The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Decision Science, Industrial and Systems Engineering, Computer Science and Information Systems. Students in their third and fourth years of study may choose elective modules from two lists of either functional or methodological elective modules. Functional elective modules span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective modules include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective modules span the most exciting and challenging areas of business analytics practice in the industry today.

NUS Overseas Colleges (NOC) Business Analytics

Students who attended NOC programme may:

  • count TR3201 Entrepreneurship Practicum (8 MCs) partially in lieu BT4101 BSc Dissertation (4 out of 12 MCs) and replace one Business Analytics programme elective at level-3000 (4 MCs).
  • count TR3202 Start-up Internship Programme (12 MCs) towards Industrial Experience Requirement  (i.e. IS4010 Industry Internship Programme)
  • count TR3203 Start-up Case Study and Analysis (8 MCs) partially in lieu of BT4101 BSc Dissertation (8 out of 12 MCs).

University Scholars Programme (Business Analytics)

Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) degree programme will do so with the following variations:

  • They will not be required to read IS2101 Business and Technical Communication in the Core modules requirement. It is replaced by USP Foundation module of Writing and Critical Thinking.
  • They will read the UROP module (CP3208) in place of the Business Analytics Capstone Project module (BT3101) in the Core modules requirement. CP3208 is an independent study module (ISM) which will be counted as 1 USP Inquiry module in the Sciences and Technologies domain.
  • They will read GER1000 Quantitative Reasoning (4 MCs) as compulsory module for the University Level Requirements (ULR). The remaining 16 MCs in ULR are replaced by the 3 USP Inquiry Modules and 1 USP Foundation module ( i.e. University Scholars Seminar).
  • They will not be required to read Unrestricted Electives (20 MCs out of 32 MCs). These are replaced by the USP Reflection module of Senior Seminar and 4 USP Inquiry modules.
  • In summary, the breakdown of 12 USP modules will fit into these MCs requirement categories:
    • Core: 1 Foundation module (Writing and Critical Thinking replacing IS2101), 1 Inquiry module (CP3208/USP-ISM replacing BT3101)
    • ULR: 3 Inquiry modules and 2 Foundation modules
    • UE: 1 Reflection module and 4 Inquiry modules


Summary of degree requirements for BSc (Business Analytics) *

* The following revised degree programme is currently in the process of approval.



Sub totals







Core Modules



BT1101 Introduction to Business Analytics



CS1010S Programming Methodology



CS1020 Data Structures and Algorithms I



EC1301 Principles of Economics



IS1103/X IS Innovations in Organisations and Society



MA1311 Matrix Algebra and Applications, or MA1101R Linear Algebra I2



MA1521 Calculus for Computing, or MA1102R Calculus2



MKT1003X Marketing



BT2101 IT and Decision Making



BT2102 Data Management and Visualisation


CS2010 Data Structures and Algorithms II 4  

IS2101 Business and Technical Communication4



ST2334 Probability and Statistics5



BT3101 Business Analytics Capstone Project



BT3102 Computational Methods for Business Analytics



BT3103 Application Systems Development for Business Analytics



IS3103 Information Systems Leadership and Communication 4  

ST3131 Regression Analysis



Programme Electives (PE)



Option 1:

Choose 6 modules to make up 24 MCs from Lists A, B and C, with at least 2 modules each from Lists A and B. 5 of 6 modules must be at level-4000. 

Option 2:

Choose BT4101 and 3 modules to make up 24 MCs from Lists A, B and C, with at least 1 module each from Lists A and B. 2 of 3 modules must be at level-4000.

BT4101 B.Sc. Dissertation

List A (Business Applications):
DSC3224 Dynamic Pricing and Revenue Management
IE3120 Manufacturing Logistics
IS3240 Economics of E-Business
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
DSC4213 Analytical Tools for Consulting
IS4250 Healthcare Analytics
MKT4415C Seminars in Marketing: Applied Market Research

List B (Analytics Methods):

IE2110 Operations Research I3, or DSC3214 Introduction To Optimisation
CS3244 Machine Learning
DSC3216 Forecasting for Managerial Decisions
BSP4513 Econometrics: Theory & Practical Business Application
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
IS4241 Social Media Network Analysis
IE4210 Operations Research II
ST4240 Data Mining
ST4245 Statistical Methods for Finance

List C (Technology Implementation):
IS3221 Enterprise Resource Planning Systems
IS3261 Mobile Solutions Design and Development
IS4228 Information Technologies in Financial Services
IS4302 Blockchain and Distributed Ledger Technologies

All modules are 4MCs modules, except BT4101 (12 MCs


IS4010 Industry Internship Programme6






Grand Total



1: Students can refer to: http://www.nus.edu.sg/registrar/gem/home for the requirements for University Level Requirements. 
2: Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered.
3: Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
4: Taught by the Centre for English Language Communication.
5: If a student take ST2131 and ST2132 to substitute for the fulfilment of the core requirement for ST2334, the 4 MCs will be counted as programme module and additional 4 MCs will be classified under the unrestricted elective module.
6: Students can choose to take on any current 12 MCs or more internship-related programmes within the School of Computing (e.g., CP3880 Advanced Technology Attachment Programme (ATAP)) and/or within NUS (e.g., Innovative Local Enterprise Achiever Development (iLEAD) and NUS Overseas College (NOC)) in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement.