Bachelor of Science in Business Analytics

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 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.

Students with CAP of 4.00 or higher may opt to replace IS4010 Industry Internship Programme by BT4101 B.Sc. Dissertation. Students who aim for Honours (Highest Distinction) must pass the BT4101. 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 opt to replace the IS4010 Industry Internship Programme by BT4101 (12 MCs).

Students under the NUS cooperative education programme will need to take BT4011 Business Analytics Capstone Industry Project rather than BT4101. 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 in lieu of IS4010. 


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/N 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 modules (CP3208 and CP3209) in place of the Business Analytics Capstone Project module (BT4103) in the Core modules requirement. CP3208  and CP3209 are independent study modules (ISM) which will be counted as 2 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), 2 Inquiry module (CP3208 & CP3209/USP-ISM replacing BT3101)
    • ULR: 3 Inquiry modules and 2 Foundation modules
    • UE: 1 Reflection module and 2 Inquiry modules

     

Summary of degree requirements for BSc (Business Analytics)

Modules

MCs

Sub totals

UNIVERSITY LEVEL REQUIREMENTS 1

 

20

PROGRAMME REQUIREMENTS

 

108

Core Modules

72

 

BT1101 Introduction to Business Analytics

4

 

CS1010S Programming Methodology

4

 

EC1301 Principles of Economics 2

4

 

IS1103 Ethics in Computing

4

 

MA1311 Matrix Algebra, or MA1101R Linear Algebra I3

4

 

MA1521 Calculus for Computing, or MA1102R Calculus3

4

 

MKT1705X Principles of Marketing

4

 

BT2101 Decision Making Methods and Tools

4

 

BT2102 Data Management and Visualisation

4

  
CS2030 Programming Methodology I 4  
CS2040 Data Structures and Algorithms 4  

IS2101 Business and Technical Communication4

4

 

ST2334 Probability and Statistics5

4

 

BT3102 Computational Methods for Business Analytics

4

 

BT3103 Application Systems Development for Business Analytics

4

 
IS3103 Information Systems Leadership and Communication 4  

BT4103 Business Analytics Capstone Project

8

 

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 Lists A and B. 5 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
MKT4418 Marketing Analytics
 

List B (Analytics Methods):

IE2110 Operations Research I 6, or DBA3701 Introduction to Optimisation
CS3244 Machine Learning
DBA3803 Predictive Analytics in Business
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
ST3131 Regression Analysis 7
ST4245 Statistical Methods for Finance

List C (Technology Implementation):
IS3221 ERP Systems with Analytics Solutions
IS3261 Mobile Solutions Design and Development
BT4014 Analytics Driven Design of Adaptive Systems
IS4228 Information Technologies in Financial Services
IS4302 Blockchain and Distributed Ledger Technologies

Specialisations:
To be awarded the Financial Analytics Specialisation, students must satisfy the followings:
Compulsory modules (do all 3 modules):
• BT4013 Analytics for Capital Market Trading and Investment
• BT4016 Risk Analytics for Financial Services
• IS4228 Information Technologies in Financial Services 

Elective modules (select any 3 modules):
• BT4012 Fraud Analytics 
• BT4221 Big Data Techniques and Technologies
• BT4222 Mining Web Data for Business Insights 
• IS4234 Compliance and Regulation Technology
• IS4302 Blockchain and Distributed Ledger Technologies


To be awarded the Marketing Analytics Specialisation, students must satisfy the followings:
Compulsory modules (do all 3 modules):
• BT4211 Data-Driven Marketing
• BT4212 Search Engine Optimization and Analytics
• BT4222 Mining Web Data for Business Insights

Elective modules (select any 3 modules):
• BT4014 Analytics Driven Design of Adaptive Systems
• BT4015 Geospatial Analytics
• BT4221 Big Data Techniques and Technologies
• IS3240 Digital Platform Strategy and Architecture
• IS4241 Social Media Network Analysis

All modules are 4 MCs modules

 

IS4010 Industry Internship Programme8  or BT4101 B.Sc. Dissertation

12

 

UNRESTRICTED ELECTIVES

 

32

Grand Total

 

160

Notes:
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.
7:  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 BSc (BA) programme elective requirement.
8: 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.