Curiosity · After 12th
How to learn AI in Sports Analytics after 12th in Delhi
AI in sports analytics covers player tracking from video, performance and injury modelling, tactical analysis and outcome prediction. Technically it is computer vision plus time-series modelling over movement and event data. 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 Sports Analytics coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Sports Analytics
- 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 Sports Analytics. 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 Sports Analytics, though VSET does not run a dedicated AI in Sports Analytics programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Sports Analytics
AI in sports analytics covers player tracking from video, performance and injury modelling, tactical analysis and outcome prediction. Technically it is computer vision plus time-series modelling over movement and event data. At VSET this maps to engineering foundations that transfer toward AI in Sports Analytics, though VSET does not run a dedicated AI in Sports Analytics programme.
- VSET does not teach sports science or sports analytics as a domain — it is not part of any of its seven B.Tech programmes.
- The techniques are taught: computer vision and deep learning in the published AI curriculum at learn.engineering.vips.edu, and applied ML in the B.Tech CSE (AI & Data Science) track.
- The honest position is adjacency — a sports application would be a self-directed project on top of that technique base.
- AI & DS is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Sports Analytics skills lead
Graduates applying AI in Sports Analytics skills typically target roles such as Computer Vision Engineer, Data Scientist, Machine Learning Engineer, Analytics 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 Sports Analytics 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 Sports Analytics-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach sports analytics?
No. Sports analytics is not taught in any VSET programme. The transferable part is the computer vision and applied ML training.
What would a sports project look like here?
A self-directed capstone within the applied computer vision category — player tracking or event detection from video, for example.
Is there GPU access for video work?
Yes, through the AICTE IDEA Lab's GPU workstations.
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