B.Tech. in Artificial Intelligence and Machine Learning
4.3 /5- Private Institute
- Estd. 2001
B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Overview
GMIT - GM Institute of Technology offers 4 years B.Tech. in Artificial Intelligence and Machine Learning course to students. A total of INR 7,44,444 is the total tuition fee for this course. Check details around B.E. / B.Tech offered at GMIT - GM Institute of Technology in the table provided below:
Total Tuition Fees | ₹7.44 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 |
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B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Fees
GMIT Davangere has a well-defined fee structure, which includes various components. The major part of the GMIT Davangere B.Tech. in Artificial Intelligence and Machine Learning fee comprises tuition fee. Other than this, other fee components, such as exam fees, on-time admission fees, registration fees, etc. are also included in the total fee structure. In addition, the total fee structure of GMIT Davangere B.Tech. in Artificial Intelligence and Machine Learning has refundable and non-refundable components as well.
| Fee components | Amount (4 years) |
|---|---|
The mentioned fee is as per Consortium of Medical, Engineering and Dental Colleges of Karnataka (COMEDK). | ₹ 7.44 Lakh |
₹ 7.44 Lakh |
These are based on information available on various sources. Latest values may differ.Video stories
- Eligibility & Cut Offs
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B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Placements
| Particulars | Statistics (2021) |
|---|---|
| Median Salary | INR 4.50 Lakh |
B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Entry Requirements
- 45%
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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.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Admission Process
Important Dates
B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Cutoffs
3KCET round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 42745 | 50946 | 42715 |
| 2 | 46702 | 57517 | 51255 |
| 3 | - | - | 54758.5 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 43626 | 51101 | 47216 |
| 2 | 47206 | 59574 | 51369 |
| 3 | - | - | 58119 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 44960 | 42745 | 50946 |
| 2 | 46063 | 46702 | 57517 |
KCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 47408 | 43626 | 51101 |
| 2 | 47408 | 47206 | 59574 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 63445 | 84531 | 109678 |
| 2 | 53203 | 65054 | - |
COMEDK UGET round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 39969 | 53145 | 63445 |
| 2 | - | - | 53203 |
| 3 | 32541 | - | - |
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B.Tech. in Artificial Intelligence and Machine Learning at GM Institute of Technology Students also asked
GMIT - GM Institute of Technology BTech cutoff 2023 for Biotechnology Engineering was 71390 for SC and 71390 for ST category. While the admissions are based on the scores/rank obtained in COMEDK, the last cut offs also change a lot depending on All India quota or Home State. It also varies if the applicant is a female.
Opening and Closing rank depends on the category and quota of candidates. For COMEDK Round 2 cutoff 2023, the opening rank was 53203 and closing rank was 63445 for the general category candidates under All India quota. Cut off are different when it comes to other categories or female candidates and even domicile of home state. Admission to BTech. in Artificial Intelligence and Machine Learning in GMIT - GM Institute of Technology is based on the scores obtained in the COMEDK entrance exam. Applicants are advised to confirm what category are they applying while checking for cut offs.
GMIT - GM Institute of Technology COMEDK Round 2 cutoff for Computer Science Engineering is 75825 which is very close to this range. This was for general category under All India quota. Unless the candidate belongs to some other category or domicile, one can not afford to score less than this. With this rank, there is a probability of getting admission however since, the cut offs keep changing from round to round, better ranks definitely increases your chances of getting admission in GMIT - GM Institute of Technology.
The highest package offered during G M Institute of Technology placements 2023 is yet to be published on the official website. Once it is released, it will be updated on this page. Meanwhile, let’s take a look at the median packages offered during G M Institute of Technology placements 2023 in the table below:
Course | Median Package (2022) |
|---|---|
BTech | INR 4.50 LPA |
Note: The above-mentioned data are gathered from the G M Institute of Technology NIRF report 2024.
Aspiring candidates who wish to pursue a course at GMIT - GM Institute of Technology are required to follow the COMEDK UGET/KCET/GATE exam and complete the GMIT - GM Institute of Technology application process. Please refer to the table below to gather more information about GMIT - GM Institute of Technology course admissions, including eligibility and selection criteria.
| Courses | Eligibility | Selection |
|---|---|---|
Class 12 with 45% | ||
Graduation with 50% | ||
Class 12 with 45% | Merit-based | |
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