Master of Science in Business Analytics

Master (Coursework)

Programme Type

Full-time

Master of Science in Business Analytics

msba@ntu.edu.sg

The MSc Business Analytics (MSBA) equips participants to excel in the domain of business analytics.

The curriculum imparts a strong business sense through the teaching of business strategy and the tools to appreciate the insights from the analysis of data through courses such as AI and Big Data in Business and Data Management and Visualisation. The learning for this programme adopts a very hands-on approach, with two projects allowing participants to apply classroom knowledge to real-world business situations.

 

  

FUTURE-FOCUSED CURRICULUM
Our MSBA programme bridges technical and business expertise across management, marketing, finance, and operations. Tailor your degree with elective concentrations in Finance, Marketing, or Technology & Operations, while gaining vital exposure to AI, automation, blockchain, and other technologies that are shaping the future of business.

INDUSTRY RELEVANCE & EXPOSURE
Our curriculum is designed alongside industry partners to meet evolving business demands. You will gain access to real data and internship opportunities through a practicum to apply classroom learning in real-world settings. This invaluable industry exposure enhances your analytics expertise and boosts your employability in this field.

ENHANCED BY NTU’S ESTABLISHED STRENGTHS
Leverage the combined prestige and technical expertise of Nanyang Technological University’s College of Computing and Data Science and the School of Physical and Mathematical Sciences to master cutting-edge data analytics.

Applicants who wish to apply to the MSc Business Analytics are required to meet the minimum admission requirements below: 

  • A good Bachelor's degree from any discipline 
  • GMAT or GRE score is optional
  • TOEFL/IELTS for applicants whose first degree was taught in a language other than English 
  • Work experience is not required 

The institutional code for the following tests are: 

GMAT: V24-ZV-70
GRE: 3123
TOEFL: 9705 

Full-time programme will start in July. 

The following are minimum admission requirements. Meeting these criteria does not guarantee admission, as selection is competitive.

 

Application Deadlines:

  • Round 1: 30 November
  • Round 2: 31 January
  • Round 3: 31 March

Applications will be reviewed on a rolling basis and early submission is encouraged.


Programme Fee (
2027 Intake):
Full-Time: S$75,210.00 (inclusive of 9% GST and enrolment fee)

Application Fee:
S$100

Conducted in English, all classes are held at Nanyang Technological University’s main campus. Our programme allows you to study on a full-time basis over one year.

The MSBA curriculum blends core classes with electives, allowing you to focus on Finance, Marketing, or Technology & Operations.

Core Courses
AI and Big Data in Business
Advanced Database Management
Advanced Programming
Analytics and Machine Learning in Business
Analytics Strategy
Applications of Statistics
Data Management and Visualisation
Design Thinking & Technology Management
Programming Essentials
Strategies for Digital Transformation in Business

Finance
AI with Advanced Predictive Techniques in Finance
Data Analytics for Credit and Related Risk
Information Systems & ERP (SAP)
Time Series for Business Analytics

Marketing
Analytics Storification with Neuroscience
Beyond Algorithms: The Future of AI and GenAI Innovations
Causal Inference
Digital Marketing in the Age of AI

Technology & Operations
Advanced Prescriptive Analytics with Generative AI
Introduction to Cyber Security
Leading Business Analytics Projects
Machine Learning Methodology
Office Process Automation with Python
Operations Analytics
Robotic Process Automation (RPA) for Analytics
Graduates from the programme are typically considered in business analyst roles. Through the programme’s strong industry partnerships, participants can also take advantage of internship opportunities with industry leaders such as DBS, KPMG and GE Digital. These open doors to strong employment prospects and provide relevant practical experience to prepare graduates to take on business analytics roles.

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