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 |
|---|---|---|
|
| 16 | |
| PROGRAMME REQUIREMENTS |
| 120 |
| Core Modules | 64 |
|
| BT1101 Introduction to Business Analytics | 4 |
|
| CS1010S Programming Methodology | 4 |
|
| IS1103 Ethics in Computing or | 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): List B (Analytics Methods): Specialisations To be awarded the Financial Analytics Specialisation, students must satisfy the followings at 20 MCs: Set II (select any 3 modules): To be awarded the Marketing Analytics Specialisation, students must satisfy the followings at 20 MCs: Set II (select any 3 modules): Machine Learning-based Analytics Specialisation (new) To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings at 20 MCs: • BT4222 Mining Web Data for Business Insights • IS4242 Intelligent Systems and Techniques
• BT4012 Fraud Analytics | 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.
5 : Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective module.
6 : 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