Vijaya Vittala Institute of Technology Bangalore BE Artificial Intelligence & Machine Learning: Fees 2026, Course Duration, Dates, Eligibility

Kothanur, BangaloreEstd 2008 VTU, Belgaum NAAC Grade
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Collegedunia Team

Content Curator | Updated on - Jul 4, 2026

VVIT Bangalore’s BE in Artificial Intelligence and Machine Learning is a 4-year VTU programme covering machine learning, deep learning, natural language processing, and computer vision. Admission is via KCET or COMEDK UGET and total fees are INR 8,00,000 for four years. The institute is NAAC B+ accredited and AICTE approved, situated on Hennur Bagalur Road in North Bangalore, making it accessible to students targeting AI careers in the city’s technology belt.

📋 Admission Status: Applications closed. KCET counselling seat allotment begins 15 July 2026.


VVIT BE AI ML Fees 2026

ComponentAmount (INR)
Tuition FeesINR 2,00,000 per year
Total Fees (4 years)INR 8,00,000
  • Fee figures apply to KCET and COMEDK quota seats.
  • Management quota fees differ and are regulated separately.
  • Hostel charges are separate and billed by VVIT.

VVIT BE AI ML Admission 2026

EventDate
KCET 2026 ExamApril 22 to April 24, 2026
COMEDK UGET 2026 ExamMay 9, 2026
COMEDK UGET 2026 Result DeclaredMay 29, 2026
KCET 2026 Result DeclaredJune 6, 2026
KCET Counselling Mock AllotmentJuly 6, 2026
KCET Round 1 Seat AllotmentJuly 15, 2026
  • KCET counselling is conducted by Karnataka Examinations Authority.
  • COMEDK counselling closed registration on June 12, 2026.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Passed 10+2 or PUC with Physics and Mathematics as compulsory subjects along with Chemistry, Biology, Computer Science, or Electronics.
  • Minimum 45% aggregate marks in the qualifying examination. SC/ST/OBC candidates from Karnataka require 40%.
  • A valid KCET 2026 rank or COMEDK UGET 2026 rank is mandatory for admission.

Admission Process

  • Register on the KEA portal at cetonline.karnataka.gov.in for KCET counselling or on comedk.org for COMEDK counselling.
  • Upload scanned mark sheets, photograph, category certificate, and Karnataka domicile proof for document verification.
  • Complete online option entry by ranking preferred colleges and branches in order of preference.
  • Review mock allotment on July 6 and modify options before the July 9 modification deadline if required.
  • Accept final seat allotment after Round 1 results published on July 15, 2026.
  • Pay the first semester fee and report to VVIT with originals for admission confirmation.

✓ Opt for this if

  • You want an AI-focused VTU degree within North Bangalore at a controlled fee.
  • You have a KCET or COMEDK rank and prefer a B+ NAAC campus near Yelahanka.
  • You plan to prepare for GATE or build a machine learning career after graduation.

✗ Skip if

  • You need a verifiable placement track record from an AI programme before enrolling.
  • You want a campus in Central or South Bangalore closer to major IT parks.
  • You require an IIT or NIT brand for corporate recruitment in AI roles.

VVIT BE AI ML Scholarships 2026

ScholarshipAmountEligibility / Schedule
Karnataka Govt. Fee ReimbursementUp to full tuitionSC/ST/OBC students from Karnataka. Income limit applies. Applied via state welfare portals.
Vidyasiri ScholarshipINR 15,000 to INR 30,000 per yearMeritorious Kannadiga students. Applied via KPCST portal during the academic year.
AICTE Pragati ScholarshipUp to INR 30,000 per yearGirl students in AICTE-approved technical programmes. Applied via AICTE portal annually.
GOI Post-Matric ScholarshipVaries by categorySC/ST/OBC and minority students. Applied via National Scholarship Portal before state deadline.
  • Apply for state scholarships before deadlines announced each semester.
  • Karnataka domicile certificate is required for state scholarship applications.
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Vijaya Vittala Institute of Technology Bangalore: Students' Opinion

AI-Generated Summary based on 2 Reviews

VVIT College faces a shortage of faculty compared to student numbers, though first-year faculty are generally well-regarded. Student-teacher relationships are positive, although interactions with Heads of Departments can vary. The mathematics department, particularly Radha Mam, is noted for being supportive. Course assessments include two internal exams and a final semester exam by VTU. College-prepared exam papers are challenging, and the exam schedule is often criticized for poor organization, causing stress due to overlapping exams and assignment deadlines.

