Computer Science / Data Science / AI in Singapore (2026): JC Subject Planning Checklist (NUS/NTU/SMU/SUTD/SIT/SUSS)

Q: What should I take in JC if I’m aiming for CS / data science / AI?
A: Plan backwards from what universities list as prerequisites (and “assumed knowledge”), then choose a subject combination you can actually sustain for two years.

TL;DR If you’re aiming for CS/DS/AI and you’re not 100% sure where you’ll apply, H2 Math is usually the safest default.
The key is not to memorise a single “best combination”, but to verify prerequisites early and build a backup plan you’re comfortable with.

Status: Last reviewed 2026-01-23. Always verify on official admissions pages; requirements and programme structures can change.

Fast links

• Uni prerequisites planner (pillar): https://eclatinstitute.sg/blog/Singapore-University-Subject-Prerequisites-and-Subject-Planning-Guide-2026
• “Do I need H2 Math?” decision guide: https://eclatinstitute.sg/blog/Do-You-Need-H2-Math-for-University-in-Singapore-2026
• JC subject combination guide: https://eclatinstitute.sg/blog/jc-subject-combination-guide-singapore
• If you’re considering Further Math: https://eclatinstitute.sg/blog/Further-Mathematics-in-A-Level
• Missing prerequisites (bridging modules): https://eclatinstitute.sg/blog/Bridging-Modules-in-Singapore-Universities-2026
• MTL requirement (don’t get surprised late): https://eclatinstitute.sg/blog/MTL-Requirement-for-University-Admission-in-Singapore-2026
• ABA/holistic admissions checklist: https://eclatinstitute.sg/blog/Aptitude-Based-Admissions-ABA-Singapore-Universities-2026

1 | Pick your track first (CS vs DS vs “AI”)

Before you plan subjects, clarify what you mean by “AI”:

• Computer Science (CS): broader foundations (algorithms, systems, programming).
• Data science / analytics: more stats/data modelling (often maths-heavy).
• AI/ML focus: sits on top of CS + maths; you typically need both foundations.