M.V.J. College of Engineering Whitefield Bangalore Answered Questions

MVJCE M.Tech in AI and DS cutoff 2025 was out for admission to the various categories belonging to the All India and Home State quota via the Karnataka PGCET results.For the General AI category students, the cutoff was 4336 in the first round and jumped to 7733 in the last round. This means that candidates with a rank below 7733 can easily avail admissions for this course. Oher categories, quotas, rounds, etc., will have different cutoffs accordingly.   

The MVJCE KCET Cutoff 2025 was published for admission to the BE/BTech courses for various categories and rounds under the All India and Home State quota. For the General AI category, the last round cutoff ranged from 26347 to 257572,  wherein the easiest and the hardest courses for admission were B.E. in Civil Engineering and B.E. in Artificial Intelligence and Machine Learning, respectively. Note: Other categories, rounds, quotas and courses will have different cutoffs accordingly.

The MVJCE BTech CSE cutoff was released for admission for various categories under both the All India and Home State quota. As per the data below for the General AI category, we can conclude that the competition has been decreasing over the years over the years. The higher the cutoff, the lower the competition.Candidates can check the table below for more information. CourseCutoff 2025Cutoff 2024Cutoff 2023B.E. in Computer Science and Engineering193892729629603

 The MVJCE Karnataka PGCET cutoff 2025 was released for admission to the MBA and M.Tech courses for multiple categories under both All India and Home State quota. The cutoff was published in the form of opening and closing ranks. For the General AI category, the overall cutoff ranged from 9660 in the first round to 27781 in the last round for the MBA programme. To know more information regarding cutoff details about other categories, rounds, courses and quotas, students can click here.  

Yes, MVJ College of Engineering offers direct admission to its B.E. in Artificial Intelligence and Machine Learning programme. The college is affiliated to Visvesvaraya Technological University (VTU) and approved by All India Council for Technical Education (AICTE). The programme covers foundational concepts, research and development, practical applications, and interdisciplinary approaches, providing students with a comprehensive education in AI and ML.

The MVJ College of Engineering offers admission to the B.E. in Computer Science and Engineering course based on the Karnataka Common Entrance Test (KCET) examination and selection process, or through the Management Admission process. Indian students must have passed II PUC / 12th Standard or equivalent examination with a minimum of 45% of marks aggregate in Physics and Mathematics, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science.

The admission criteria for B.E. in Artificial Intelligence and Machine Learning at MVJ College of Engineering are as follows:
Students should have passed II PUC / 12th Standard or equivalent examination, with English as one of the languages, and obtained a minimum of 60% of marks aggregate in Physics and Mathematics, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science.Admission to Undergraduate Engineering programmes may be obtained through the Karnataka Common Entrance Test (KCET) examination and selection process, or through the Management Admission process.For CET Quota Students, they should have passed II PUC / 12th Standard or equivalent examination, with English as one of the languages, and obtained a minimum of 45% of marks aggregate in Physics and Mathematics, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science.For Management Quota Direct Admission students, they should have passed II PUC / 12th Standard or equivalent examination, with English as one of the subjects and obtained an aggregate of at least 60% in Math and Physics, along with Chemistry / Biology / Electronics / Computer Science.For Lateral Entry, students should have passed Diploma or equivalent examination as recognized by the University, and secured not less than 45% marks in the final year examination (fifth and sixth semesters), in the relevant branch of Engineering.For International / NRI Students, they should contact the Admission Cell at the college campus, directly, and obtain the Application Form.

Yes. You can get admission to B.E. in Artificial Intelligence and Machine Learning with 60% in Class 12 at MVJ College of Engineering. The eligibility criteria for the B.E program in AI and ML Engineering is a minimum of 60% aggregate in Physics and Mathematics, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science in II PUC / 12th Standard or equivalent examination.

Obtain the Application Form: NRI students can contact the Admission Cell at the college campus to get the Application Form.
Check Eligibility: Ensure that the candidate fulfils the required eligibility criteria, including passing II PUC / 12th Standard or equivalent examination with a minimum of 45% of marks aggregate in Physics and Mathematics, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science.
Admission through KCET: Students can gain admission through the Karnataka Common Entrance Test (KCET) examination and selection process.
Management Admission Process: Admission can also be obtained through the Management Admission process.

The documents required for B.E. in Computer Science and Engineering admission at MVJ College of Engineering are:
1. II PUC / 12th Standard or equivalent examination marks card
2. KCET examination score card (for CET Quota Students)
3. English as one of the languages in the qualifying exam
4. Aggregate of at least 45% in Math and Physics, along with Chemistry / Biotechnology / Biology / Electronics / Computer Science
5. Equivalence Certificate from the Association of Indian Universities (AIU), New Delhi (for students who have passed the qualifying exam from a Board other than the Boards mentioned in the VTU list)