Curiosity · After 12th

How to learn AI and ML vs AI and Data Science Branch after 12th in Delhi

This is the choice between VSET's two AI-family specialisations: B.Tech CSE (AI and ML) and B.Tech CSE (AI and Data Science). Both are GGSIPU-affiliated programmes on the same computer science core, differing in emphasis between modelling and data work. 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 and ML vs AI and Data Science Branch coverage is genuine rather than a brochure keyword.

At a glance

Topic
AI and ML vs AI and Data Science Branch
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

The degree route

The degree route is a B.Tech with genuine AI and ML vs AI and Data Science Branch depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches AI and ML vs AI and Data Science Branch

This is the choice between VSET's two AI-family specialisations: B.Tech CSE (AI and ML) and B.Tech CSE (AI and Data Science). Both are GGSIPU-affiliated programmes on the same computer science core, differing in emphasis between modelling and data work. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • Both specialisations are among VSET's seven GGSIPU-affiliated B.Tech programmes.
  • The AI and ML track weights machine learning, neural networks and applied AI modelling.
  • The AI and Data Science track weights data engineering, statistics and analytics alongside applied machine learning.
  • The full CSE core in programming, data structures, databases, operating systems and networks is taught in both.

Where AI and ML vs AI and Data Science Branch skills lead

Graduates applying AI and ML vs AI and Data Science Branch skills typically target roles such as Machine Learning Engineer, Data Scientist, Data Engineer, AI Engineer, Analytics 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 and ML vs AI and Data Science Branch after 12th without coding background?

Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI and ML vs AI and Data Science Branch-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.

What is the practical difference between the two?

AI and ML leans towards building and training models; AI and Data Science leans towards the data pipelines, statistics and analysis that surround them.

Do they share the same core?

Yes. Both are B.Tech CSE programmes with the full computer science core.

Which one leads to data scientist roles?

Both can. The AI and Data Science specialisation maps more directly onto the data engineering and analytics part of the job.

Can I switch after joining?

Branch changes are governed by GGSIPU and institutional rules, so treat the choice at counselling as the decision that matters.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31