B.Tech. in Artificial Intelligence and Machine Learning
3.8 /5- Private Institute
- Estd. 2013
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Overview
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology is a 4 years course offered at the UG level. To get admitted to B.Tech. in Artificial Intelligence and Machine Learning course at Faculty of Engineering and Technology, applicants must meet the entry requirements - 45.0% in 12th. The total tuition fee for Faculty of Engineering and Technology B.Tech. in Artificial Intelligence and Machine Learning is INR 1800000. Apart from the tuition fee, there is a hostel fee of amount INR 50000 that students are required to pay. The course offers admission to 90 students. Check other courses of Faculty of Engineering and Technology B.E. / B.Tech.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹18.00 Lakh |
Average package | ₹6.12 Lakh |
Official Website | Go to Website  |
Seat breakup | 90 |
Type of University | Private |
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Fees
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 18.00 Lakh |
₹ 50,000 | |
₹ 18.50 Lakh |
These are based on information available on various sources. Latest values may differ.
View scholarships
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Highlights
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
- Application Open | Apply www.bit.ly/MSRUAS-appl?open-reg
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Curriculum
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
Latest curriculum for B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in B.E. / B.Tech at Faculty of Engineering and Technology
Want to know more about Faculty of Engineering and Technology Scholarship details?
Read about Scholarship
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Placements
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
| 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 TechnologyAmazon
Bata India
E&Y
Infosys
Make My Trip
Mphasis
TATA Consultancy Services
Tata Steel
Torry Harris
Wipro
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Entry Requirements
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
General
OBC
SC
ST
Requirements for 12th grade
- 45%
- Read moreCandidate must have passed 10+2 or equivalent examination with mentioned marks in Physics, Chemistry and Mathematics and should have passed these subjects individually with English as a compulsory subject from recognized by State/Central Government. Physics and Mathematics are compulsory subjects along with Chemistry or Bio Technology or Biology or Computer Science or Electronics as one of the optional subjects. Candidates belonging to OBC, SC and ST must be domicile of Karnataka state.
Uni-GAUGE
- N/A
COMEDK UGET
- N/A
KCET
- N/A
RUASAT
- N/A
Other eligibility criteria
Candidates passed Diploma are not eligible to take the Entrance Test as there are no lateral entry admissions.
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Admission Process
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
- Register and ApplyApplication Open | Apply www.bit.ly/MSRUAS-appl?open-reg
Important Dates
Jul 24 - Aug 31, 2024
Application Start Date
B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Cutoffs
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
3Gender
Quota
Category
KCET round-wise cutoff Rank: (General-All India)
| Round | 2020 | 2024 |
|---|---|---|
| 1 | 30989 | - |
| 2 | - | 19494 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2021 |
|---|---|
| 1 | 7286 |
| 2 | - |
| 3 | 15272 |
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Read B.E. / B.Tech reviews from Faculty of Engineering and Technology
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B.Tech. in Artificial Intelligence and Machine Learning at Faculty of Engineering and Technology Students Ratings & Reviews
B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
3.8/5
1 Verified Review- 3-41
Placements4
Infrastructure4
Faculty & Course4
Campus Life3
Value for Money4A
Anish Suneja
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2026
Offered by Faculty of Engineering and Technology, M.S. Ramaiah University of Applied Sciences
3.8
4Placements4Infrastructure4Faculty3Crowd & Campus Life4Value for Money
I am satisfied with this college because it has good placements and good infrastructure.
Placements: Our placement cell is very good. They always try to provide better placements at the best companies. About 40% of students have been placed in campus interviews till now. The highest salary package offered is 8 LPA, the lowest is 3.5 LPA, and the average is 4 LPA to 5 LPA. Top recruiting companies are TCS, Infosys, Capgemini, IBM, Accenture, Ugam Solutions, Hexaware, and many more. Around 20% of students get internships in small companies. Roles offered in our course are data analyst and software engineer.
Infrastructure: We have Wi-Fi facilities with good internet speed. We have 6 labs, and each lab has Wi-Fi, printers, and scanners. There is a server room, which handles all machines present in the 6 labs. Our college also has a library. Our college has a projector facility for presentations, workshops, and seminars. Our college doesn't have a hostel. We have a great canteen.
Faculty: Our faculty members are caring and knowledgeable. They always try to provide us with the best knowledge. They are supportive. Teaching quality is also good. Our curriculum is quite better because we have the basic knowledge of industries, which is covered in our curriculum. Semester exams are also good. The pass percentage is 70% to 80%.
Reviewed on 10 Oct 2022Read More
View 1 Review
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at Faculty of Engineering and Technology
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B.Tech. in Artificial Intelligence and Machine Learning
at Faculty of Engineering and Technology
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