Sanjay Ghodawat University Kolhapur B.Tech {Lateral} Artificial Intelligence and Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Bachelor of Technology (B.Tech) in Artificial Intelligence and Machine Learning (Lateral Entry) is a specialized 3-year undergraduate program designed for diploma holders seeking to advance their engineering education. This full-time course provides comprehensive training in AI, machine learning, deep learning, reinforcement learning, natural language processing (NLP), data science, computer vision, and robotics. The total fees for the 3-year lateral entry program is Rs 4,12,500 (Rs 1,37,500 per year + Rs 5,000 exam fee per year). The course is offered in full-time on-campus mode at Sanjay Ghodawat University, Kolhapur. The program has an intake of 60 seats for lateral entry candidates. This course is popular among diploma holders seeking careers in AI/ML development, data science, robotics, and emerging technology sectors.

Admissions for the 2026-27 academic year are currently ongoing. The application deadline for the 2026-27 batch is March 31, 2026. Interested candidates can apply through the official SGU website. Merit-based selection will be conducted based on diploma marks and entrance exam scores. The batch is expected to commence in June 2026.

Key Points:

• Specialized curriculum in AI, Machine Learning, Deep Learning, and Reinforcement Learning
• Hands-on training in Natural Language Processing (NLP), Computer Vision, and Data Science
• Industry-oriented approach with practical exposure to real-world AI/ML projects
• State-of-the-art laboratory facilities and computing infrastructure
• Collaboration with industry partners providing internship and placement opportunities
• Experienced faculty with rich teaching, research, and industrial experience
• Interdisciplinary learning covering robotics, business intelligence, and emerging technologies
• Strong placement record with opportunities in tech companies, startups, and research institutions

SGU B.Tech Lateral AI ML Fees

Fee Structure

• Hostel fees of Rs 57,000 per year are optional and not mandatory.
• All fees are as per the official fee structure for 2026-27.
• Exam fees are charged annually.
• The university offers EMI options for fee payment.
• Refundable security deposit may be applicable as per university norms.

SGU B.Tech Lateral AI ML Admission 2026

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College-Specific Admission Dates for 2026-27

The dates mentioned above are tentative and subject to change.

Eligibility Criteria:

• Candidates must have passed a 3-year diploma in Computer Science, Information Technology, Electronics, or related engineering branches from an AICTE-approved institution with a minimum of 45% marks (40% for SC/ST candidates)
• Alternatively, candidates with B.Sc (Non-Medical) with a minimum of 45% marks are also eligible
• Indian nationals and NRI/OCI candidates are eligible to apply
• Age limit: Candidates should not be more than 23 years old as on the date of admission (relaxation applicable for reserved categories)

Admission Process:

• Online application submission through the official SGU website
• Merit-based selection based on diploma/B.Sc marks and entrance exam scores (if applicable)
• Counselling round for shortlisted candidates
• Document verification and final admission confirmation
• Fee payment and registration to complete the admission process

SGU B.Tech Lateral AI ML Scholarships 2026

Scholarship Details

• Merit scholarships are awarded based on academic excellence in diploma or B.Sc examination.
• Minority scholarships are available for eligible SC/ST/OBC candidates with annual family income below Rs 2.5 Lakh.
• Loyalty scholarships are provided to continuing students maintaining a CGPA above 9.
• All scholarship applications must be submitted within the specified deadlines.
• Scholarships are subject to maintenance of minimum academic performance throughout the course.

SGU B.Tech Lateral AI ML Placement 2026

Placement Statistics

• Placement statistics are based on the most recent available data.
• The university has a dedicated Training & Placement Cell that actively assists students in securing internships and placements in leading tech companies and AI/ML startups.