[AY2025/26] - MSMS Information Sharing Session [Online]

Date: 07 February 2025 | Time: 2:00 PM - 3:00 PM | Mode: via Zoom

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MSc in Modelling and Simulation

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(This database will only be kept till 31 March 2025. During this period, we'll keep you informed with notifications based on your selections, such as information session (video recording link), outreach activities, admission portal opening and closing.)

Modelling and simulation technologies are essential in both scientific research and industrial applications, with diverse and far-reaching uses across sectors such as healthcare and medicine, aerospace, materials science, physics, biology, economics, meteorology, information technology, communications, and beyond.

As the global demand for highly skilled professionals in this field continues to grow, the Master of Science (MSc) in Modelling and Simulation programme at Nanyang Technological University (NTU) is specifically designed to meet this increasing need.

This programme provides students with a solid foundation in computational modelling, artificial intelligence, specialised applications, and both research and industrial practices. With this comprehensive training, graduates are well-equipped to pursue doctoral studies or step into high-level roles in the workforce, positioning them for successful careers in a rapidly evolving, high-demand field with vast global opportunities.

 

 

The MSc in Modelling and Simulation programme is an intensive one-year full-time or two-year part-time programme by coursework taught in three trimesters per academic year. The courses are delivered in intensive formats of either 7 weeks (with each trimester split into two halves) or a full 13 weeks. All courses are conducted at NTU main campus.

The programme consists of a total of 30 Academic Units (AU), with 15 AU of compulsory courses and 15 AU from elective courses. 

Compulsory Courses (15AU)  
Compulsory courses15 AU
Elective Courses (12+3 AU)
Prescribed Electives 12 AU
Unrestricted Electives  3 AU
Total 30 AU

The requirements for graduation are:

  • ​​Successful completion of the courses of a total of 30 AU as prescribed by MSc in Modelling and Simulation; and
  • Attaining a minimum CGPA of 2.50 at the completion of the programme of study.​ 

Programme Features

The curriculum consists of four specialisations: 

  1. Materials Science and Engineering
  2. Medicine and Healthcare
  3. Economics and Finance
  4. Data Science and Computing Engineering

The practicum course, MH6591 Graduate Research Practicum or MH6592 Graduate Professional Internship Practicum, starts in Trimester 3 and students can choose to take either one as their Prescribed Elective.
*Note that students are allowed to choose only up to two courses from the list of MH6548 to MH6551.

Upon graduation, students may claim one specialisation based on the courses they have successfully completed. To do so, students must complete all the prescribed elective courses for their chosen specialisation.

Additionally, prior to the start of the first trimester, students are required to attend a mandatory two-week intensive course, which can be taken either in-person or online. During this course, they will receive a comprehensive review of fundamental concepts in Calculus, Linear Algebra, Complex Analysis, and Differential Equations. This course does not account towards the degree award. However, students must pass a test at the end of the course. If they do not pass, they will need to attend an additional three-hour course to strengthen their fundamental mathematical skills.

Compulsory Courses

MH6501 Fundamentals of Modelling and Simulation3 AU
MH6502 Numerical Linear Algebra and Differential Equations
3 AU
MH6503 Stochastic Modelling and Simulation
3 AU
MH6504 Mathematical Programming and Optimisation
3 AU
MH6505 Machine Learning and Artificial Intelligence: Principles and Techniques3 AU


Prescribed Elective Courses for Materials Science and Engineering Specialisation

MH6543 High-Performance Computing and Simulation: MPI, OpenMP, and CUDA 1.5 AU
MH6545 Computational Imaging: Methods and Applications 1.5 AU
MH6547 Simulation of Physical, Biological, and Chemical Systems 3 AU
MH6548 Modelling and Simulation in Materials Science and Engineering
3 AU
MH6591 Graduate Research Practicum
3 AU
MH6592 Graduate Professional Internship Practicum 3 AU


Prescribed Elective Courses for Medicine and Healthcare Specialisation

MH6544 Bayesian Modelling and Statistical Learning 1.5 AU
MH6546 Time Series Analysis and Signal Processing 1.5 AU
MH6547 Simulation of Physical, Biological, and Chemical Systems 3 AU
MH6549 Modelling and Simulation in Medicine and Healthcare 3 AU
MH6591 Graduate Research Practicum 3 AU
MH6592 Graduate Professional Internship Practicum 3 AU


Prescribed Elective Courses for Economics and Finance Specialisation

MH6541 Discrete Mathematics, Algorithms, and Applications 1.5 AU
MH6543 High-Performance Computing and Simulation: MPI, OpenMP, and CUDA1.5 AU
MH6544 Bayesian Modelling and Statistical Learning1.5 AU
MH6546 Time Series Analysis and Signal Processing1.5 AU
MH6550 Modelling and Simulation in Economics and Finance3 AU
MH6591 Graduate Research Practicum3 AU
MH6592 Graduate Professional Internship Practicum3 AU

