Vijaya Vittala Institute of Technology Bangalore M.Tech Artificial Intelligence & Data Science: Fees 2026, Course Duration, Dates, Eligibility

Ans. There is no fixed minimum GATE score cutoff for M.Tech AI and Data Science at VVIT, as admissions are conducted through the Karnataka PGCET counselling process where seat allotment depends on rank and option entry. GATE scores are accepted for direct admission in some cases. Candidates are advised to check the Karnataka PGCET 2026 merit list and VVIT’s seat availability through the KEA portal once counselling opens, typically in August 2026.

Ans. Yes. Karnataka PGCET is a separate entrance exam that allows BE/B.Tech graduates to pursue M.Tech at VTU-affiliated colleges without a GATE score. Karnataka PGCET 2026 was held on May 24, 2026, and results are expected around July 8, 2026. Candidates with a PGCET rank can participate in the KEA counselling process to seek admission to M.Tech AI and Data Science at VVIT through the government quota seats.

Ans. The AICTE GATE scholarship provides INR 12,400 per month to full-time M.Tech students who are admitted through a valid GATE score at AICTE-approved institutions. VVIT being AICTE approved qualifies students for this benefit. To claim it, students must submit their GATE scorecard and a stipend claim form to the AICTE regional office through the college within the prescribed deadline after joining. The scholarship continues for the full two-year programme duration subject to maintaining satisfactory academic progress.

Ans. M.Tech in AI and Data Science from a VTU-affiliated college prepares graduates for roles such as machine learning engineer, data scientist, AI research engineer, business intelligence analyst, and NLP developer. Bangalore’s growing technology and startup ecosystem provides significant opportunities in these domains. Graduates can also pursue PhD programmes in AI or data science at IITs, NITs, or international universities after completing the M.Tech degree.

Ans. Yes. M.Tech in AI and Data Science is structured to accept BE/B.Tech graduates from electronics, mechanical, or other engineering backgrounds in addition to CS graduates. The programme builds up core programming and data handling skills alongside advanced AI topics, making it accessible for graduates without a pure CS undergraduate degree. The VTU curriculum covers Python, data structures, and statistical foundations before moving to advanced machine learning topics.

Ans. VTU M.Tech programmes typically require students to complete a dissertation or research project in the second year, where they work on a selected problem in AI or data science under faculty guidance. Topics can range from image recognition and natural language processing to predictive analytics and reinforcement learning. Students are encouraged to publish their findings or present at conferences. The final project evaluation is conducted by a panel including external examiners as per VTU norms.