MSc in Business Analytics

NUS Business Analytics Centre

Programme at a Glance

Intake and Application

Next Intake Aug 2025

Application Period 14 Oct 2024–31 Jan 2025

Apply Now!

Overview

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 Master's Rankings 2025: Business Analytics}

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
MSc 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:

Academic	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.
Skill/Experience	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
Other	Highly recommended for international applicants: Graduate Record Examinations (GRE), or Graduate Management Admission Test (GMAT) 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 (20 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.

Course Code	Course Title	Units
BT5110	Data Management and Warehousing	4
DBA5101	Analytics in Managerial Economics	4
DBA5103	Operations Research and Analytics	4
DBA5106	Foundation in Business Analytics	4
BT5151	Advanced Analytics and Machine Learning	4
DBA5102	Capstone Project	12

^{* 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.

Big Data Analytics Techniques

Course Code	Course Title	Units
CS5344	Big-Data Analytics Technology	4
CS5224	Cloud Computing	4
CS5242	Neural Networks and Deep Learning	4

Consumer Data Analytics

Course Code	Course Title	Units
BT5126	Hands-on with Business Analytics (Consumer)	4
DBA5104	Introduction to Network Science & Analytics	4

Financial & Risk Analytics

Course Code	Course Title	Units
DBA5105	Fintech, Enabling Technologies and Analytics	4
DBA5109	Quantitative Risk Management	4

Healthcare Analytics

Course Code	Course Title	Units
SPH5411	Information Technology in Healthcare	4
SPH5412	Economic Methods in Healthcare Technology Assessment	4
TBA4250	Healthcare Analytics	4

Statistical Modelling

Course Code	Course Title	Units
ST5202	Applied Regression Analysis	4
ST5207	Nonparametric Regression	4
ST5212	Survival Analysis	4
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.
Other	Not applicable

The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.

Tuition	S$65,000.00 (excluding GST) / S$70,850.00 (including 9% GST)
Application	S$100.00 (including 9% GST) Non-refundable and non-transferable
Acceptance	S$10,900.00 (including 9% GST) Payable upon acceptance of offer Non-refundable and non-transferable Will be credited towards tuition fees
Miscellaneous Student Fees	As published by Office of the University Registrar Payable every regular semester

Scholarships & Financial Assistance

The scholarships and financial assistance schemes presented here are examples of the kinds of funding from the University as well as third-party sponsors that might be available to eligible NUS Master's Degree (Coursework) programme students and applicants.

The information provided is subject to change, and warranties cannot be provided as to its completeness or accuracy. Students and applicants are strongly encouraged to conduct their own research, and refer to the relevant sponsors and/or websites for more detailed and up-to-date information.