Business Analytics Cohort 2021/2022
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 elective courses 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 GPA 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 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 IS4010 Industry Internship Programme 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 TR3201/N Entrepreneurship Practicum (8 units) partially in lieu BT4101 BSc Dissertation (4 out of 12 units) and replace one Business Analytics programme elective at level-3000 (4 units).
- count TR3202/N Start-up Internship Programme (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 TR3203/N Start-up Case Study and Analysis (8 units) partially in lieu of BT4101 BSc Dissertation (8 out of 12 units).
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. It is replaced by USP Foundation course: Writing and Critical Thinking.
- They have course exemption via directly recognising up to 8 units of School of Computing prescribed courses towards USP Inquiry cum ISM requirement.
Summary of degree requirements for BSc (Business Analytics)
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.
5Students are encouraged to take IE2110 should they wish to choose IE4210 as an elective course.
6 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.
7 Students can choose to take on any current 12 units 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 (12 units) from NUS Overseas Colleges) in place of IS4010 Industry Internship Programme to satisfy the industry experience requirement.
Courses | Units | Sub totals |
|---|---|---|
| UNIVERSITY LEVEL REQUIREMENTS 1 | 16 | |
| PROGRAMME REQUIREMENTS | 108 | |
| Core Courses | 72 | |
| BT1101 Introduction to Business Analytics | 4 | |
| CS1010S Programming Methodology | 4 | |
| IS1103 Ethics in Computing or IS1108 Digital Ethics and Data Privacy | 4 | |
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 | |
| BT2103 Optimization Methods in Business Analytics or BT3104 Optimization Methods for Business Analytics | 4 | |
| BT2201 Business Concepts and Metrics for Analytics or IS2218 Digital Platforms for Business | 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 | |
| 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 courses to make up 24 units from Lists A, B and C, with at least 2 courses each from List A and List B. 4 of 6 courses must be at level-4000. List A (Business Applications): List B (Analytics Methods): List C: Technology Implementation: Specialisations To be awarded the Financial Analytics Specialisation, students must satisfy the followings at 20 units: Set I (do any 2 courses) 6: Set II (select any 3 courses): To be awarded the Marketing Analytics Specialisation, students must satisfy the followings at 20 units: Set I (do any 2 courses) 6: Set II (select any 3 courses): To be awarded the Machine Learning-based Analytics Specialisation, students must satisfy the followings at 20 units: Set I (Select any 2 courses) 6: Set II (Select any 3 courses): | All courses are 4 units each. | |
| BT4101 B.Sc. Dissertation or IS4010 Industry Internship Programme 7 | 12 | |
| UNRESTRICTED ELECTIVES | 36 | |
| Grand Total | 160 |
