Minor in Business Artificial Intelligence Systems

Objectives

Digital transformation in business organisations is increasingly driven by data and Artificial Intelligence (AI) technologies. The seamless integration of AI into business software applications can enhance productivity and drive incremental revenue. Key business sectors that can benefit from the adoption of AI include retail and digital commerce, financial services, manufacturing, logistics and healthcare. For example, in retail and digital commerce, AI technologies can be used to build product recommender systems, implement dynamic pricing mechanisms and handle customer enquiries.

The Minor in Business Artificial Intelligence Systems programme is designed to impart AI knowledge and skills to non-computing students. After completing the Minor, students will:

  • Develop an appreciation for innovative design and usage of Infocomm, data and Artificial Intelligence technologies in modern business organisations.
  • Conceptualise, design and develop technological solutions that integrate Infocomm, data and Artificial Intelligence to solve real-world problems across different domains.
  • Understand how to manage Artificial Intelligence technologies and use them in a responsible and ethical manner.

The Minor in Business Artificial Intelligence Systems programme is not available to students in the following degree and minor programmes:

  • BComp (Artificial Intelligence)
  • BComp (Business Artificial Intelligence Systems)
  • BComp (Computer Science)
  • BComp (Information Systems)
  • BComp (Information Security)
  • BEng (Computer Engineering)
  • BEng (Robotics & Machine Intelligence)
  • BSc (Business Analytics)
  • Minor in Artificial Intelligence
  • Minor in Artificial Intelligence (Design and Engineering)

Admission Requirements

Application

School of Computing Minor/Second major are restricted programmes which students must apply during the prescribed application window specified by the School via EduRec. Students will not be able to declare themselves in the Academic Plan Declaration Exercise (APAD) before CourseReg begins for each semester. APAD is only for open minors/second majors which do not require special approval from the host department to approve.

To apply for School of Computing minor/second major programme, students must submit their application to the School of Computing by the 4th semester of study, for enrolment at the start of their 5th semester of study.

Please take note that the application date will typically be from the Friday (9:00 AM) before reading week of each regular semester till end of first week of examinations on Sunday (11:59 PM), based on NUS academic calendar hereKindly refer here for more information on the application procedure for restricted programmes.

The Minor in Business Artificial Intelligence Systems Programme offers direct admission. Students must meet the entry requirement below:

  • For diploma holders: Diploma with at least an A2 grade in GCE O-level Elementary Mathematics or at least a B3 grade in GCE O level Additional Mathematics.
  • H2 pass in Computing or Mathematics; OR a good pass in H1 Mathematics.

Students from Cohort Year 2025/26 or later who have taken CS1010A (or its equivalent) with B+ or above and BT1101 (or its equivalent) as part of their degree requirements can apply for entry into Minor in Business Artificial Intelligence Systems programme starting Semester 1, AY2025/26 under in-progress admission.

Please take note that the application date will typically be from the Friday (9:00 AM) before reading week of each regular semester till end of first week of examinations on Sunday (11:59 PM), based on NUS academic calendar hereKindly refer here for more information on the application procedure for restricted programmes.

Minor Requirements for students matriculated from AY2025-26 cohort:

To be awarded a minor in Business Artificial Intelligence Systems, a student must pass a total of five (5) courses, with a minimum of twenty (20) units.  Note that at least 80% of the unit requirements of a minor must be at level 1000 to 4000. 

Host faculty requirement:

For students from Cohort AY2025/26 and after, 60% of coursework requirement must come from the School of Computing and not equivalent coursework. 

The Minor in Biz AI Sys programme is not available to students in the following degree and minor programmes:

  • BComp (Artificial Intelligence)
  • BComp (Business Artificial Intelligence Systems)
  • BComp (Computer Science)
  • BComp (Information Systems)
  • BComp (Information Security)
  • BEng (Computer Engineering)
  • BEng (Robotics & Machine Intelligence)
  • BSc (Business Analytics)
  • Minor in Artificial Intelligence
  • Minor in Artificial Intelligence (Design and Engineering)

To be awarded a minor in Business Artificial Intelligence Systems, a student must pass a total of five (5) courses, with a minimum of twenty (20) units.

Some of the courses require pre-requisites from outside the list. Students must have the pre-requisites to take them.

Courses Units

Core Courses:

Complete all 3 core courses:

12
CS2030 Programming Methodology II4
IS2108 Full-stack Software Engineering for AI Solutions I4
IS2109 AI and Machine Learning Techniques I 4

Elective Courses:

Complete 8 units or equivalently 2 courses in the list below with at least 1 course must be at Level 3000 or higher.

8
  • BT2102 Data Management and Visualisation
  • IS1108 Digital and AI Ethics
  • IS2102 Requirements Analysis for Business IT Systems
  • IS3107 Data Engineering
  • IS3108 Full-stack Software Engineering for AI Solutions II
  • IS3109 AI and Machine Learning Techniques II
  • IS3221 ERP Systems with Analytics Solutions
  • IS4400 Human-AI Interaction
  • IS4401 Generative AI and Business Applications
  • IS4402 Machine Learning with Unstructured Data
4 units each

Important Note:
A minimum of 60% of the total units of the Minor requirements must be earned from courses read in NUS. Courses read at NUS include all courses taught, co-taught, supervised or co-supervised by NUS faculty members. These consist of graded courses or courses with an ‘S’ or ‘CS’ grade. The remaining units may be earned through credit transfers, advanced placement and exemptions, from courses deemed relevant to the particular Second Major or Minor.