 

Prescribed Elective Courses for Data Science and Computing Engineering Specialisation

MH6541 Discrete Mathematics, Algorithms, and Applications1.5 AU
MH6542 Programming Languages and Software Development1.5 AU
MH6544 Bayesian Modelling and Statistical Learning1.5 AU
MH6546 Time Series Analysis and Signal Processing1.5 AU
MH6551 Modelling and Simulation in Data Science and Computing Engineering3 AU
MH6591 Graduate Research Practicum3 AU
MH6592 Graduate Professional Internship Practicum3 AU

 

Unrestricted Elective Courses

Prescribed Electives of one specialisation can be Unrestricted Electives for another specialisation.

    Academic Calendar

    For the Trimester Calendar (for NTU Graduate Programmes such as this one), please click here.

    Admission Requirements

    The admission criteria are as follows:

    • A good Bachelor's Degree in a quantitative programme (e.g. mathematics, physics, engineering, computer sciences, finance, or related fields etc).
    • A TOEFL score of 85 or more, or IELTS score of 6.0 or more, for graduates of universities in which English is not the medium of instruction

      Below are preferred but not required:
    • A good GMAT score or GRE score
    • Some relevant work experience

    Refer to Coursework Programmes Admission Guide for the general requirements for admission.

    NOTE:

    • Do not send a hardcopy admission package unless requested. 
    • Complete set of supporting documents (must be legible) have to be uploaded via the fully digital application portal. Applicants to/may upload their TOEFL, IELTS, GMAT or GRE score via the online application.

     

    Application Procedure and Timeline

    Application
    Apply online here

    04 Nov 2024 to 15 Mar 2025

    Offer and Acceptance
    Acceptance and deposit payment must be completed within two weeks of the offer.

    March 2025

    Matriculation Mid July 2025
    Non-credit-bearing Preparatory Lessons (Calculus, Linear Algebra, Complex Analysis, and Differential Equations)
    Compulsory for matriculated MSc in Modelling and Simulation students
    End July 2025
    Course Commencement04 August 2025


    Check Application/Result Status
    Owing to a large number of applicants, we are unable to attend to phone or email enquiries on application status/results. Click here to check your application status after you have made a successful online payment.


    Medical Check-Up

    Enrolling students must undergo a medical check-up and obtain a receipt certifying that they are medically fit for studies. This certification must be presented before matriculation. Details about the check-up will be provided upon acceptance into the programme.

    The tuition fees for Academic Year 2025/26 are as follows:

    Tuition FeesS$54,500
    Deposit FeesS$5,450 – This amount will be deducted from the first billing.
    Payment ScheduleFull-time students will be billed in three trimesters while part-time students will be billed in six trimesters.

    *All fees shown are inclusive of 9% prevailing GST.

    Please note the following:

    1. All fees shown are inclusive of the prevailing Goods and Services Tax (GST).
    2. The above fees are based on the shortest candidature period. Additional fees will be determined and applied on a case-by-case basis.
    3. There is an application fee of S$50.
    4. A one-time miscellaneous fee will be billed every academic year. Please click here for details.
    5. Tuition fees do not include the cost of recommended textbooks and other course materials. The costs of travel, accommodation and miscellaneous expenses must be borne by the student.
    6. All grants will be distributed evenly across the entire billing period, whether it is 3 trimesters for full-time students or 6 trimesters for part-time students. (The tuition fee will be paid in three installments at the beginning of each trimester. Study grants and other incentives will also be applied to these three installments.)
    7. The university currently has no scholarship, government service agreement, or service obligation scheme available for students.
    8. The fees and grants are reviewed annually and subject to revision


    Financial Assistance:

    • Singapore Citizens (SCs): study grant of S$10,000 + prevailing GST (S$10,900).
    • Singapore Permanent Residents (SPRs): study grant of S$5,000 + prevailing GST (S$5,450)
    • Needy SCs and SPRs may apply for financial aid (up to S$5,450 in addition to the SC/SPR study grant).
    • NTU Alumni: On top of the above, alumni can enjoy a 10% grant of the tuition fee (S$5,000 + Prevailing GST (S$5,450)). Eligible for holders of bachelor’s, master’s, and/or doctoral degrees obtained from NTU Singapore.
    • SCs and SPRs may enjoy tuition fee subsidies under SkillsFuture Singapore (For enquiry: [email protected])

    Contact Us

    For general enquiries, email [email protected]

    For academic enquiries, email the Programme Director, Associate Prof TONG Ping ([email protected]).