Tuition fees for government seat engineering students start at 123,000 INR for the first year, rising to about 130,000-135,000 INR by the fourth year. The annual bus fee is 24,000 INR, with yearly increments of 2,000-4,000 INR. The total annual fee, covering various expenses, is approximately 130,000 INR. Management seat students face higher fees, with Computer Science at 400,000 INR per year and other courses ranging from 300,000 to 400,000 INR.

Hostel fees are between 60,000 and 70,000 INR. Scholarships under the SSP program are available for both government and management seat students, with government seat students given higher priority. The scholarship amount ranges from 18,000 to 20,000 INR.

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 By Collegedunia’s Personal AI

VVIT BE AI ML FAQs

Ques. What KCET rank is generally needed for BE AI ML at VVIT Bangalore?

Ans. KCET closing ranks for BE AI and Machine Learning at VVIT vary each cycle based on candidate demand and seat availability. CSE-adjacent branches typically draw more competition than core branches. For precise category-wise closing ranks, candidates can refer to the KEA portal at cetonline.karnataka.gov.in where round-wise cutoff data from previous counselling sessions is publicly available. Checking multiple rounds is advisable since seats may open in later rounds.

Ques. Is BE AI ML at VVIT different from BE CSE with AI ML specialisation?

Ans. Yes. BE in Artificial Intelligence and Machine Learning at VVIT is a dedicated programme where the entire four-year curriculum is built around AI and ML topics, including deep learning, computer vision, and natural language processing as core subjects. BE CSE with AI ML is a computer science degree with AI and ML as a specialisation track alongside the full CSE core. Both are VTU-affiliated programmes, but the standalone AI ML degree allocates more credits specifically to AI domains.

Ques. What tools and programming languages are covered in VTU BE AI ML?

Ans. The VTU BE AI ML curriculum includes Python as the primary language, with hands-on exposure to TensorFlow, PyTorch, scikit-learn, and Keras for building machine learning and deep learning models. Data handling tools such as NumPy, Pandas, and Matplotlib are part of core lab courses. Students also encounter SQL databases and basic cloud computing concepts through elective coursework in the later semesters of the programme.

Ques. Can I use a COMEDK UGET rank for AI ML admission at VVIT?

Ans. Yes. VVIT accepts both KCET ranks and COMEDK UGET ranks for the BE AI ML programme. COMEDK counselling is conducted separately through the Consortium of Medical, Engineering and Dental Colleges of Karnataka portal. Students with a COMEDK rank should include VVIT with the AI ML branch as one of their preferred options during the COMEDK online option entry phase to be considered for a seat allotment.

Ques. Does VVIT Bangalore offer hostel accommodation for BE students?

Ans. Hostel charges are not included in the published total fee of INR 8,00,000 for the BE AI ML programme. VVIT is on Hennur Bagalur Road in North Bangalore, and students who need on-campus accommodation should contact the VVIT admissions office directly to confirm hostel availability, room types, and applicable charges for the 2026-27 academic session before finalising admission.

Ques. What higher study options are available after BE AI ML from VVIT?

Ans. Graduates of BE AI ML from VTU-affiliated colleges like VVIT can pursue M.Tech in AI, Data Science, or Computer Science at VTU colleges via Karnataka PGCET, or at IITs, NITs, and IIITs via the GATE exam. International MS programmes in AI and machine learning are also pursued by many graduates. Alternatively, graduates can enter the workforce as machine learning engineers, data analysts, AI developers, or software engineers at IT service and product companies.

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