Shree Devi Institute of Technology Mangalore BE Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Ans. The total fee for the BE Artificial Intelligence and Machine Learning programme at SDIT is INR 3,86,000 for the full four years. This fee is for general quota students. KCET government-quota seats are charged separately at regulated fees set by the Karnataka government, which are typically lower than the stated fee.

Ans. SDIT Mangalore accepts KCET and COMEDK UGET ranks for BE AI and ML admission. KCET is the Karnataka state-level engineering entrance exam, while COMEDK UGET is a private consortium exam. Both results were declared by June 2026. Counselling is underway through July 2026. Students not appearing for either exam may apply for management quota seats directly through the college.

Ans. BE Artificial Intelligence and Machine Learning is a specialised VTU branch under the CSE family, with a curriculum focused on AI, ML algorithms, deep learning, computer vision, and natural language processing from the first year. BE CSE covers broader computing concepts including operating systems, databases, and networks. Both carry a BE degree but with different specialisation labels on the final certificate.

Ans. BE AI and ML graduates from SDIT can pursue roles as machine learning engineers, data analysts, AI developers, computer vision engineers, and software engineers in technology firms. Core sectors include fintech, healthcare technology, e-commerce platforms, and IT services companies. The degree also qualifies graduates for postgraduate studies in AI and Data Science at VTU or other universities through GATE-based M.Tech admissions.

Ans. After KCET results (declared June 6, 2026), KEA opens online counselling rounds on cetonline.karnataka.gov.in. Candidates register, fill in college and branch preferences listing SDIT Mangalore and the AI and ML branch, and receive provisional seat allotment based on rank. On confirmation, students pay the acceptance fee and report to SDIT for document verification and enrollment into the 2026-27 batch.

Ans. The VTU BE AI and ML curriculum covers mathematics, Python programming, data structures, machine learning, deep learning, computer vision, natural language processing, cloud computing, and big data analytics across four years. The programme includes laboratory work and a final year project. Students also study professional electives in the later semesters, covering areas such as reinforcement learning and explainable AI.