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 three lists of either functional or methodological or technological 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.

University Scholars Programme (Business Analytics)

Students in the University Scholars Programme (USP) who choose the Bachelor of Science (Business Analytics) Co-operative Education 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 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 (16 MCs). These are replaced by the USP Reflection module of Senior Seminar and 3 USP Inquiry modules.

Summary of degree requirements for BSc (Business Analytics) - Co-operative Education Programme 



Sub totals







Core Modules



BT1101 Introduction to Business Analytics



CS1010S Programming Methodology



(CS1020 Data Structures and Algorithms I and CS2010 Data Structures and Algorithms I), or
(CS2030 Programming Methodology II and CS2040 Data Structures and Algorithms)



EC1301 Principles of Economics 2



IS1103/X IS Innovations in Organisations and Society



MA1311 Matrix Algebra and Applications, or MA1101R Linear Algebra I3



MA1521 Calculus for Computing, or MA1102R Calculus3



MKT1705X Principles of Marketing



BT2101 Decision Making Methods and Tools



BT2102 Data Management and Visualisation



IS2101 Business and Technical Communication4



ST2334 Probability and Statistics 5



BT3102 Computational Methods for Business Analytics



BT3103 Application Systems Development for Business Analytics



IS3103 Information Systems Leadership and Communication 4  

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 List A and List B. 5 of 6 modules must be at level-4000. 

Option 2:

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

BT4101 B.Sc. Dissertation

List A (Business Applications):
DBA3712 Dynamic Pricing and Revenue Management
IE3120 Manufacturing Logistics
IS3240 Digtial Platform Strategy and Architecture
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
DBA4811 Analytical Tools for Consulting
IS4250 Healthcare IT and Analytics
MKT4812 Marketing Analytics

List B (Analytics Methods):
CS3244 Machine Learning
IE2110 Operations Research I6 or DBA3701 Introduction To Optimisation
DBA3803 Predictive Analytics in Business
BSE4711 Econometrics for Business II
BT4221 Big Data Techniques and Technologies
BT4222 Mining Web Data for Business Insights
BT4240 Machine Learning for Predictive Data Analytics
IS4241 Social Media Network Analysis
IE4210 Operations Research II
ST3131 Regression Analysis 6a
ST4245 Statistical Methods for Finance

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

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


Co-Operative Internship Scheme



BT2010 Business Analytics Immersion Programme 6  
BT4010 Business Analytics Internship Programme 7 12  
BT4011 Business Analytics Practicum Programme 8 14  




Grand Total



1 : Students can refer to: http://www.nus.edu.sg/registrar/gem/home for the requirements for University Level Requirements..
2 : Students who have done EC1101E Introduction to Economic Analysis can use it to replace EC1301.
3 : Students are encouraged to take these MA module options should they wish to pursue a more rigorous treatment of the subject topics covered.  
4 : Taught by the Centre for English Language Communication.
5 :  For students taking Second Major in Statistics, they can replace ST2334 with ST2131 to meet first major requirement. For students taking the Second Major in Mathematics, they can replace ST2334 with both ST2131 and ST2132 to meet first major requirement. The MCs for ST2132 come from UE. For students taking the minor in Mathematics, they can replace ST2334 with ST2131 and take ST2132 as an unrestrictive elective to meet first major requirement..
6 : Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
6a: Business analytics students who are doing or contemplating to do minor/second major requiring ST3131 such as Statistics which has more than allowed overlap cannot double count ST3131 towards fulfilling the Business Analytics programme elective requirement.
7 : BT4010 is equivalent to IS4010 (which is offered in regular programme).
8 : BT4011 covers the equivalent contents to BT4103