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 Industry Experience Requirement 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).
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/N 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/N 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).
Summary of degree requirements for BSc (Business Analytics)
| Modules | MCs | 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) Modules and Cross-disciplinary (CD) Modules Students are required to take 12 MCs from the above modules with at least two ID modules and no more than one CD module to satisfy the 12 MCs required in this group. | 12 | |
| PROGRAMME REQUIREMENTS |
| 80 |
| Core Modules | 60 |
|
| MA1311 Matrix Algebra, or MA2001 Linear Algebra I 2 | 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 II | 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 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 IS4242 Intelligent Systems and Techniques IS4250 IT-enabled Healthcare Solutioning IS4262 Digital Product Management MKT4812 Market Analytics Analytics Methods | All modules are 4 MCs modules. |
|
| UNRESTRICTED ELECTIVES |
| 40 |
| 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.
5: Students may take any internship programmes that are at least 12 MCs 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 CAP 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 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 Industry Experience Requirement by BT4101 (12 MCs).
6: Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
Business Analytics 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).
Some of the modules 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 MCs:
Set I (Select any 2 modules)*:
Set II (Select any 3 modules):
Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation.
(B) Marketing Analytics Specialisation
To be awarded the Marketing Analytics Specialisation, students must satisfy the followings at 20 MCs:
Set I (Select any 2 modules)*:
Set II (Select any 3 modules):
* Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation.
(C) 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)*:
Set II (Select any 3 modules):
* Students can choose to do all three modules from Set I and count one of them towards Set II to fulfil the modules requirement for the specialisation.