Master of Science in Biomedical Informatics (MSc in BMI)
Overview
The Master of Science in Biomedical Informatics (MSc in BMI) at the NUS Yong Loo Lin School of Medicine is a postgraduate programme, available as a full-time (1 year) or part-time (2 years) course, with specialisations in Analytics or Hospital Management. The programme equips students with essential skills in evidence-based clinical decision-making, machine learning, data visualisation, effective communication, strategic leadership, large language model and entrepreneurship. Graduates will learn to critically evaluate clinical decision support systems and lead strategic innovations in healthcare, preparing them for impactful roles in healthcare analytics, administration, and technology-driven initiatives.
- Integrative curriculum taught by expert faculty from School of Computing, School of Public Health and NUS-ISS
- Develop skills in data visualisation, machine learning and other technologies to navigate evolving healthcare landscape
- Gain valuable industry experience through internships and collaborative Capstone Projects with international companies
- Access real-time healthcare data from institutional healthcare settings and learn how to utilise in clinical practice
Intake: August 2026
31 January 2026
April 2026 (Via email)
Ideal candidates for the programme
Graduates from this programme can pursue careers in roles such as:
- Chief Medical Informatics Officer
- AI and Machine Learning Specialists
- Internet of Things Specialists
- Database and Network Professionals
- Digital Transformation Lead
- Health Tech Innovator
- Specialist Medical Practitioners
- Data Analysts and Scientists
- Chief Innovation Officer
Programme Faculty
Adj. Prof Ngiam Kee Yuan
Head
Department of Surgery
NUS Yong Loo Lin School of Medicine
Prof Seth Gilbert
Head, Dean’s Chair Associate Professor
Department of Computer Science
NUS School of Computing
A/Prof Jason Yap
Vice Dean (Practice),
Director (Public Health Translation),
Associate Professor (Practice)
NUS Saw Swee Hock School of Public Health
Aaron Chua
Principal Lecturer and Consultant
Digital Strategy & Leadership Practice, NUS-ISS
Adj. Prof Ngiam Kee Yuan
Head
Department of Biomedical Informatics
NUS Yong Loo Lin School of Medicine
Prof Seth Gilbert
Head, Dean’s Chair Associate Professor
Department of Computer Science
NUS School of Computing
A/Prof Jason Yap
Vice Dean (Practice),
Director (Public Health Translation),
Associate Professor (Practice)
NUS Saw Swee Hock School of Public Health
Aaron Chua
Principal Lecturer and Consultant
Digital Strategy & Leadership Practice, NUS-ISS
The MSc in BMI is available as a 1-year (full-time) or a 2-year (part-time) degree programme. Students can choose to specialise in one of the 2 tracks offered; Analytics or Hospital Management.
Graduation Requirements
Total Units Required: 40 Units
- BMI5101 Advanced Biomedical Informatics
- BMI5111 Capstone Project
- BMI5207 Medical Data and Data Processing
- BMI5306 Advanced Agile Project Management
- IT5001 Software Development Fundamentals
- Analytics
- Hospital Management
Proposed Study Plan
Please refer HERE for the proposed study plan for full-time and part-time students.
- Full-time students are expected to complete the programme within 12 – 24 months. The maximum candidature is 24 months; excluding Leave of Absence (LOA).
- Part-time students are expected to complete the programme within 24 – 48 months. The maximum candidature is 48 months; excluding Leave of Absence (LOA).
Important:
Before submitting your application:
- Download and read the Applicant Guide to the Graduate Admission System (GDA)
- Review the Checklist for Applicants. Please upload the relevant supporting documents according to the checklist when submitting your online application.
Minimum Requirements:
- Fresh graduates with M.B.,B.S. degree, Bachelor (Hons) degrees in Quantitative Sciences (e.g. Mathematics, Applied Mathematics, Statistics and Physics) or Engineering or Computer Science or Business or Health Sciences related discipline.
- Candidates with other qualifications and relevant experience may be considered on a case-by-case basis, subject to approval by the selection committee. Admission is on a competitive basis and candidates with relevant industry experience will be considered favourably.
