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).
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 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 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 remaining USP requirements under Unrestricted Electives.
Summary of degree requirements for BSc (Business Analytics)
| Modules | MCs | Sub totals |
|---|---|---|
|
| 20 | |
| PROGRAMME REQUIREMENTS |
| 108 |
| Core Modules | 72 |
|
| BT1101 Introduction to Business Analytics | 4 |
|
| CS1010S Programming Methodology | 4 |
|
| IS1103 Ethics in Computing | 4 |
|
| MA1311 Matrix Algebra, or MA2001 Linear Algebra I2 | 4 |
|
| MA1521 Calculus for Computing, or MA2002 Calculus2 | 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 I | 4 | |
| CS2040 Data Structures and Algorithms | 4 | |
| IS2101 Business and Technical Communication3 | 4 |
|
| ST2334 Probability and Statistics4 | 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): List B (Analytics Methods): IE2110 Operations Research I 5, or DBA3701 Introduction to Optimisation Specialisations: Set II (select any 3 modules):
Set II (select any 3 modules): | 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: https://www.nus.edu.sg/registrar/academic-information-policies/undergraduate-students/general-education for the requirements for University Level Requirements.
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 are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
6: 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.
7 : 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.
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., Start-up Internship Programme (12MCs) from NUS Overseas Colleges) in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement.