B.Tech. in Artificial Intelligence and Machine Learning
3.8 /5- Private Institute
- Estd. 2013
Last updated on 19 May '26
- Overview
- Fees
- Curriculum
- Student Reviews
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- + 3 more items
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Overview
Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences offers a 4 years B.Tech. in Artificial Intelligence and Machine Learning course at the UG level. A total of 180 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 20,00,000. Find out more about other courses under Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences B.E. / B.Tech.
Total Tuition Fees | ₹20.00 Lakh Get Fees details |
Duration | 4 years Get Curriculum |
Course Level | UG Degree |
Mode of Course | Full Time |
Average package | ₹ 6.12 Lakh |
Application Link | Go to Website  |
Seat breakup | 180 |
Type of University | Private |
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Fees
The total tuition fee for Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences B.Tech. in Artificial Intelligence and Machine Learning is INR 20,00,000. Besides, the fee also includes other components, such as exam fee, caution deposit, enrollment fee, etc. Some of the fee components, such as caution deposit are one-time payable. Candidates after getting admission in B.Tech. in Artificial Intelligence and Machine Learning need to pay the Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences fee to confirm their seat in the institute. Below is fee breakup for Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences B.Tech. in Artificial Intelligence and Machine Learning:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 20.00 Lakh |
₹ 20.00 Lakh |
These are based on information available on various sources. Latest values may differ.B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Curriculum
Students can download the latest Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences B.Tech. in Artificial Intelligence and Machine Learning curriculum from the link provided here. The curriculum PDF is inclusive of semester-wise course structure, electives & detailed course content. Students who are interested in securing admission to this course can check course curriculum details below:
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Students Ratings & Reviews
1 Verified Review- 3-41
Placements4.0
Infrastructure4.0
Faculty & Course4.0
Campus Life3.0
Value for Money4.0B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Students also asked
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B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Placements
| Particulars | Statistics (2024) |
|---|---|
| Average Salary | INR 6.12 Lakh |
| Highest Salary | INR 52.00 Lakh |
| Median Salary | INR 7.50 Lakh |
| % Batch placed | 80 |
| Highest International Salary | INR 22.00 Lakh |
Top Recruiters for Faculty of Engineering and Technology, MSRUASB.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Entry Requirements
- 45%
candidates must have Passed 12th Std / Equivalent Exam with English as one of the Languages and obtained a Minimum of mentioned Marks in aggregate in Physics and Mathematics along with Chemistry / BioTechnology / Biology / Electronics / Computer.
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Admission Process
Admissions Open! Apply Now
Important Dates
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology, MSRUAS Cutoffs
3KCET round-wise cutoff Rank: (General-All India)
| Round | 2020 | 2024 | 2025 |
|---|---|---|---|
| 1 | 30989 | - | 13119 |
| 2 | - | 19494 | 16827 |
| 3 | - | - | 18244 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 19902 | 15970 |
| 2 | 22285 | 19544 |
| 3 | - | 22570 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2020 | 2024 |
|---|---|---|
| 1 | 30989 | - |
| 2 | - | 19494 |
KCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 |
|---|---|
| 1 | - |
| 2 | 22285 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2021 |
|---|---|
| 1 | 7286 |
| 2 | - |
| 3 | 15272 |
COMEDK UGET round-wise cutoff Rank: (General-Home State)
| Round | 2021 |
|---|---|
| 1 | 29280 |
| 2 | 29280 |
COMEDK UGET round-wise cutoff Rank: (OBC-All India)
| Round | 2021 |
|---|---|
| 1 | 7286 |
| 2 | - |
| 3 | 15272 |
COMEDK UGET round-wise cutoff Rank: (OBC-Home State)
| Round | 2021 |
|---|---|
| 1 | 29280 |
| 2 | 29280 |
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Bangalore ( Karnataka)
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