B.E. in Artificial Intelligence and Machine Learning
- Private Institute
- Estd. 2010
B.E. in Artificial Intelligence and Machine Learning at KSGI Overview
KSIT College offers admission to the B.E. in Artificial Intelligence and Machine Learning course. This is a 4 years course offered at UG level. For the complete course, the total tuition fee is INR 10,45,908. Candidates can check other courses under KSIT College B.E. / B.Tech and more details around B.E. in Artificial Intelligence and Machine Learning on this page.
Total Tuition Fees | ₹10.46 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 120 |
Type of University | Private |
- Overview
- Fees
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- Entry Requirements
- Admission Process
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B.E. in Artificial Intelligence and Machine Learning at KSGI Fees
KSIT College B.E. in Artificial Intelligence and Machine Learning fee structure is an amalgamation of several components such as Tuition Fees, One-Time Fees, Registration Fees and Exam Fees. Candidates may have to incur other additional charges, as mentioned by the institution. B.E. in Artificial Intelligence and Machine Learning is available for an amount of INR 10,45,908 of tuition fees at KSIT College. To learn more about the K.S. Group of Institutions B.E. in Artificial Intelligence and Machine Learning fee breakup, check out the details below:
| Fee components | Amount (4 years) |
|---|---|
The mentioned fee is as per Consortium of Medical, Engineering and Dental Colleges of Karnataka (COMEDK). | ₹ 10.46 Lakh |
₹ 10.46 Lakh |
These are based on information available on various sources. Latest values may differ.Video stories
- Eligibility & Cut Offs
B.E. in Artificial Intelligence and Machine Learning at KSGI Frequently Asked Questions
| Courses | Eligibility |
|---|---|
| B.E. / B.Tech | Candidate must have passed any Diploma examination or equivalent examination and scored a minimum of 45% (40% of marks in Q.E. in case of SC, ST and Backward Classes of Karnataka candidates.) marks taken together in all the compulsory subjects of the final year (Fifth and sixth semester) Diploma Examination (Q.E) will be eligible for admission to the BE courses. In addition, Candidate after qualifying the diploma, must also possess a minimum of Two Years Full Time Work experience as on the due date, of the year of admission, in a registered firm / Company / Industry / Educational and / Government Autonomous Organizations in the branch of Engineering / Technology, in which the candidates possess a Diploma and in which admission is sought by the candidates. |
| B.Arch | Candidate who have passed 10+3 Diploma Examination with Mathematics as compulsory subject with at least 50% marks in aggregate from a recognised Institute/ University can also apply. Candidates appearing for 10+3 Diploma with Mathematics in the current year may also provisionally appear for NATA-2023. |
| M.E./M.Tech | Candidates must have passed qualifying examination or equivalent examination as prescribed by the Competent Authority and obtained an aggregate minimum of 50% marks (45% of marks in case of SC, ST and Category-I candidates) taken together in all the subjects of all the years/ semesters of the Degree Examination from any recognised institute/university. Final year students can also apply on provisional basis. Candidates must have valid GATE score. |
| After 10th Diploma | Candidate must have passed Grade 10, SSLC or its equivalent with a minimum of 35% marks from a recognised board/institute. |
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B.E. in Artificial Intelligence and Machine Learning at KSGI Placements
| Particulars | Statistics (2023) |
|---|---|
| Median Salary | INR 3.70 Lakh |
Top Recruiters for KSGIB.E. in Artificial Intelligence and Machine Learning at KSGI Entry Requirements
- 45%
- Read more
Candidate must have passed in 2nd PUC / 12th Std / equivalent exam with Physics and Mathematics as compulsory subjects along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science as optional subjects with English as one of the languages of study and obtained a minimum of mentioned marks in aggregate in the optional subjects in the qualifying examination, from a recognized Institute/ board. (40% of marksin qualifying examination is required for Cat-1, OBC (2A, 2B, 3A and 3B category candidates)). Result awaited candidates can also apply.
B.E. in Artificial Intelligence and Machine Learning at KSGI Admission Process
Important Dates
B.E. in Artificial Intelligence and Machine Learning at KSGI Cutoffs
3KCET round-wise cutoff Rank: (General-All India)
| Round | 2020 | 2025 |
|---|---|---|
| 1 | 49636 | 30292 |
| 2 | - | 39650 |
| 3 | - | 42160 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2025 |
|---|---|
| 1 | 32234 |
| 2 | 42231 |
| 3 | 42484 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2020 |
|---|---|
| 1 | 49636 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 34180 | 43369 | 69505 |
| 2 | 45336 | 98020 | - |
| 3 | 72992 | - | 102605 |
| 4 | - | - | 102605 |
COMEDK UGET round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 96567 | 78846 |
COMEDK UGET round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 32164 | 37631 | 34180 |
| 2 | - | 39161 | 45336 |
| 3 | 39490 | - | 72992 |
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K.S. Group of Institutions admits students based on preset admission criteria which is both merit and entrance-based. Considering the ever-increasing competition and limited number of seats, K.S. Group of Institutions admission chances largely depend on student to student. However, with right prep + strategy, average students can also get a seat at the institute provided they satisfy the admission requirements. Students may connect with the admission desk of the institute to learn about the KSGI admission chances.
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B.E. in Artificial Intelligence and Machine Learning at KSGI Contact Information
K.S. Group of Institutions, No.14, Raghuvanahalli
Bangalore ( Karnataka)
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