Minors
Overview
At SUTD, we believe in giving our students the flexibility for different pathways and that one-size does not fit all. Students can customise your curriculum to suit your interests and aspirations through the selection of elective courses and Specialisation Tracks. You may also pursue a Minor to equip yourself with additional knowledge beyond your choice of Major.
Minors
A minor programme is a coherent course of study in an additional area outside of the Major. It contributes to your breadth of learning and may allow you to gain a competitive advantage in the workplace by being conversant in topics beyond your major. A Minor consists of a collection of 5 subjects required by the department offering the Minor, 2 of which may be cross-listed as meeting the Major requirements while the remaining 3 may be taken as technical electives.
Undergraduate students taking up an engineering Major (CSD, EPD or ESD; students taking DAI are able to choose from a restricted list of Minors) will have the opportunity to select a Minor on top of the Major. You will indicate your choice of Minor at the start of Term 8. Both the Major and Minor requirements must be completed within the normal candidature of the undergraduate programme, i.e. 8 terms.
Analytics and AI / Engineering Systems (ES)
For students enrolled from AY2022 onwards
- Enables students to gain expertise in the current tools of AI analytics in engineering systems
- Equips students 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
For students enrolled in AY2022:
Refer to the Minor in Analytics webpage
For students enrolled before AY2022:
Refer to the Minor in Engineering Systems (ES) webpage |
Artificial Intelligence (AI)
Computer Science (CS)
- Allows students to combine technical depth in their chosen engineering discipline with exposure to mathematical grounding and algorithmic thinking
- Meets current and future industry needs for engineers who possess technical expertise in their chosen discipline and ability to design solutions for challenging problems that require computing as a core element
Design and Artificial Intelligence (DAI)
Design, Technology and Society (DTS)
Digital Humanities (DH)
Healthcare Informatics (HI)
Human-Centred Design
Psychology & Business Management
- Be equipped with knowledge to make connections between the complex social, cultural, economic, and psychological forces that influence AI and technology development
- Combine the learning from psychology and business management and respond critically, creatively, and constructively to the global workplace