Master of Science in Chemical and Biomedical Modelling

Master (Coursework)

A postgraduate coursework-based programme with a strong engineering focus on solving real-world problems through chemical modelling, simulation, and data-driven process optimisation.

 

This programme is designed for students and working professionals with a background in chemical engineering, chemistry, or related sciences who wish to deepen their expertise in computational modelling and explore emerging applications of artificial intelligence and machine learning within the chemical and biomedical industries.

For admission matters and enquiries, please email:

MSc in Chemical and Biomedical Modelling: cceb-msccm@ntu.edu.sg

A World-Leading Program in Computational Science
Leverage the expertise of a world-class institution. This program is anchored by our School of Chemistry, Chemical Engineering and Biotechnology (CCEB), with NTU being ranked 6th globally for Chemical Engineering and 8th for Chemistry in the QS World University Rankings by Subject 2026. This provides a top-tier academic environment for an interdisciplinary education in advanced computational modelling.

A Core Curriculum at the Forefront of AI and Data Science
The program is specifically designed to build deep expertise in the computational tools that are transforming modern science and engineering. The core curriculum is entirely focused on data-driven methodologies:

  • Foundational Skills: Introduction to Numerical Methods & Machine Learning and Advanced Statistics for Data Science Analytics provide a rigorous grounding in essential computational techniques.
  • Advanced Applications: Data Mining in Chemical Engineering and Bioengineering and Introduction to Optimization Using AI in Chemical Engineering equip students to solve complex, real-world problems using cutting-edge AI and data analysis.

Specialized, Cutting-Edge Electives
Go beyond core concepts with a diverse range of electives that place you at the frontier of computational innovation:

  • AI-Driven Discovery: Explore revolutionary topics such as Large Language Model-Assisted Computational Material Science and Data-Driven Computational Fluid Dynamics.
  • Molecular and Process Modelling: Gain specialized skills in Computational Design of Catalysts, Application of Modelling and Simulation in Pharmaceutical Processes, and Computational Chemistry for Molecular Modelling.
  • Biomedical Innovation: Delve into the future of healthcare with pioneering courses like Digital Twin of Human: Enabling Precision Health and Quantitative Methods for Bioengineering.

Hands-On Research and Industry Experience
Translate theory into practice with substantial project-based learning and career development opportunities:

  • Immersive Research: Undertake an in-depth MSc Research project or a Laboratory Attachment under the supervision of faculty who are leaders in their fields.
  • Industry-Ready Skills: An optional Professional Internship offers invaluable industry experience, while courses like Project Management in a Digital World prepare you for leadership in technology-driven environments.

  1. Bachelor’s degree with a minimum of honours (distinction) or equivalent from a reputable university.
  2. Minimum TOEFL score of 85 or IELTS score of 6.0 (only if your first degree was not taught in English).
  3. Special consideration may be given, on a case-by-case basis to applicants with relevant work experience and letters of recommendation.

Application period

September 2026 to March 2027
Offer and acceptance

September 2026 to March 2027
(on a rolling basis)

Matriculation

July 2027

Course commencement

August 2027

Application Status

The application outcome will be released via the online Graduate Admission System by end-May / June (August Intake).

Click here to check your application status after you have made a successful online payment.

Submission of Application

All semesters' examination results up to the time of application.

Please ensure that all mandatory and supporting documents are uploaded in the online Graduate Admission System before submitting your application. Submission of hardcopy documents is not required at the application stage.

Only applications submitted by the stipulated application deadline will be processed.

***Applicants should consider carefully that they are able to cope with work/personal/financial commitments before applying/accepting admission as full-time/part-time candidates. Deferment of admission base on these reasons may not be considered.  


Study Type​​Minimum Candidature​Maximum Candidature
Full-time study1 years (3 trimesters)2 years (6 trimesters)
Part-time study2 year (6 trimesters)4 years (12 trimesters)

*No bridging course required

Total Graduation Requirement: 30 AUs minimum

  • 10 courses: 4 core and 6 electives
  • A minimum CGPA of 2.50/5.00

View the Course here:   CM AY2627 Curriculum

*Note: the curriculum is subject to change.

* More details on course content will be provided soon.
Public SectorPrivate Sector
NEA, PUB – Environmental modelling, emissions controlShell, ExxonMobil – Process simulation and optimization
EMA, EDB – Energy systems and sustainability analyticsGSK, Pfizer, Novartis – Drug modelling and pharmaceutical R&D
MOM, SCDF – Safety analysis and risk modellingBASF, Dow, Evonik – Materials modelling and product design
MOE, Polytechnics – Teaching and applied research rolesMicron, Applied Materials – Semiconductor process modelling
A*STAR Institutes – Computational research and data scienceSanofi, Honeywell, Siemens – Industrial process engineering and digital twins
 Bruker, Shimadzu – Scientific instrumentation and software development
 Keppel, Sembcorp – Environmental modelling and sustainable systems engineering

The tuition fees for Academic Year 2027/28 are as follows:

Deposit Fee- S$ 5,450 (Non-refundable)
Tuition Fee (subject to annual revision by the school.)- S$ 53,083 per programme
Payment Schedule

- Full-time students will be billed in three trimesters     

- Part-time student will be billed in six trimesters

Application feeS$50 (Non-refundable)

*All fees shown INCLUDING 9% GST.
*The total tuition fee for the programme is SGD 51,012, based on 30 Academic Units (AUs). The course is charged on a per-trimester basis according to the number of AUs taken, at a rate of ~SGD 1,770 per AU for AY2027/28.

The tuition fees for Academic Year 2026/27 are as follows:

Deposit Fee- S$ 5,450 (Non-refundable)
Tuition Fee (subject to annual revision by the school.)- S$ 51,012 per programme
Payment Schedule

- Full-time students will be billed in three trimesters     

- Part-time student will be billed in six trimesters

Application feeS$50 (Non-refundable)

*All fees shown INCLUDING 9% GST.
*The total tuition fee for the programme is SGD 51,012, based on 30 Academic Units (AUs). The course is charged on a per-trimester basis according to the number of AUs taken, at a rate of ~SGD 1,700 per AU for AY2026/27.

Financial Assistance:

  • Singaporean Citizens (SCs): Enjoy a study grant of S$10,000+ prevailing GST (S$10,900).
  • Singapore Permanent Residents (SPRs): Enjoy a study grant of S$5,000 prevailing GST (S$5,450).
  • SCs and SPRs who require further assistance may apply for financial aid (up to S$10,900) 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. Eligible for holders of bachelor's, master's, and/or doctoral degrees obtained from NTU Singapore. 

 

Please note the following:

  1. All fees listed is INCLUDING GST 9%
  2. The deposit of S$5,450 is payable upon acceptance of the offer (non-refundable)
  3. A one-time miscellaneous fee will be billed every academic year. Please click here for details.
  4. Tuition fees do not include the cost of recommended textbooks and other course materials. The student must bear the cost of travel, accommodation, and miscellaneous expenses.
  5. All incentives/subsidies will be distributed evenly across the entire billing period, whether it is 3 trimesters for full-time students or 6 trimester for part-time students.
  6. The fees are reviewed annually and are subject to revision.