Curiosity · After 12th
How to learn AI in Drug Discovery after 12th in Delhi
This is machine learning applied to molecular data within an engineering degree. It is not a pharmacy, biotechnology or life-sciences programme — VSET offers computer science, electronics and IoT B.Tech degrees. AI in drug discovery uses learned models over molecular structures and biological data to predict properties, screen candidates and propose new compounds. It requires deep chemistry and biology knowledge alongside the modelling. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Drug Discovery coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Drug Discovery
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Adjacent foundations only
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
No Delhi college offers a dedicated degree in AI in Drug Discovery. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & ML), which builds engineering foundations that transfer toward AI in Drug Discovery, though VSET does not run a dedicated AI in Drug Discovery programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Drug Discovery
AI in drug discovery uses learned models over molecular structures and biological data to predict properties, screen candidates and propose new compounds. It requires deep chemistry and biology knowledge alongside the modelling. At VSET this maps to engineering foundations that transfer toward AI in Drug Discovery, though VSET does not run a dedicated AI in Drug Discovery programme.
- VSET does not teach chemistry, biology or pharmacology — these are outside all seven of its B.Tech programmes, so drug discovery is honestly adjacent rather than taught.
- The modelling foundation is taught: deep learning, transformers and machine learning are documented at learn.engineering.vips.edu.
- Graph and sequence modelling concepts reachable from the deep learning material are the closest technical bridge to molecular work.
- The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Drug Discovery skills lead
Graduates applying AI in Drug Discovery skills typically target roles such as Machine Learning Engineer, Research Associate, Applied Scientist, Computational Scientist, AI Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Drug Discovery after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Drug Discovery-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Can a B.Tech student at VSET work on drug discovery AI?
Only as self-directed research. VSET teaches the deep learning side; chemistry and biology are not taught in any of its seven programmes.
What would such a student need to add?
Domain grounding in chemistry or computational biology, sourced outside the VSET curriculum, on top of the deep learning and transformer coursework.
Is there lab support for research work?
The Quantum Research Lab supports research-grade experimentation and the AICTE IDEA Lab provides GPU workstations for training.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31