Faculty of Engineering and Technology, MSRUAS
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B.Tech. in Artificial Intelligence and Machine Learning 

  • Private Institute
  • Estd. 2013
Dark Clock Icon Last updated on 19 May '26
Placement Review Icon

4.0Star Icon

Placements
Infrastructure Review Icon

4.3Star Icon

Infrastructure
Faculty Review Icon

4.3Star Icon

Faculty & Course
Campus Life Review Icon

3.7Star Icon

Campus Life
Value for Money Review Icon

4.0Star Icon

Value for Money
O
Omkar Rathod Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
4.4
Review of MS Ramaiah University of Applied Sciences, Bengaluru.
Placements: I am from 2025 to 2029 batch and my course is B.Tech in artificial intelligence and machine learning (AIML). 86 percent of students got placed per year and 72 percent of students got internships. The highest package is 52 LPA and the lowest package is 8 LPA. Most companies participate in placements that include KFC, Mahindra, and many more.
Infrastructure: The classroom, library, Wi-Fi, lab, etc., are available. Physics and Chemistry labs are well cleared and the student activities centre for playing indoor games is available.
Faculty: Teachers are well qualified and the teaching quality is the best. They prefer to teach in English to improve the students' communication skills. The exams are also strict and the question papers are ready according to the mark for each chapter. The lectures are good The best lecturers teach how to do experiments. Most of the lecturers are graduates from IIT and there is a separate room (SAC).
Other: Some cultural programs and sports competitions are also conducted.
Reviewed on 20 Feb 2026Read More
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A
Anish Suneja Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2026
3.8
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
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K
Karthik
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2029
4.2
The college has good reputation.
Placements: 90% of students are placed. Amazon, Vebuln, Philips, and AMD are some recruiting companies. There were around 60-80 internship opportunities last year. The highest package is 45 LPA, the lowest is 4 LPA, and the average package is 8-12 LPA offered in your course. Software development roles are in my course.
Infrastructure: The classroom and Wi-Fi are excellent. Lots of sports activities take place. Ramaiah Premier League, cricket, volleyball, and various sports are available. The college has a sports centre and a gym. The sports centre has table tennis and carrom. There is a mixed martial arts club where you can spend time on weekends, as well as a callisthenics club and coding clubs.
Faculty: Teachers are excellent and knowledgeable. The course is up to the mark. Semester-end exams are moderate to tough. Almost 80-90% is the pass percentage. Teachers are moderately strict, and they will help you with all kinds of work. You will have an industry visit every fortnight.
Reviewed on 17 Jan 2026Read More
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B.Tech. in Artificial Intelligence and Machine Learning
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Overview

Total Tuition Fees

20.00 Lakh
Get Fees details

Duration

Course Level

UG Degree

Mode of Course

Full Time

Average package

6.12 Lakh

Application Link

Go to Website External Link Icon

Seat breakup

180

Type of University

Private

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Fees

Fee componentsAmount (4 years)
20.00 Lakh
20.00 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Curriculum

