Overview

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.

Students in the Co-operative programme who aim for Honours (Highest Distinction) must pass the BT4101 and count it towards unrestricted electives. Students with CAP of 4.00 or higher after completing at least 70% (i.e. 112 MCs) of the MC requirement for the degree programme may apply to read BT4101 (12 MCs).

Note that the BT4101 project selection process takes place one semester ahead of the semester in which the students commence BT4101. Thus the students can tentatively select BT4101 projects; but the condition "CAP of 4.00 or higher after completing at least 70% (112 MCs) of the MC requirement for the degree programme" must be satisfied before they can commence BT4101.


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. It is replaced by USP Foundation module: Writing and Critical Thinking.
  • They have module exemption via directly recognising up to 8 MCs of SoC prescribed modules towards USP Inquiry cum ISM requirement.

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

Modules

MCs

Sub totals

UNIVERSITY LEVEL REQUIREMENTS 1

 

16

PROGRAMME REQUIREMENTS

 

120

Core Modules

64

 

BT1101 Introduction to Business Analytics

4

 

CS1010S Programming Methodology

4

 

IS1103 Ethics in Computing or
IS1108 Digital Ethics and Data Privacy

4

 

MA1311 Matrix Algebra, or MA2001 Linear Algebra I3

4

 

MA1521 Calculus for Computing, or MA2002 Calculus3

4

 

BT2101 Econometrics Modeling for Business Analytics

4

 

BT2102 Data Management and Visualisation

4

 
BT2103 Optimization Methods in Business Analytics  4  
BT2201 Business Concepts and Metrics for Analytics 4  
CS2030 Programming Methodology II 4  
CS2040 Data Structures and Algorithms 4  

IS2101 Business and Technical Communication4

4

 

ST2334 Probability and Statistics 5

4

 

BT3102 Computational Methods for Business Analytics

4

 

BT3103 Application Systems Development for Business Analytics

4

 

IS3103 Information Systems Leadership and Communication 4  

Programme Electives (PE)

24

 

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. 4 of 6 modules must be at level-4000. 

List A (Business Applications):
DBA3712 Dynamic Pricing and Revenue Management
IE3120 Manufacturing Logistics
IS3240 Digital Platform Strategy and Architecture
BT4013 Analytics for Capital Market Trading and Investment
BT4016 Risk Analytics for Financial Services
BT4211 Data-Driven Marketing
BT4212 Search Engine Optimization and Analytics
DBA4811 Analytical Tools for Consulting
IS4241 Social Media Network Analysis
IS4250 IT-enabled Healthcare Solutioning
MKT4812 Marketing Analytics

List B (Analytics Methods):
BT3017 Feature Engineering for Machine Learning
CS3244 Machine Learning
IE2110 Operations Research I6 or DBA3701 Introduction To Optimisation
DBA3803 Predictive Analytics in Business
ST3131 Regression Analysis 6a
BSE4711 Econometrics for Business II
BT4012 Fraud Analytics
BT4015 Geospatial Analytics
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
ST4245 Statistical Methods for Finance

List C: Technology Implementation:
IS3107 Data Engineering
IS3221 ERP Systems with Analytics Solutions
IS3261 Mobile Apps Development for Enterprise
BT4014 Analytics Driven Design of Adaptive Systems
BT4301 Business Analytics Solutions Development and
Deployment
IS4226 Systematic Trading Strategies and Systems
IS4228 Information Technologies in Financial Services
IS4234 Compliance and Regulation Technology
IS4246 Smart Systems and AI Governance
IS4302 Blockchain and Distributed Ledger Technologies

Specialisations
Students may choose to read one or more specialisations for the BSc(Business Analytics) programme.  In the case of common modules between these specialisations, the extent of double counting should be no more than 8 MCs among the specialisation(s). 

To be awarded the Financial Analytics Specialisation, students must satisfy the followings at 20 MCs:
Set I (select any 2 modules) 6:
• BT4013 Analytics for Capital Market Trading and Investment
• BT4016 Risk Analytics for Financial Services
• IS4228 Information Technologies in Financial Services

Set II (select any 3 modules):
• BT4012 Fraud Analytics
• BT4221 Big Data Techniques and Technologies
• BT4222 Mining Web Data for Business Insights 
• IS3107 Data Engineering
IS4226 Systematic Trading Strategies and Systems
• IS4234 Quality Control and Audit of IS
• IS4302 Blockchain and Distributed Ledger Technologies

To be awarded the Marketing Analytics Specialisation, students must satisfy the followings at 20 MCs:
Set I (select any 2 modules) 6:
• BT4211 Data-Driven Marketing
• BT4212 Search Engine Optimization and Analytics
• BT4222 Mining Web Data for Business Insights

Set II (select any 3 modules):
• BT3017 Feature Engineering for Machine Learning
• BT4014 Analytics Driven Design of Adaptive Systems
• BT4015 Geospatial Analytics
• BT4221 Big Data Techniques and Technologies
• IS3107 Data Engineering
• IS3240 Digital Platform Strategy and Architecture
• IS4234 Compliance and Regulation Technology
• IS4241 Social Media Network Analysis

Machine Learning-based Analytics Specialisation (new)

To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings at 20 MCs:

Set I
 (Select any 2 modules)7

• BT3017 Feature Engineering for Machine Learning
• BT4222 Mining Web Data for Business Insights
• IS4242 Intelligent Systems and Techniques


Set II
 (Select any 3 modules): 

• BT4012 Fraud Analytics
• BT4221 Big Data Techniques and Technologies
• BT4240 Machine Learning for Predictive Data Analytics
• BT4301 Business Analytics Solutions Development and
Deployment
• CS3243 Introduction to Artificial Intelligence
• CS3244 Machine Learning
• IS3107 Data Engineering
• IS4246 Smart Systems and AI Governance

All modules are 4MCs modules.

 

Co-Operative Internship Scheme

32

 

BT2010 Business Analytics Immersion Programme 6  
BT4010 Business Analytics Internship Programme 7 12  
BT4011 Business Analytics Capstone Industry Project 8 14  

UNRESTRICTED ELECTIVES

 

24

Grand Total

 

160

Notes:
1 : Students can refer to: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education/for-students-admitted-from-AY2021-22 for the requirements for University Level Requirements.Two programme requirements are used to satisfy the new university level requirements, specifically BT1101 will satisfy the Data Literacy pillar and CS1010S will satisfy the Digital Literacy pillar.
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 : Taught by the Centre for English Language Communication.
4 :  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.
: Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
: Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the module requirement for the specialisation.
7
 : BT4010 is equivalent to IS4010 (which is offered in regular programme).
8 : BT4011 covers the equivalent contents to BT4103