Sahyadri College of Engineering & Management (SCEM) Mangalore BE Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Ans. The total fee for the four-year BE in Artificial Intelligence and Machine Learning at SCEM is INR 12,04,000, comprising a tuition fee of INR 11,24,000 and miscellaneous charges of INR 80,000. This fee applies to COMEDK UGET and management quota seats. Students admitted through KCET government quota pay fees as regulated by the Karnataka government, which are lower than the above figures. Hostel accommodation is optional and charged at INR 90,000 per year, separately from the course fee.

Ans. Graduates of BE Artificial Intelligence and Machine Learning from SCEM can pursue roles such as Machine Learning Engineer, Data Scientist, AI Research Assistant, Computer Vision Engineer, and NLP Specialist. Key hiring sectors include IT services, fintech, healthcare technology, e-commerce, and autonomous systems development. SCEM’s placement cell conducts annual campus drives with companies from the IT and technology sector, giving AI and ML graduates access to roles in both product-based and service-based organisations.

Ans. Yes, BE Artificial Intelligence and Machine Learning at SCEM is affiliated with Visvesvaraya Technological University (VTU), Belagavi, and is AICTE approved. SCEM is an autonomous institution, allowing it to design a contemporary curriculum within the VTU framework. All engineering programmes at SCEM, including BE AI and ML, are accredited by the National Board of Accreditation (NBA), and the college holds a NAAC A grade with a score of 3.1 out of 4.

Ans. BE Artificial Intelligence and Machine Learning is a newer and increasingly sought-after specialisation at SCEM, and KCET cutoffs may be tighter than for older branches like Mechanical or Civil Engineering. Students with KCET ranks between 25,000 and 60,000 have generally been able to secure seats in this branch at SCEM in recent years, though actual cutoffs are published by KEA after every round of counselling and students should consult those official lists for accurate data.

Ans. SCEM hosts the New Age Incubation Network (NAIN) recognised by MSME, which provides a platform for students interested in product development, AI-based projects, and startup ideation. The college’s various Centres of Excellence support hands-on project work across engineering disciplines. AI and ML students can engage in internship projects with industry partners facilitated by the Training and Placement Cell, which has MoUs with several IT and technology companies that recruit from the programme each year.

Ans. KCET seats (45% of intake) are filled through the Karnataka Examinations Authority and carry government-regulated fees lower than INR 12,04,000. COMEDK UGET seats (30% of intake) are open to students from across India and carry the full tuition fee structure of INR 12,04,000. The remaining 25% are management quota seats filled by the college directly. For KCET, students must be Karnataka domicile or qualify under the applicable reservation norms set by the state government for engineering admissions.