- International applicants who graduated from universities where English is not the main medium of communication are required to demonstrate their English proficiency by possessing a minimum TOEFL (Test of English as a Foreign Language) score of 85 (Internet-based) or a minimum IELTS (International English Language Testing System) Academic score of 6.0. The TOEFL/IELTS scores must be valid for two (2) years from the test date and should not have expired at the point of application. Expired scores will not be considered for the application.*
Tuition Fees:
Total Tuition Fees (for students enrolled in the Academic Year 2026/2027 only): S$68,538.00 (inclusive of Goods & Services Tax (GST))
The payment schedule is as follows:
August 2026
S$31,185.00
January 2027
S$31,185.00
August 2027
–
January 2028
–
Per Module Fee: S$6,853.80 (inclusive of prevailing GST)*
Acceptance Fee (Including GST):
S$6,168.00
For more information, please visit the Office of the University Registrar website.
- All Singaporeans or PRs will receive a 10% tuition fee rebate.
- All NUS alumni will receive a 20% tuition fee rebate.
- Payment of fees will be on an instalment basis, paid over 2 semesters for full-time students and 4 semesters for part-time students. Full fee must be paid before a student can graduate from the programme.
- Upon acceptance of offer, an acceptance fee of S$6,168.00 (including GST) will be charged on the Graduate Admission System (GDA). Acceptance fees is non-refundable, non-transferable and will be credited towards the tuition fee once the programme starts.
- Tuition fees are subjected to annual review and inflation.
- There are penalties for late or partial fee payment. Please refer here for more details on student finance matters.
- Students who wish to read more than 10 modules should note that the per module fees are paid to the module host department and may not be refunded if they decide to drop the extra module/s. Application for the extra module/s is also subject to approval by the module host department.
- Per Module Fee is applicable for students who wish to take additional modules (11th module onwards) or who
need to repeat a module. The fee is payable along with the Miscellaneous Student Fees as per the NUS fee payment schedule.
The MSc in BMI is available as a 1-year (full-time) or a 2-year (part-time) degree programme. Students can choose to specialise in one of the 2 tracks offered; Analytics or Hospital Management.
Graduation Requirements
Total Units Required: 40 Units
- BMI5101 Advanced Biomedical Informatics
- BMI5111 Capstone Project
- BMI5207 Medical Data and Data Processing
- BMI5306 Advanced Agile Project Management
- IT5001 Software Development Fundamentals
- Analytics
- Hospital Management
Proposed Study Plan
Please refer HERE for the proposed study plan for full-time and part-time students.
Study Period
- Full-time students are expected to complete the programme within 12 – 24 months. The maximum candidature is 24 months; excluding Leave of Absence (LOA).
- Part-time students are expected to complete the programme within 24 – 48 months. The maximum candidature is 48 months; excluding Leave of Absence (LOA).
Important:
Before submitting your application:
- Download and read the Applicant Guide to the Graduate Admission System (GDA)
- Review the Checklist for Applicants. Please upload the relevant supporting documents according to the checklist when submitting your online application.
Minimum Requirements:
- Fresh graduates with M.B.,B.S. degree, Bachelor (Hons) degrees in Quantitative Sciences (e.g. Mathematics, Applied Mathematics, Statistics and Physics) or Engineering or Computer Science or Business or Health Sciences related discipline.
- Candidates with other qualifications and relevant experience may be considered on a case-by-case basis, subject to approval by the selection committee. Admission is on a competitive basis and candidates with relevant industry experience will be considered favourably.
- International applicants who graduated from universities where English is not the main medium of communication are required to demonstrate their English proficiency by possessing a minimum TOEFL (Test of English as a Foreign Language) score of 85 (Internet-based) or a minimum IELTS (International English Language Testing System) Academic score of 6.0. The TOEFL/IELTS scores must be valid for two (2) years from the test date and should not have expired at the point of application. Expired scores will not be considered for the application.*
Tuition Fees:
Total Tuition Fees (for students enrolled in the Academic Year 2026/2027 only): S$68,538.00 (inclusive of Goods & Services Tax (GST))
The payment schedule is as follows:
August 2026
Full Time Students
Part-Time Students
–
January 2027
Full Time Students
Part-Time Students
–
August 2027
Full Time Students
–
Part-Time Students
–
January 2028
Full Time Students
–
Part-Time Students
–
Acceptance Fee (Including GST):
Additional Fee:
In addition to tuition fees, students will be charged miscellaneous student fees each semester.
