The MSc in Biomedical Informatics programme is a 1 year, full-time or 2 years part-time 40 units degree with 2 specialisations in Analytics or Hospital Management. 

ANALYTICS SPECIALISATION:
Students will be trained to reason, critically analyse, and subsequently evaluate the effectiveness of clinical decision support systems, as well as to lead and implement strategic clinical innovations or projects.

HOSPITAL MANAGEMENT SPECIALISATION:
Aimed at training students in various aspects of hospital work, such as implementation of public health policies, evidence-based patient care and clinical decision support systems.

Programme Requirements

Core/Essential Courses (20 Units)

The core curriculum comprises five compulsory courses (totaling 20 Units), including a Capstone Project.

Students are required to:

• Complete 5 courses from the Core Course list (20 Units) and;
• Choose and complete 5 courses from the Elective Course list for each specialisation (20 Units)

S/N	Course Title	Course code	Units
1	Advanced Biomedical Informatics	BMI5101	4
2	Capstone Project	BMI5111	4
3	Medical Data and Data Processing	BMI5207	4
4	Advanced Agile Project Management	BMI5306	4
5	Software Development Fundamentals	IT5001X	4

Elective Courses

Students must choose a specialisation (either Analytics or Hospital Management) and complete five courses (20 Units) from the list of electives offered for that specialisation.

Analytics Specialisation

S/N	Course Title	Course code	Units
1	Health Sciences for Non-Clinicians *Not for clinicians	BMI5102	4
2	Advanced Scientific Research Methods	BMI5109	4
3	Molecular Informatics	BMI5110	4
4	Advanced Human Factors Engineering	BMI5206	4
5	Data Structures and Algorithms	IT5003	4
6	Artificial Intelligence	IT5005	4
7	Fundamentals of Data Analytics	IT5006	4
8	Advanced Statistical Learning	SPH6004	4
9	Advanced Statistical Methods for Bioinformatics *Not available in AY 25/26 Semester 2	MDG5241	4

Hospital Management Specialisation

S/N	Course Title	Course Code	Units
1	Health Sciences for Non-Clinicians *Not for clinicians	BMI5102	4
2	Clinical Decision Support Systems	BMI5106	4
3	Advanced Evidence Based Patient Care	BMI5107	4
4	Advanced Value Based Healthcare	BMI5108	4
5	Advanced Scientific Research Methods	BMI5109	4
6	Advanced Clinical Data Systems	BMI5201	4
7	Ethics of Health Data and Artificial Intelligence	MDG5248	4
8	Artificial Intelligence	IT5005	4
9	Fundamentals of Data Analytics	IT5006	4
10	Implementing Public Health Programmes and Policies	SPH5007	4
11	Economic Methods in Health Technology Assessment	SPH5412	4
12	Health Behaviour and Communication	SPH5003 * From AY23/24	4
13	Introduction to Integrated Care *Not available (until further notice)	SPH5416	4
14	Health Economics and Financing	SPH5401	4
15	Advanced Statistical Learning	SPH6004	4
16	Digital Agility & Change Leadership	DL5102	4
17	Strategic Thinking & Digital Foresight	DL5201	4
18	Managing Digitalisation Complexity	DL5302	4

• Not all the courses are offered in the same semester or in the same format every year. Students are responsible in ensuring that they do not register for courses with any timetable clashes, and are able to attend classes and sit for examinations as scheduled.
• Students may refer to NUSMODS for the course timetable and exam time.

-

Programme Duration

• 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). 

Applicants must fulfill the following admission requirements. Please note that meeting the minimum requirements does not imply automatic admission into the MSc in Biomedical Informatics programme.

• 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 experience may be considered on a case-by-case basis.
• Candidates should submit a Statement of Purpose of not more than 2,000 characters (about 300 words) and upload it as a document in Word or PDF format. The statement should showcase your academic strength, research interests, motivation to study and long-term development goals.
• Candidates should submit a Curriculum Vitae (CV) which provides an overview of your relevant experience, skills and qualifications and accomplishments.
• Admission is on a competitive basis and candidates with relevant industry experience will be considered favourably.
• International applicants* are to submit TOEFL or IELTS test scores as evidence which demonstrates their language ability and readiness for graduate study.
• 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.

*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.

• Students have to register courses on the ModReg@EduRec system.
• Students will bear the consequences of their decisions in adding/dropping courses, which may result in a delay in their graduation if not planned properly.
• Not all courses are offered in the same semester or in the same format every year. 
• A full-time student may read up to five courses per regular semester (not including essential courses pre-designated by the programme). Part time student may read up to 2 courses per semester.
• Students are responsible in ensuring that they do not register for courses with any timetable clashes, and are able to attend classes and sit for examinations as scheduled. Course timetable can be found here.

The University has not engaged any external agencies to undertake graduate student recruitment on its behalf. Candidates interested in our graduate programmes are advised to apply directly to the University and not through any agents. Candidates who apply through agents will not have any added advantage in gaining admission and the University reserves the right to reject such applications without providing a reason.

Click here for the Applicant Guide

Apply via the Application Portal

The AY2026/27 tuition fees for newly admitted students to the Master of Science in Biomedical Informatics by Coursework programme are as follows.

Nationality	Full-Time / Part-Time
Singapore Citizens/Singapore Permanent   Residents/International students	S$68,538 (inclusive of prevailing GST)

• All Singaporeans and Singapore PR (Non-alumni) will receive a 10% tuition fee rebate.
• All NUS alumni will receive a 20% tuition fee rebate
  • Tuition fees may be offset using SkillsFuture Credit, please check SSG portal for more information.
  • National Medical Research Council (NMRC) grant applicable, subjected to approval.

Refer here for 2026/27 payment schedule. 

Refer here for 2025/26 payment schedule.

Refer here for FAQ on fee rebate.  

*Acceptance fee is non-refundable.

---

Student Fees

Graduation Requirement

• ‎Read and pass five core courses and five elective courses that are in the course list.
• Obtained a minimum Grade Point Average (GPA) of 3.0 out of 5.0 or, equivalently, an average grade of at least B-.

Graduation Matters

• Degree Conferment and Commencement
• Degree Scroll Collection
• Transcript

Continuation Requirement

For continuation of candidature a student must obtain satisfactory progress during his/her candidature (Coursework), i.e.,

• Student will be issued a warning for any semester in which his/her GPA falls below 3.00. If in the following semester, the student’s GPA again falls below 3.00 but is above 2.50, he/she will be placed on probation.
• Student’s candidature may be terminated and refused re-admission if he/she obtains
  • GPA < 1.5 in the first semester of study; or
  • GPA < 2.50 for two consecutive semesters of study; or
  • GPA < 3.00 for three consecutive semesters of study
• GPA for continuation is computed based on all modules read, be it pass or fail.