Curiosity · After 12th
How to learn AI in Real Estate after 12th in Delhi
AI in real estate covers automated valuation models, listing search and ranking, image-based property tagging and market forecasting. It is regression, retrieval and vision applied to a property dataset with strong geographic structure. 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 Real Estate coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Real Estate
- VSET programme
- B.Tech CSE (AI & Data Science)
- 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 Real Estate. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & Data Science), which builds engineering foundations that transfer toward AI in Real Estate, though VSET does not run a dedicated AI in Real Estate programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Real Estate
AI in real estate covers automated valuation models, listing search and ranking, image-based property tagging and market forecasting. It is regression, retrieval and vision applied to a property dataset with strong geographic structure. At VSET this maps to engineering foundations that transfer toward AI in Real Estate, though VSET does not run a dedicated AI in Real Estate programme.
- VSET does not teach real estate as a domain — property markets, valuation practice and construction are outside all seven B.Tech programmes.
- The techniques are taught: regression and forecasting in the B.Tech CSE (AI & Data Science) track, plus computer vision and retrieval material at learn.engineering.vips.edu.
- The honest position is adjacency; a property application would be a self-directed project on that base.
- AI & DS is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Real Estate skills lead
Graduates applying AI in Real Estate skills typically target roles such as Data Scientist, Machine Learning Engineer, Analytics Engineer, Computer Vision Engineer, Applied AI Developer. 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 Real Estate 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 Real Estate-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is proptech taught at VSET?
No. Real estate is not a taught domain. The AI & Data Science track supplies the regression, forecasting and retrieval techniques valuation and listing systems use.
Which programme is closest?
B.Tech CSE (AI & Data Science), since property problems are largely tabular and geographic data problems.
Would this be a viable capstone?
Yes, as a self-directed variation on the applied ML or applied CV capstone categories — the domain framing would come from the student.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & Data Science) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31