Miscellaneous student fees help meet costs incurred by the University in providing services to the student community that are either not covered or only partially covered by the tuition fees. These services include healthcare for students; facilitating student cultural, social and recreational programmes; and maintaining the shuttle bus service, IT network and other essential campus infrastructure and services.
For more information, please visit the Office of the University Registrar website.
Note:
- All Singaporeans or PRs will receive a 10% tuition fee rebate.
- All NUS alumni will receive a 20% tuition fee rebate.
- Payment of fees will be on an instalment basis, paid over 2 semesters for full-time students and 4 semesters for part-time students. Full fee must be paid before a student can graduate from the programme.
- Upon acceptance of offer, an acceptance fee of S$6,168.00 (including GST) will be charged on the Graduate Admission System (GDA). Acceptance fees is non-refundable, non-transferable and will be credited towards the tuition fee once the programme starts.
- Tuition fees are subjected to annual review and inflation.
- There are penalties for late or partial fee payment. Please refer here for more details on student finance matters.
- Students who wish to read more than 10 modules should note that the per module fees are paid to the module host department and may not be refunded if they decide to drop the extra module/s. Application for the extra module/s is also subject to approval by the module host department.
- Per Module Fee is applicable for students who wish to take additional modules (11th module onwards) or who
need to repeat a module. The fee is payable along with the Miscellaneous Student Fees as per the NUS fee payment schedule.
Frequently Asked Questions
When/how will I receive the application outcome?
You should receive an outcome by end April of your application year via the email you submitted your application with e.g. if you are applying for AY26/27 intake that commences in August 2026, you will receive outcome by April 2026.
The official application requires us to submit a documentary proof of financial support in English. What does this refer to? What document can I submit as financial proof?
The financial proof should certify your financial ability to make payment for the Miscellaneous Student Fees (MSFs) and tuition fees for at least 2 semester. For the actual rates of MSF, please refer to this page.
There is a ‘Referee’ section on the application page. Is this compulsory?
Can I upload supporting documents that are not in English?
If my application is unsuccessful, can I reapply?
I am an international student, what document do I need to study and stay in Singapore?
How do I apply for a student’s pass?
Pre-Admission Medical Examination
As an admission condition, all incoming students (excluding non-graduating students and continuing & professional education students) are required to undergo a medical examination. The University reserves the right to refuse admission to or exclude a student from any particular course of study if he/she declines to undergo the health examinations or refuse any prescribed tests. All international students who plan to stay in Singapore for 6 months or more will need to undergo and pass an additional medical examination which must include a HIV test for the application of the Student’s Pass. Please refer here for more information.
Will NUS help to arrange for my accommodation in Singapore?
Only Full-time NUS graduate students may apply for a place in selected Student Residences. Being a research-intensive university, new Graduate students by Research are prioritised for campus accommodation. As demand far exceeds supply, not all applicants will be successful in their applications. With the present high demand for campus housing, Graduate students by Coursework are unlikely to be offered campus accommodation in Kent Ridge Campus with the exception of College Green. It is advisable to budget for off-campus housing and source for one early. More information on off-campus housing can be found here.
Can I apply for other courses in other faculties?
You may apply for other courses. However, they are subjected to their availability and approval by respective faculties. Do take note that the other courses will not be included as part of your 10-course graduation requirements and additional fee charges apply as per the other faculties’ guidelines.
If you are unable to find the answer to your query in the list of FAQs, you can email us at nusdbmi@nus.edu.sg and we will reply to you within 3 working days.
Voices That Inspire
The MSc in Biomedical Informatics programme has helped to formalise some of my work experience and knowledge into structured courses and allowed me to fill in gaps for areas of healthcare data.
Another key benefit for me has been the networking — the programme was great for meeting people working in healthcare data and getting a sense of which skills are currently in demand.
Eva Baker
Valedictorian, Class of 2025
Senior Data & Analytics Specialist, Amplify Health
The programme gave me a strong foundation in biomedical data science despite my non-informatics background. The interdisciplinary curriculum and hands-on projects in data analytics and machine learning helped bridge my expertise in brain sciences with data science, advancing my career in research.
Evelyn Zhang
Class of 2026
