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 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 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 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 World University Rankings: Business Masters Rankings 2021

APPLICATION FOR ADMISSION

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

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

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

ADMISSION REQUIREMENTS

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
International applicants:

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 MSBA programme each year, meaning that each component has no minimum cut-off.

MODE OF STUDY AND PROGRAMME CANDIDATURE

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

PROGRAMME STRUCTURE

The NUS MSBA is a 44-modular credit (MC) coursework-based Master’s Degree programme comprising: 

  • Core modules (20 MCs), with a three-to-six-month capstone project (12 MCs), and
  • Elective modules (12 MCs)
Core Modules

Students will complete five essential modules 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 Modules

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

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

Elective Modules

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

These elective modules 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 modules. Through these elective modules, 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 modules from the respective participating faculties, subject to approval by the Academic Committee.

View Modules

 Big Data Analytics Techniques
Module Code Module Title MCs
CS5344 Big-Data Analytics Technology 4
CS5224
Cloud Computing
4
CS5242
Neural Networks and Deep Learning
4
Consumer Data Analytics
Module Code
Module Title
MCs
BT5126
Hands-on with Business Analytics (Consumer)
4
DBA5104 Introduction to Network Science & Analytics 4
Financial & Risk Analytics
Module Code
Module Title
MCs
DBA5105
Fintech, Enabling Technologies and Analytics
4
DBA5109 Quantitative Risk Management 4
Healthcare Analytics
Module Code
Module Title
MCs
SPH5412
Economic Methods in Healthcare Technology Assessment
4
TBA4250 Healthcare Analytics 4
SPH5411
Information Technology in Healthcare
4
Statistical Modelling
Module Code
Module Title
MCs
ST5214
Advanced Probability Theory
4
ST5215 Advanced Statistical Theory I 4
ST5222
Advanced Topics in Applied Statistics
4
ST5202 Applied Regression Analysis 4
ST5213
Categorical Data Analysis II
4
ST5207 Nonparametric Regression 4
ST5212
Survival Analysis
4

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


GRADUATION REQUIREMENTS

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

Programme and/or Specialisation

Read and pass a total of 40 MCs, comprising:

  • 20 MCs of core modules
  • 12 MCs of capstone project, and
  • 12 MCs of elective modules
Module and/or Graduate Certificate

Not applicable 

Cumulative Average Point (CAP) 

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


FEES AND FINANCIAL ASSISTANCE

Kindly note that all fees for the NUS MSBA programme quoted on this page are exclusive of prevailing GST, unless otherwise stated. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice.

Tuition

Singaporeans and Singapore Permanent Resident (SPRs):
S$53,000 (excluding GST)

International students:
S$58,000 (excluding GST)

Financial Assistance

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

Singapore Digital Scholarship – Offered by the Infocomm Media Development Authority to groom aspiring ICM talents to become industry-ready in a fast-evolving digital economy

SkillsFuture Study Award for Infocomm Technology – Supports individuals with a keen interest in pursuing a career in the Information Communication Technology sector

SkillsFuture Study Award for Financial Services – Supports individuals with a keen interest in pursuing a career in the Finance sector

Institute of Banking and Finance Singapore (IBF) Financial Training Scheme – Provides financial support to individuals who aim to enhance their skills as part of Singapore's financial sector workforce

IBF Standards Training Scheme – Provides financial support for training and assessment programmes accredited under the IBF Standards

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

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

For more about loans and other financial assistance, please refer to the NUS Office of Admissions.

Application

S$100 (inclusive of GST)

• Non-refundable and non-transferable

Acceptance

S$4,000 (excluding GST)

• 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 Webinar(s):

Tue, 16 Nov 2021,
8.30pm–9.30pm (SGT):

MSc in Business Analytics Info Session

Coming soon!


Next Intake:

Application Period:
11 Oct 2021 — 31 Jan 2022

Coming soon!

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

FREQUENTLY ASKED QUESTIONS

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

For more Frequently Asked Questions, click here.

For enquiries, please email us at pgc@nus.edu.sg.

 
08 September 2021