Minor in Analytics and AI
Overview
- The Minor in Analytics and AI will allow students to gain expertise in the current tools of AI analytics in engineering systems. Graduates with this minor will be equipped with both technical depth in their chosen discipline and exposure to the application of artificial intelligence techniques and algorithms to automate analysis processes, analyse and interpret data, derive insights, and make data-driven decision making.
Curriculum structure
For Intake AY2024 and onwards
- Prerequisite: 10.022 Modelling Uncertainty
Strongly recommended: 10.020 Data Driven World - Mandatory:
- ESD/ISTD/EPD/DAI cross pillar electives: Choose up to twenty-four (24) credits from:
- 30.100 Computational and Data-Driven Engineering
- 30.114 Advanced Feedback & Control
- 30.115 Digital Signal Processing
- 40.316 Game Theory
- 40.319 Statistical and Machine Learning or 50.007 Machine Learning
- 50.021 Artificial Intelligence
- 50.035 Computer Vision
- 50.038 Computational Data Science
- 50.039 Theory and Practice of Deep Learning
- 50.040 Natural Language Processing
- 50.043 Database Systems
- 50.045 Information Retrieval
- 50.050 Discrete Mathematics and Algorithm Design
- 50.055 Special Topic: Machine Learning Operations
- 60.001 Applied Deep Learning
- 60.002 AI Applications in Design
For Intake AY2022 and Intake AY2023
- Prerequisite: 10.022 Modelling Uncertainty
Strongly recommended: 10.020 Data Driven World - Mandatory:
- ESD/ISTD/EPD cross pillar electives: Choose up to twenty-four (24) credits from:
- 30.100 Computational and Data-Driven Engineering
- 30.114 Advanced Feedback & Control
- 30.115 Digital Signal Processing
- 40.316 Game Theory
- 50.021 Artificial Intelligence
- 50.039 Theory and Practice of Deep Learning
- 50.035 Computer Vision
- 50.040 Natural Language Processing
- 50.043 Database Systems
- 50.045 Information Retrieval
- 50.050 Discrete Mathematics and Algorithm Design
- 50.055 Special Topic: Machine Learning Operations
Planning for minor study
- This minor is open only to non-ESD students matriculated from AY2022 onwards.
- Students interested in pursuing a minor or minors are required to meet an academic advisor to formulate a study plan. Students who are deemed to be unable to complete the coursework by Term 8 should not embark on a minor programme. Subsequently, students are required to track their own progress towards completing the minor programme(s) as per the study plan formulated.
- Enrolment into all courses is subject to availability.
- The minor will be accorded upon successful completion of the required subjects by Term 8. No extension beyond Term 8 is allowed.
- Both the major and minor requirements must be completed within the normal candidature of the undergraduate programme, i.e. 8 terms.
Eligibility
- Students need to pass all twelve (12) Freshmore subjects at the point of declaring their intention to pursue a minor.
- Students who are deemed to be unable to complete the coursework by Term 8 will not be allowed to pursue the minor.
Declaration and withdrawal
- Students must formally declare their intention to enrol in the Minor in Analytics and AI during the following declaration periods via MyPortal. Students should note that the add/drop period and related policies apply to minor-related and additional fifth subject(s) (if any).
Cohort Declaration period 2024 and onwards 2 weeks before start of Term 5 AY2023 In Week 3 of Term 8 AY2022 2 weeks before Term 4 - Students who declared earlier but decide not to continue pursuing the minor programme(s), or decide to pursue a different minor, are required to formally inform (in writing) OSA and the pillars/clusters involved. Only requests before the end of Term 5’s add/drop period* will be entertained and such requests will be dealt with on a case-by-case basis. (*Not applicable for students from the AY2023 cohort.)
- Should the student not complete or withdraw from the minor programme, the student’s pillar/cluster may, at its sole discretion, allow the additional fifth subject(s) (if any) successfully completed in the previous term(s) for the discontinued minor to be counted towards the major requirements. Grades earned to complete a minor shall still be computed towards the GPA after the student’s withdrawal.
Grading requirements
- Students must complete all required courses.
- Subjects taken to complete the minor shall be graded and computed into the GPA.
- Unless a minimum passing grade is stated by ESD, the minimum passing grade shall be a D. Non-letter grading options cannot be used for the minor.
- Credits from successfully completed academic units from external institutions can be recognised towards fulfilling the minor requirements upon approval from ESD.
Minor in Analytics (for Intake AY2022 only)
Minor in Engineering Systems (for Intake AY2021 and before)
For more details on Minor programmes, please refer to the policy paper ED-CDP-049-02.