M.Tech Computer Science & Engineering

Key numbers

Batch Size

Tiny cohort = more facetime with profs and less competition for lab resources

Investment

₹3.0L total

~₹1.5L per year

• Tuition Fee₹1,50,000per year

Are you eligible?

• Degree Required

  B.Tech / B.E in a relevant discipline

2-Year Roadmap

1. Year +0

   Year 1

   Core coursework: Advanced Algorithms, ML & DL, NLP, Computer Vision, Big Data, and Research Methodology.

2. Year +1

   Year 2

   Industry Collaboration Project, Thesis/Dissertation, and research wrap-up.

3. Year +2

   Graduation

   Dissertation submission, final evaluations, and placement closures.

Placement · 2025

Where graduates land

The verdict

Good fit

NAAC A++ credibility, a tight 30-seat cohort, and a curriculum that is genuinely AI-forward (ML, NLP, CV, Big Data) make this a solid bet for students who want a structured research-oriented M.Tech. The 85% placement rate and recruiter list including Amazon, Microsoft, and Qualcomm are promising. That said, the NIRF rank quoted is for Law, not Engineering, and our data confidence is at 40% — so you'll need to do your own fieldwork on recent CSE-specific outcomes. If you value hostel life, scholarships, and an entrance-based merit system (GATE / SASTRA PGEE), this program lowkey fits the brief.