes, you may change or opt out of the specialisation at the start of every new semester during course registration exercise. However, it is important to select the correct specialissation in your graduating semester as it will affect your graduation eligibility.

Students who have completed 40 units and fulfilled the general MSc ISE degree but not the AOS will have their AOS dropped and be graduated with the general MSc ISE degree automatically.

Qn: How do I file for graduation?

Students will be automatically graduated once they have completed 40 units and fulfilled the general MSc ISE degree or the AOS, whichever is earlier. There is no need to file for graduation. Conferment will be on either 31 January (end of semester 1) or 30 June (end of semester 2). You may refer to Registrar’s website on more details of conferment, student status letter, transcripts & scrolls, and other actions required upon conferment.

If you have any questions or require more information, please contact Mr Tan Junwei at pg_isem@nus.edu.sg.

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