The National University of Singapore (NUS) Master of Science in Business Analytics (MSBA) is a graduate degree programme offered by the NUS Business Analytics Centre (BAC). It is designed and taught by award-winning academics from NUS Business School and NUS Computing.

The NUS MSBA aims to equip professionals with business analytics skills that will meet the growing demands of companies looking to improve their operations through data analytics.

Offered in Singapore for local and overseas students as a full-time (13-month) or part-time (two-year) programme, the NUS MSBA is designed to facilitate experiential learning through a balance of intellectual academic rigour and hands-on applications.

Students in the programme will gain the competencies needed to excel in the data analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare.

The NUS MSBA programme boasts strong connection to industry partners in the business data analytics field across various sectors. Students and graduates of the programme can interact with and learn from the leaders in this community to enhance their career prospects and competencies in the business analytics field.

Upon completion of the programme, NUS MSBA graduates will be able to use relevant data-driven techniques and tools to understand and resolve complex business analytics problems, a skill highly sought after across different industries and environments, both locally and internationally.

Why This Programme?

  • Join one of the world’s highest-ranked Master’s degree programmes in Business Analytics*

  • Get the best of both the business and computing worlds through a programme that combines insights into business and operations with a deep understanding of the latest advances in Artificial Intelligence, Machine Learning and Big Data.

  • Gain hands-on experience with industrial analytics projects aimed at solving real-life problems.

* QS Business Masters Rankings: Business Analytics 2022


Application Period
An Academic Year (AY) at NUS* consists of two semesters and a special term (which occurs during the Semester 2 Vacation, and is divided into two parts of six weeks duration each):

  • Semester 1: Aug–Dec
  • Semester 2: Jan–May
  • Special Term (Part 1): May–Jun
  • Special Term (Part 2): Jun–Jul

* The NUS MSBA programme adopts a slightly different calendar, which can be viewed here.

For the NUS MSBA programme, there is one application period for each AY:

Programme Intake Application Dates
NUS MSBA Semester 1
(Aug Intake)
Oct of preceding year to Jan of intake year


Admission to the NUS MSBA programme is granted on a competitive basis as places in the programme are limited. Applicants should possess the following minimum requirements:


Bachelor's Degree (with Honours) preferably in Business, Economics, Computing, Mathematics, Engineering, Science or Statistics

Note: Candidates with academic qualifications other than the above may be considered on a case-by-case basis, subject to approval by the department


For holders of Bachelor’s Degrees without honours and Bachelor’s Degrees other than Business Analytics or related disciplines (see above), two years of relevant work experience

A strong foundation in Mathematics

English Language
Not applicable

International applicants:

  • Graduate Record Examinations (GRE), or
  • Graduate Management Admission Test (GMAT)

Graduates from NUS, Nanyang Technological University, Singapore Management University and Singapore University of Technology and Design are exempted from the GRE/GMAT requirement.

Note: GRE scores are valid for five years from the test date and should not have expired at point of application. Expired scores will not be considered for the application.

Note: All credentials will be weighted based on the quality of applicants applying for the NUS MSBA programme each year, meaning that each component has no minimum cut-off.

Applicants are responsible for ensuring that application information and all supporting documents are truthful and correct. NUS reserves the right to verify information provided as part of an application. False or misleading information in an application (including but not limited to test scores, resumes, certificates, transcripts, etc.) is grounds for admission rejection, revocation and/or dismissal from the University.


The NUS MSBA programme is offered on the following basis (with estimated time to complete the programme indicated below):

 Full-time  13 months 
 Part-time  24 months

Note: International applicants must be accepted into an approved full-time course in Singapore to apply for a Student’s Pass. For more information, refer to the Singapore Immigration & Checkpoints Authority (ICA) website.


The NUS MSBA is a 44-Unit coursework-based Master’s Degree programme comprising: 

  • Core/essential courses (20 Units), with a three-to-six-month capstone project (12 Units), and
  • Elective courses (12 Units).
Core/Essential Courses

Students will complete five essential courses to build a cross-disciplinary foundation for Business Analytics and engage in rigorous study beyond the assumed disciplinary borders. This covers the interface between computer science, statistics, and other professional disciplines in the NUS Education framework. Students who know first-year undergraduate mathematics, specifically calculus and linear algebra and programming knowledge would have an advantage.

View Courses

Course Code Course Title Units
DBA5101 Analytics in Managerial Economics 4
Data Management and Warehousing
Operations Research and Analytics
Foundation in Business Analytics
Advanced Analytics and Machine Learning
Capstone Project

* Part-time students are recommended to do their capstone project with the company they are working for.

Elective Courses

In addition to essential courses, students are required to take three elective courses from at most two of the following vertical sectors.

These elective courses will help them delve deeper into understanding different analytic techniques required for specific industry sectors and build upon knowledge, concepts and skills learnt in essential courses. Through these elective courses, students innovate, devise and refine techniques and tools to solve complex problems.

Students who aspire to be Business Analytics experts in other vertical sectors beyond the five below may take relevant advanced courses from the respective participating faculties, subject to approval by the Academic Committee.

