Business Analytics Cohort 2022/2023
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 courses 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 electives from two lists of either functional or methodological elective courses. Functional elective courses span business functions or sectors of marketing, retailing, logistics, healthcare, etc. Methodological elective courses include those related to big data techniques, statistics, text mining, data mining, social network analysis, econometrics, forecasting, operations research, etc. In sum, these elective courses span the most exciting and challenging areas of business analytics practice in the industry today.
Students with Grade Point Average (GPA) of 4.00 or higher may opt to replace Industrial Experience Requirement by BT4101 B.Sc. Dissertation. Students who aim for Honours (Highest Distinction) must pass the BT4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the total unit requirement for the degree programme may opt to replace the Industrial Experience Requirement by BT4101 (12 units).
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 “GPA of 4.00 or higher after completing at least 70% (112 units) of the total unit 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 ETP3201L Innovation & Enterprise Internship (12 units) or ETP3206L Innovation & Enterprise Internship (12 out of 16 units) towards Industrial Experience Requirement (i.e. IS4010 Industry Internship Programme). The remaining 4 units from ETP3206L will be deemed as unrestricted electives.
- count ETP3202L Innovation & Enterprise Case Study and Analysis (8 units) partially in lieu of BT4101 BSc Dissertation (8 out of 12 units).
- count ETP3203L Innovation & Enterprise Internship Practicum (8 units) partially in lieu of BT4101 BSc Dissertation (4 out of 12 units) and replace one Business Analytics programme elective at level-3000 (4 units).
Summary of degree requirements for BSc (Business Analytics)
Courses | Units | Sub totals |
|---|---|---|
| 40 | ||
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy — CS1010S Programming Methodology | 4 | |
| Critique and Expression — GEX% | 4 | |
| Cultures and Connections — GEC% | 4 | |
| Data Literacy — BT1101 Introduction to Business Analytics | 4 | |
| Singapore Studies — GES% | 4 | |
| Communities and Engagement — GEN% | 4 | |
| Computing Ethics | 4 | |
IS1108 Digital Ethics and Data Privacy | 4 | |
Interdisciplinary & Cross-Disciplinary Education Comprises of Interdisciplinary (ID) Courses and Cross-disciplinary (CD) Courses Students are required to take 12 units from the above courses with at least two ID courses and no more than one CD course to satisfy the 12 units required in this group. | 12 | |
PROGRAMME REQUIREMENTS | 80 | |
Core Courses | 60 | |
MA1311 Matrix Algebra or MA1522 Linear Algebra for Computing or | 4 | |
MA1521 Calculus for Computing or MA2002 Calculus 2 | 4 | |
BT2101 Econometrics Modeling for Business Analytics | 4 | |
BT2102 Data Management and Visualisation | 4 | |
CS2030 Programming Methodology I | 4 | |
| CS2040 Data Structures and Algorithms | 4 | |
IS2101 Business and Technical Communication 3 | 4 | |
ST2334 Probability and Statistics 4 | 4 | |
BT3103 Application Systems Development for Business Analytics | 4 | |
| IS3103 Information Systems Leadership and Communication | 4 | |
BT4103 Business Analytics Capstone Project | 8 | |
| BT4101 B.Sc. Dissertation or Industry Experience Requirement 5 | 12 | |
Programme Electives (PE) | 20 | |
Business Applications Analytics Methods Technology Implementation | All courses are 4 units each. | |
UNRESTRICTED ELECTIVES | 40 | |
Grand Total | 160 |
Footnotes:
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 course options should they wish to pursue a more rigorous treatment of the subject topics covered. MA1311 is no longer offered by Maths Dept from AY2024-25.
3 Taught by the Centre for English Language Communication.
4 If a student has taken (ST2131 or MA2216 or MA2116) and ST2132, then the student does not need to take ST2334.
5 Students may take any internship programmes that are at least 12 units and of at least 6 months continuous duration (e.g. IS4010 Industry Internship Programme, CP3880 Advanced Technology Attachment Programme, NUS Overseas Colleges) to satisfy the industry experience requirement. Students with GPA of 4.00 or higher may opt to replace the Industry Experience Requirement by BT4101 B.Sc. Dissertation. Students who aim for Honours (Highest Distinction) must pass the BT4101. Students with GPA of 4.00 or higher after completing at least 70% (i.e. 112 units) of the total unit requirement for the degree programme may opt to replace the Industry Experience Requirement by BT4101 (12 units).
6 Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective course.
Business Analytics Specialisations
Students may choose to read one or more specialisations for the BSc(Business Analytics) programme. In the case of common courses between these specialisations, the extent of double counting should be no more than 8 units among the specialisation(s).
Some of the courses require pre-requisites from outside this list. Students must have the pre-requisites to take them.
(A) Financial Analytics Specialisation
To be awarded the Financial Analytics Specialisation, students must satisfy the followings at 20 units:
Set I (Select any 2 courses)*:
- 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 courses):
- BT3102 Computational Methods for Business Analytics
- 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 Governance, Regulation, and Compliance Technology
- IS4302 Blockchain and Distributed Ledger Technologies
- IS4303 IT-mediated Financial Solutions and Platforms
Students can choose to do all three courses from Set I and count one of them towards Set II to fulfil the course requirement for the specialisation.
(B) Machine Learning-based Analytics Specialisation (new)
To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings at 20 units:
Set I (Select any 2 courses)*:
- BT3017 Feature Engineering for Machine Learning
- BT4222 Mining Web Data for Business Insights
- IS4242 Intelligent Systems and Techniques
Set II (Select any 3 courses):
- BT4012 Fraud Analytics
- BT4014 Analytics Driven Design of Adaptive Systems
- 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
- CS4248 Natural Language Processing
- IS3107 Data Engineering
- IS4246 Smart Systems and AI Governance
* Students can choose to do all three courses from Set I and count one of them towards Set II to fulfil the course requirement for the specialisation.
(C) Marketing Analytics Specialisation
To be awarded the Marketing Analytics Specialisation, students must satisfy the followings at 20 units:
Set I (Select any 2 courses)*:
- BT4211 Data-Driven Marketing
- BT4212 Search Engine Optimization and Analytics
- BT4222 Mining Web Data for Business Insights
Set II (Select any 3 courses):
- 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
- IS3150 Digital Media Marketing
- IS3240 Digital Platform Strategy and Architecture
- IS4234 Governance, Regulation, and Compliance Technology
- IS4241 Social Media Network Analysis
- IS4262 Digital Product Management
* Students can choose to do all three courses from Set I and count one of them towards Set II to fulfil the course requirement for the specialisation.