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Students Ratings & Reviews

4.1/5
Verified Icon3 Verified ReviewsInfo Icon
Placement Review IconPlacements4.0
Infrastructure Review IconInfrastructure4.3
Faculty Review IconFaculty & Course4.3
Crowd Review IconCampus Life3.7
Money Review IconValue for Money4.0
G
Gagan Ganesh Naik Verified Icon
B.Tech. in Artificial Intelligence and Machine Learning - Batch of 2028
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
It is my dream college, which I thought would be good.
Placements: In our college, the highest-placed student is from the AIML branch, with a package of 52 LPA, which I don't remember if it is off-campus or on-campus. Many recruiting companies, like ABB, Wipro, Atkins, HCL, KPIT, GSK, MindTree, Amazon, Hyundai, TVS, Microchip, Philips, JLL, Toyota, TCS, Accenture, etc., visit the college to hire students. Placement percentage is 100 percent on our campus, which is a good thing. Internships start in the last year, and students work in software companies.
Infrastructure: There are many labs for students to practice and work on subjects. There is a separate block of Computer Science students where they teach core subjects to students, which helps them gain good placements. The infrastructure of the campus is very good and basic, which is a good thing. Hostel food is not so good, which is a disappointment. The food we get from the canteen is good but a little expensive. Now we get both non-vegetarian and vegetarian food on our campus from the canteen, which is a good thing.
Faculty: The examination center is very strict and punctual with the date for exams. Many teachers are very helpful in providing us with good guidance and support for our careers. The course curriculum is good. It helps us pass interviews for companies, but we should get more practical knowledge to survive in this field. Semester exams are quite difficult. Lab exams conducted at the end of the semester are very tough. The pass percentage is 55 percent.
Other: I chose this course because it is the future of world Artificial Intelligence. My wish is that if our campus provides more practical knowledge about the course, then it will for sure help us get a good career. Few events take place on our campus, of which Akira is the biggest of all. Students here are well-mannered. They come from all different states of India. The campus is ragging-free.
Reviewed on 20 Mar 2026Read More
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
 
Students also asked

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COMEDK UGET
JEE Main
KCET
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B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Placements

ParticularsStatistics (2024)
Average SalaryINR 6.12 Lakh
Highest SalaryINR 52.00 Lakh
Median SalaryINR 7.50 Lakh
% Batch placed80
Highest International SalaryINR 22.00 Lakh
Lock IconTop Recruiters for Faculty of Engineering and Technology, MSRUAS
Amazon
Bata India
E&Y
Infosys
Make My Trip
Mphasis
TATA Consultancy Services
Tata Steel
Torry Harris
Wipro
View placement details

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 45%

B.Tech. in Artificial Intelligence and Machine Learning
 at 
Faculty of Engineering and Technology, MSRUAS 
Admission Process

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Admissions Open! Apply Now

    Important Dates

    ALL
    COURSE
    KCET
    JEE MAIN
    COMEDK UGET
    Jul 6 - 9, 2026
    KCET-Edits and modification windowTentative
    Jul 10, 2026
    JEE Main counselling round 4 allotment
    Jul 15, 2026
    KCET-Final, first-round real seat allotment resultsTentative

    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Faculty of Engineering and Technology, MSRUAS 
    Cutoffs

    Filter Icon3
    Gender
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    Quota
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    Category
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    KCET round-wise cutoff Rank: (General-All India)
    Round202020242025
    130989-13119
    2-1949416827
    3--18244
    KCET round-wise cutoff Rank: (General-Home State)
    Round20242025
    11990215970
    22228519544
    3-22570
    KCET round-wise cutoff Rank: (OBC-All India)
    Round20202024
    130989-
    2-19494
    KCET round-wise cutoff Rank: (OBC-Home State)
    Round2024
    1-
    222285
    COMEDK UGET round-wise cutoff Rank: (General-All India)
    Round2021
    17286
    2-
    315272
    COMEDK UGET round-wise cutoff Rank: (General-Home State)
    Round2021
    129280
    229280
    COMEDK UGET round-wise cutoff Rank: (OBC-All India)
    Round2021
    17286
    2-
    315272
    COMEDK UGET round-wise cutoff Rank: (OBC-Home State)
    Round2021
    129280
    229280
    View Cutoff Details

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    B.Tech. in Artificial Intelligence and Machine Learning
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    Faculty of Engineering and Technology, MSRUAS 

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    Content authored by:

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    Anya Singh

    Updated on May 19, 2026

    B.Tech. in Artificial Intelligence and Machine Learning
     at 
    Faculty of Engineering and Technology, MSRUAS 
    Contact Information

    Address

    #470-P, Peenya Industrial Area, Peenya-IV Phase
    Bangalore ( Karnataka)

    Go to College Website ->