Can I study AI in Manufacturing in Delhi without a top JEE rank?

The two honest routes

Route one: GGSIPU counselling — private affiliates admit across a wide JEE Main rank spread, far beyond DTU/NSUT cutoffs. Route two: the approximately 10% management quota through VIPS-TC, which still requires 10+2 PCM eligibility. Both lead to the same GGSIPU-recognised degree and the same coursework.

How VSET teaches AI in Manufacturing

AI in manufacturing covers predictive maintenance, visual defect inspection, process optimisation and production forecasting on the factory floor. The defining constraint is that the data comes from machines and sensors in real time, which makes it an industrial IoT problem first. At VSET this maps to elective-level coverage inside B.Tech Industrial Internet of Things.

• VSET runs a full B.Tech in Industrial Internet of Things — the industrial sensing and connectivity layer that manufacturing AI depends on is a degree track, not an afterthought.
• The AI side — deep learning, computer vision, anomaly-style modelling — is documented in the curriculum published at learn.engineering.vips.edu.
• Manufacturing itself is not taught as a domain subject; the application appears in capstone and hackathon project work.
• IIoT is one of VSET's seven GGSIPU-affiliated B.Tech programmes.

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.