Bachelor of Computing in Business Artificial Intelligence Systems
The four-year Business Artificial Intelligence Systems (BAIS) programme aims to address the two significant trends of i) rapid adoption of Artificial Intelligence (AI) technologies across the economy and society, and ii) digital transformation among organisations being increasingly driven by AI and data. This interdisciplinary programme integrates computing, business, and management knowledge and skills to focus on AI solutioning, governance and management for businesses and organisations. It emphasises harnessing infocomm technologies (ICT), AI technologies and data synergistically and seamlessly to solve real-world business problems with appropriate digital innovations and AI governance and management frameworks. The BAIS programme with its strong emphasis on full-stack AI solutioning will prepare students for careers that lie at the intersection of three tracks in the IMDA’s (Infocomm Media Development Authority) Skills Framework for ICT, namely the Data and AI, Software and Applications, and Strategy and Governance tracks.
Students can also choose to specialise in the Artificial Intelligence (AI) Governance and Management Specialisation, in addition to the Digital Product and Platform Management Specialisation, or the Financial Technology Specialisation.
Students with Grade Point Average (GPA) of 4.00 or higher may opt to replace the Industry Experience Requirement with the CP4101 B.Comp. Dissertation.
Students who aim for Honours (Highest Distinction) must pass CP4101 B.Comp. Dissertation. In this regard, students with GPA of 4.00 or higher after completing at least 70% (i.e., 112 units) of the unit requirement for the degree programme may opt to replace the Industry Experience Requirement with CP4101 (12 units). Note that the CP4101 project selection process takes place one semester ahead of the semester in which the students commence CP4101. Thus, although students can tentatively select CP4101 projects, both the GPA (4.00 or higher) and unit completion (at least 112 units) requirements must be satisfied before they can commence CP4101 in lieu of the Industry Experience Requirement.
Students who attended NOC Programme may:
- count ETP3202L Innovation & Enterprise Case Study and Analysis (8 units) partially in lieu of CP4101 B.Comp. Dissertation (8 out of 12 units).
- count ETP3203L Innovation & Enterprise Internship Practicum (8 units) partially in lieu of CP4101 B.Comp. Dissertation (4 out of 12 units) and replace one BAIS programme elective at level-3000 (4 units). If a student has exceeded the maximum of 2 programme elective courses at level-3000 and below, the remaining 4 units will be counted as unrestricted electives.
- count ETP3206L Innovation & Enterprise Internship (12 out of 16 units) towards the Industry Experience Requirement (i.e., IS4010 Industry Internship Programme or CP3880 Advanced Technology Attachment Programme). The remaining 4 units will be counted as unrestricted electives.
| Courses | Units | Subtotals |
|---|---|---|
| COMMON CURRICULUM REQUIREMENTS 1 | 40 | |
| University Level Requirements: 6 University Pillars | 24 | |
| Digital Literacy — CS1010A 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 and AI Ethics | 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 | |
| BT2102 Data Management and Visualisation | 4 | |
| CS2030 Programming Methodology II | 4 | |
| CS2040 Data Structures and Algorithms | 4 | |
| IS2101 Business and Technical Communication 2 | 4 | |
| IS2108 Full-stack Software Engineering for AI Solutions I | 4 | |
| IS2109 AI and Machine Learning Techniques I | 4 | |
| IS3103 Digital Transformation and Leadership Communication | 4 | |
| Industrial Experience Requirement 3 or CP4101 B.Comp Dissertation | 12 | |
| IS4108 AI Solutioning Capstone Project | 8 | |
| MA1521 Calculus for Computing | 4 | |
| MA1522 Linear Algebra for Computing | 4 | |
| ST2334 Probability and Statistics | 4 | |
| Programme Elective Courses Complete 5 Business Artificial Intelligence Systems programme elective courses with at least 3 courses at Level-4000 | 20 | |
Digital Business IT Solutioning AI Solutioning IT Business Innovation and Entrepreneurship IT Security and Legal Aspects | All courses are 4 units each | |
| UNRESTRICTED ELECTIVES7 | 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 CS1010A will satisfy the Digital Literacy pillar.
2 Taught by the Centre for English Language Communication.
3 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 who aim for Honours (Highest Distinction) must pass CP4101 B.Comp. Dissertation. In this regard, 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 with the CP4101 (12 units).
Students may choose to read one or more specialisations for the BComp (Business Artificial Intelligence Systems) programme. In the case of common courses between these specialisations, the extent of double counting should be no more than 8 units among the specialisations.
Some of the courses require pre-requisites from outside this list. Students must have the pre-requisites to take them.
(A) Artificial Intelligence (AI) Governance and Management Specialisation
To be awarded the Artificial Intelligence (AI) Governance and Management Specialisation, students must pass 5 courses (20 units) from the prescribed list below:
- IS4233 Legal Aspects of Information Technology
- IS4234 Governance, Regulation, and Compliance Technology
- IS4236 Cloud Services and Infrastructure Management
- IS4238 Strategic Cybersecurity
- IS4243 Digital Transformation Consulting
- IS4246 Smart Systems and AI Governance
- IS4400 Human-AI Interaction
(B) Digital Product and Platform Management Specialisation
To be awarded the Digital Product and Platform Management Specialisation, students must pass 5 courses (20 units) from the prescribed list below:
- IS3150 Digital Media Marketing
- IS3240 Digital Platform Strategy and Architecture
- IS4233 Legal Aspects of Information Technology
- IS4236 Cloud Services and Infrastructure Management
- IS4241 Social Media Network Analysis
- IS4243 Digital Transformation Consulting
- IS4250 IT-enabled Healthcare Solutioning
- IS4261 Designing AI-driven Business Innovations
- IS4262 Digital Product Management
(C) Financial Technology Specialisation
To be awarded the Financial Technology Specialisation, students must pass 5 courses (20 units) from the prescribed list below:
- BT4014 Analytics Driven Design of Adaptive Systems
- IS3107 Data Engineering
- IS4226 Systematic Trading Strategies and Systems
- IS4228 Information Technologies in Financial Services
- IS4234 Governance, Regulation, and Compliance Technology
- IS4246 Smart Systems and AI Governance
- IS4302 Blockchain and Distributed Ledger Technologies
- IS4303 IT-Mediated Financial Solutions and Platforms