View Courses

 Big Data Analytics Techniques
Course Code Course Title Units
CS5344 Big-Data Analytics Technology 4
Cloud Computing
Neural Networks and Deep Learning
Consumer Data Analytics
Course Code
Course Title
Hands-on with Business Analytics (Consumer)
DBA5104 Introduction to Network Science & Analytics 4
Financial & Risk Analytics
Course Code
Course Title
Fintech, Enabling Technologies and Analytics
DBA5109 Quantitative Risk Management 4
Healthcare Analytics
Course Code
Course Title
Economic Methods in Healthcare Technology Assessment
TBA4250 Healthcare Analytics 4
Information Technology in Healthcare
Statistical Modelling
Course Code
Course Title
Applied Regression Analysis
ST5207 Nonparametric Regression 4
Survival Analysis
ST5213 Categorical Data Analysis II 4

Note:The list of elective courses above is not exhaustive and is subject to change. For more information about the courses listed above (as well as other courses offered in the current academic year), please visit NUSMODS.


To graduate from the NUS MSBA programme, students must meet the following requirements:

Programme and/or Specialisation

Read and pass a total of 40 Units, comprising:

  • 20 Units of core/essential courses
  • 12 Units of capstone project, and
  • 12 Units of elective courses
Course and/or Qualification

Not applicable 

Grade Point Average (GPA) 

Minimum 3.0 (out of maximum 5.0)

Please see also the University’s minimum standards for Continuation and Graduation Requirements specific programmes may implement stricter or additional requirements.


Not applicable


Kindly note that all fees for the NUS MSBA programme quoted on this page are exclusive of prevailing GST, unless otherwise stated (GST rate will be increased from 8% to 9% with effect from 1 Jan 2024). The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.


S$65,000.00 (excluding GST) /
S$70,850.00 (including 9% GST)

Financial Assistance

Starting AY2023/2024, tuition fee rebates will be provided for this programme as an NUS Master's Degree by Coursework programme not subsidised by the government:
• All Singaporeans and Singapore PRs (non-NUS alumni) will receive a 10% tuition fee rebate
• All NUS alumni will receive a 15% tuition fee rebate

Students in this programme have in the past been eligible for, or received funding support from:

NUS BAC Scholarships — The NUS BAC Merit Scholarship and the NUS BAC Global Scholarship are merit-based scholarships offered by NUS BAC; candidates who have accepted the offer to enrol in the NUS MSBA programme by paying the acceptance fee are eligible to be considered for a scholarship (no separate application is required)

Singapore Digital (SG:D) Scholarship (Postgraduate) (Singapore Citizens only) — An industry scholarship offered by the Infocomm Media Development Authority that empowers individuals interested in pursuing Infocomm Media-related studies at the Master's or PhD level

Institute of Banking and Finance Singapore (IBF) Financial Training Scheme (Company-sponsored individuals only) — Provides funding for financial sector-specific training courses that are recognised under the Financial Training Scheme and not accredited under the Skills Framework for Financial Services (SFwFS)

IBF Standards Training Scheme — Provides funding for training and assessment courses that cover key skills needed in the financial sector and are accredited under the SFwFS

MOHH Talent Scholarship — Awarded to local undergraduates and graduates who have a passion for contributing to the public healthcare sector in Singapore

Lee Kuan Yew Scholarship (Singapore Citizens only) — Synonymous with both prestige and a willingness to serve Singapore, the Lee Kuan Yew (LKY) Scholarship marks Singapore’s continuous effort to recognise outstanding individuals with the aptitude and inclination to contribute to our society

CIMB ASEAN Scholarship (Malaysia, Indonesia, Singapore, Thailand, Cambodia, Vietnam or Philippines Citizens only) — A highly selective, full scholarship for exceptional students from ASEAN countries in which CIMB has a presence

To view the complete list of available scholarships in Singapore for Master in Data or Business Analytics, click here.


S$100.93 (including 8% GST, with effect from 1 Jan 2023);
S$101.87 (including 9% GST, with effect from 1 Jan 2024)

• Non-refundable and non-transferable


S$4,037.38 (including 8% GST, with effect from 1 Jan 2023);
S$4,074.77 (including 9% GST, with effect from 1 Jan 2024)

• Payable upon acceptance of offer
• Non-refundable and non-transferable
• Will be credited towards tuition fees

Miscellaneous Student Fees

As published by NUS Registrar’s Office

• Payable every regular semester

Programme at a Glance*

Upcoming Event(s):

Watch this space for updates!

Next Intake:

Application Period:
16 Oct 2023–31 Jan 2024

Updating soon!

* For full details, please refer to main write-up.

For enquiries, contact us.

MSBA Info Session

NUS MSBA: Meet Jerry and Stella

NUS MSBA: Meet Lin Du and Jen

NUS MSBA: Meet Jodi and Jian Sheng

NUS MSBA: Meet Samin and Johnny


For Frequently Asked Questions relevant to the NUS MSBA, please click here.

For enquiries, contact us.

We will guide you through the next steps of your transformative journey.

21 August 2023