B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.5 /5B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Rankings
- Highlights
- Curriculum
- + 5 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
School of Engineering and Technology, CMR University offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at UG level. To secure a seat in this course, aspirants must fulfil the entry requirements. The fee for the courses offered at School of Engineering and Technology, CMR University is inclusive of different components, such as tuition fees, caution money, etc. School of Engineering and Technology, CMR University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) tuition fee amounts to INR 16,00,000. Aspirants can check other School of Engineering and Technology, CMR University B.E. / B.Tech courses as well. The following table can be referred to for the course details:
Total Tuition Fees | ₹16.00 Lakh Get Fees details |
Duration | 4 years Get Curriculum |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
School of Engineering and Technology, CMR University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee structure is obtained by collating various components such as the Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. The total expenset may vary, depending on the additional charges of the School of Engineering and Technology, CMR University. The total tuition fees of B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 16,00,000. Tabulated below are more details about School of Engineering and Technology, CMR University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee breakup:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. Tuition fee is calculated on the basis of 1st year. Actual amount may vary. | ₹ 16.00 Lakh |
₹ 16.00 Lakh |
These are based on information available on various sources. Latest values may differ.B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Rankings
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
| Rank | Rank Publisher |
|---|---|
| #246 | |
| #247 |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Highlights
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
- Academic curriculum designed on Outcome Based Education (OBE), aligned with industry requirements and in sync with global certifications
- Unique Academics Delivery Model – Programmes are delivered through a unique technology enabled blended delivery model, with ‘The New 3E’s of Education’- Enable, Engage and Empower
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Curriculum
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
Candidates can access School of Engineering and Technology, CMR University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) curriculum by downloading the link provided below. The curriculum PDF consists of semester wise course structure breakup, along with details about electives and other course content. To learn more about the course curriculum of your respective choice, check out the details below:
R
Rayankula Jyothsna 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.2
3Placements4Infrastructure5Faculty5Crowd & Campus Life4Value for Money
Good infrastructure and the service provided by the faculty in academics.
Placements: We recently learnt pattern recognition, machine learning algorithms, and artificial intelligence, along with how to use the hardware projects, liking to the software project, which was a good experience overall. The most preferred recruiters are Google, TCS, and Microsoft. The highest package offered till date is 20 LPA, and the average is 6 LPA.
Infrastructure: The hostel is well-maintained, and the games are conducted on a weekly basis. Wi-Fi is a little bit problematic, and the education is good, as well as the innovation activities are provided very effectively. The canteen is also well-maintained, and almost all students love to go to the canteen.
Faculty: Faculty members help students with the questions calmly. The pass percentage is 40% on campus. Course curriculum is related to the courses you chose. The education facility provided by the faculty is absolutely excellent, they teach things starting from the basics.
Other: The festival is conducted rarely as the college is trying to focus on innovation and education more.
Reviewed on 10 May 2025Read More
P
Prince Kumar
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3
2Placements3Infrastructure4Faculty3Crowd & Campus Life3Value for Money
If you are not getting any college then this is the best college over here.
Placements: We are in the 2nd batch in the AIML field but doesn't seem to be a good placement here. Depends upon the seniors next year hopefully, they will make some adequate base from us to get placed. But if I talk about CSE branch they did not performed well.
Infrastructure: The infrastructure of the college is average and still, they are building but they are improving and they are building up to mark. Things take time so they are. They have the best cricket stadium on campus and it is good to have it.
Faculty: They conduct the exams very well and it's always fair we can say. They work hard for this to conduct the fair exam. They have professional experience all over the faculty and they never disappoint in this. I am very satisfied with the exams they are conducting.
Reviewed on 19 May 2025Read More
R
Rashmi
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.4
3Placements4Infrastructure4Faculty3Crowd & Campus Life3Value for Money
Our college is good for talented students.
Placements: About 60 percent of students got placements in companies like NASA, Infosys, IBM, Wipro, and many others. The highest package is more than 30 LPA, the average is about 15 LPA, and the lowest is 5 LPA. This is about our college placements.
Infrastructure: We have good faculty members with high-speed Wi-Fi connection and a good library with all knowledgeable books and computers. We have extracurricular activities like sports and all, and good food in the hostel, and we have medical facilities too.
Faculty: About the faculty, we have good professors, but some are average, and about our exams, they're not too difficult or too easy, they're average. The teachers help us in every difficult level and teach us at any time, as we have supportive teachers, and they make us ready for the industry.
Other: Improvement is needed in the faculty, and also more placement opportunities.
Reviewed on 10 Dec 2025Read More
View All 3 Reviews
Download exam sample paper
COMEDK UGET
COMEDK UGET
JEE Main
KCET
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
Top Recruiters for CMR University, Lake Side campusAmazon
Bosch Ltd
CapGemini
Delhivery
Deloitte
Ernst & Young
Flipkart
Goldman Sachs
HCL
IBM
Infosys
KPMG
NTT Data
Zomato
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
General
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.
JEE Main
COMEDK UGET
KCET
Other eligibility criteria
Candidates passed Diploma are not eligible to take the Entrance Test as there are no lateral entry admissions.
Conditional Offer
- Not mentioned
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
- Admission ProcessFor admissions related detail please click on https://www.shiksha.com/university/cmr-university-bangalore-47389/admission
Important Dates
ALL
COURSE
KCET
JEE MAIN
COMEDK UGET
Feb 3 - Mar 16, 2026
COMEDK UGET-COMEDK Application Form 2026
Feb 24 - Mar 30, 2026
KCET Application Correction Window
Mar 28, 2026
JEE Main 2026 Admit Card Session 2Tentative
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
3Gender
Quota
Category
KCET round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 34209 | - | 24830 |
| 2 | 39184 | 49507 | 31503 |
| 3 | - | - | 36709 |
KCET round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 39717 | - | 24926 |
| 2 | 45321 | 52229 | 32426 |
| 3 | - | - | 38678 |
KCET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 44677 | 34209 | - |
| 2 | 45426 | 39184 | 49507 |
KCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 48663 | 39717 | - |
| 2 | 50883 | 45321 | 52229 |
COMEDK UGET round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2025 |
|---|---|---|
| 1 | - | 26740 |
| 2 | 56029 | - |
| 3 | - | 47545 |
| 4 | - | 103021 |
COMEDK UGET round-wise cutoff Rank: (General-Home State)
| Round | 2025 |
|---|---|
| 1 | 78883 |
| 2 | 92917 |
COMEDK UGET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 |
|---|---|
| 1 | - |
| 2 | 56029 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at CMR University, Lake Side campus Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at CMR University, Lake Side campus
Address
CMR University, LAKESIDE CAMPUS, Chagalahatti
Bangalore ( Karnataka)
Phone
Go to College Website ->
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