Brainware University Kolkata M.Tech Artificial Intelligence and Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Ans. B.E./B.Tech in CSE, IT, ECE, or MCA/M.Sc Computer Science from a recognised university with at least 50 percent aggregate marks from a recognised university with at least 50 percent aggregate marks. Admission is through a valid GATE score or BET (Brainware Entrance Test). SC and ST applicants may receive a 5-percent relaxation. Working professionals may check part-time M.Tech availability at the university.

Ans. The total 2-year fee for M.Tech (AI & ML) at Brainware University is INR 2,89,800, covering four semesters of tuition, examination, and university development charges. Fees are split as INR 1,73,400 in Year 1 and INR 1,16,400 in Year 2, payable semester-wise. Hostel accommodation is available separately.

Ans. The M.Tech (AI & ML) programme at Brainware University supports research in deep learning, NLP, computer vision, reinforcement learning, explainable AI, and AI for healthcare and smart systems. Students complete a dissertation as part of the final two semesters, supervised by faculty with industry and academic research backgrounds. The dissertation is evaluated by an internal-external panel and must be submitted before the final viva voce. Students may also present research at conferences and workshops during the programme.

Ans. M.Tech (AI & ML) graduates from Brainware University work as AI research engineers, ML platform developers, NLP engineers, computer vision scientists, and AI product leads at technology firms, research labs, and AI-first companies. GATE-qualified graduates may also appear for PSU recruitment examinations and PhD admission at IITs and NITs through GATE-based selection.

Ans. GATE score is preferred for M.Tech admission at Brainware University and may be required for GATE-funded stipends or fellowships. However, Brainware University also admits candidates through BET (Brainware Entrance Test) for non-GATE applicants. Working professionals with relevant industry experience may be considered on a case-by-case basis. Candidates should check the admissions portal for seat allocation between GATE and BET categories each year and confirm the intake schedule with the admissions office. Candidates with strong industry experience in AI or data engineering who have not appeared for GATE may contact the admissions office to discuss eligibility under the BET category for the programme.