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Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) From Cambridge Institute of Technology, Bangalore
| Total Fees | ₹10.66 Lakhs |
Cambridge Institute of Technology Upcoming Application Dates 2024
Important Events
| Events | Dates |
|---|---|
| KCET Counselling Date | Tentative Aug 07, 2024 |
| KCET Registration Timeline | Tentative Jan 10, 2025 - Apr 01, 2025 |
| KCET Admit Card Availability | Tentative Apr 03, 2025 |
| COMEDK UGET Registration Timeline | Tentative Feb 01, 2025 - Apr 10, 2025 |
| KCET Exam Date | Tentative Apr 18, 2025 - Apr 19, 2025 |
| COMEDK UGET Admit Card Date | Tentative May 06, 2025 |
| COMEDK UGET Exam Date | Tentative May 12, 2025 |
| COMEDK UGET Result Date | Tentative May 24, 2025 |
| KCET Result Date | Tentative Jun 01, 2025 |
Expired Events
| Events | Dates |
|---|---|
| Counselling Registration & Document Uploading (B.Tech - Round 1) [COMEDK UGET] | May 24, 2024 - Jun 17, 2024 |
| Counselling Registration & Document Uploading (B.Tech - Round 1) [COMEDK UGET] | May 24, 2024 - Jun 17, 2024 |
| Document Verification Completion (B.Tech - Round 1) [COMEDK UGET] | Jun 22, 2024 |
Important Events
| Events | Dates |
|---|---|
| COMEDK UGET Registration Timeline | Tentative Feb 01, 2025 - Apr 10, 2025 |
| COMEDK UGET Admit Card Date | Tentative May 06, 2025 |
| COMEDK UGET Exam Date | Tentative May 12, 2025 |
| COMEDK UGET Result Date | Tentative May 24, 2025 |
Expired Events
| Events | Dates |
|---|---|
| COMEDK UGET Counselling Date | Jul 05, 2024 |
Important Events
| Events | Dates |
|---|---|
| KCET Counselling Date | Tentative Aug 07, 2024 |
| KCET Registration Timeline | Tentative Jan 10, 2025 - Apr 01, 2025 |
| KCET Admit Card Availability | Tentative Apr 03, 2025 |
| KCET Exam Date | Tentative Apr 18, 2025 - Apr 19, 2025 |
| KCET Result Date | Tentative Jun 01, 2025 |
Cambridge Institute of Technology Cutoff 2024
Cambridge Institute of Technology, KCET Cutoff 2024
The 2024 KCET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at Cambridge Institute of Technology was 28631 for the GM category.
Cambridge Institute of Technology, COMEDK UGET Cutoff 2024
The 2024 COMEDK UGET round 1 cutoff rank for the Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) at Cambridge Institute of Technology was 21151 for the GM category.
Cambridge Institute of Technology Bachelor of Engineering [BE] (Artificial Intelligence & Machine Learning) Ranking
Indiatoday Ranking
TOI Ranking
Eligibility Criteria
- A candidate who has passed 10 + 2 pattern of examination (equivalent to the two year Pre University in Karnataka) with Physics and Mathematics as compulsory subjects along with Chemistry/ Biotechnology/ Biology/ Computer Science/ Electronics as optional subjects in the qualifying examination is eligible to pursue an undergraduate degree in engineering at CITECH.
- The eligibility for admission is 45% in case of General Category and 40% marks in the qualifying examination in case of SC/ST, Category-1 and OBC Category candidates. The marks obtained by the candidate in Biotechnology/ Biology/ Computer Science/ Electronics in the qualifying examination will be considered in the place of Chemistry in case the marks obtained in Chemistry is less for the required aggregate percentage for the purpose of determination of eligibility (and not for the purpose of determination of rank, in respect of engineering/technology courses).
- Entrance Exam: KEA / COMEDK
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Why To Join Cambridge Institute of Technology - Reviews & Rating
Most Popular Tags
Likes
- Good Infrastructure Is maintained with clean and neat surroundings
- Experienced Teaching Lectures and Staff with friendly mindset
Dislikes
Course Curriculum Overview:
Artificial Intelligence and Machine Learning is being treading in better days hoping that it will be developed in the future. Students need programming languages to read moree this course will be the best in future
Likes
- We are provided with very good educated teaching staff
- The labs have upgraded systems for programming python with all facilities
Dislikes
- Lecturers are little fast in teaching the subjects
- Perfect notes isn't provided by the teachers
Course Curriculum Overview:
Artificial intelligence is a Newly upgraded course which is trending and as it as a very good scope in future ,where the future generation need the well artificial intelligence upgraded systems and products
Likes
- The collge ground where we can play all types of games
- The colleges large badminton court and the basket ball grounf
Dislikes
- in some floor the washrooms are very outdated
- The circulum is little bit outdated according the present situation
Course Curriculum Overview:
I had an interest in artificial intelligence so I wanted to explore this course. and as this future learning artificial intelligence and machine learning would be very useful. It is not so difficult with the curriculum.
Likes
- I liked library and programming lab and playing ground
- I liked library it is comfortable for me to study
Course Curriculum Overview:
I have selected artificial intelligence and machine learning because it have better future.this artificial intelligence courses having programming languages including python and c programming and caed.aiml course is comfortable for me .and artificial intelligence having so many softwares.
Likes
- Sports which provide with both indoor and outdoor games
- Library and labs are well maintained and provides good environment
Course Curriculum Overview:
I wanted to take AIML course and curriculum made me confident to choose this course. To know more about the course I was very interested. The curriculum was very interesting and makes you confident to choose the course.
Likes
- Beautiful campus, digital library and digital classroom
- Chiguru biggest even and good facilities for hostel and well maintained mess
Course Curriculum Overview:
Artificial intelligence and machine learning are the future of life and they come under the computer science stream. The classes are digitally taken. There is the library that provides all related books and content which bring knowledge. The teaching is understandable and helpful.
Likes
- Placements: CIT apparently has a strong placement record with a good percentage of students getting placed in various companies [2, 4].
Dislikes
- Washrooms can be made even more better by maintance
- Timings can be made convenient so that we can spend time on developing our skills
Course Curriculum Overview:
Most of the faculties are PhD degree holder with min 10+ years of experience. Special care is given to students with less scores. Individual attention is given for all. Constant encourage to students are given. Often recommend us to do some certification course and internships referred by faculty members.
Likes
- There is a very good student environment .
- Various opportunity for us to work with our own department teachers in projects.
Dislikes
- Canteen and it's environment is not up to the mark.
- Timings can be made convenient so that we can have an opportunity to work on other projects and also give importance to the academic.
Course Curriculum Overview:
Most of the faculties are PhD degree holder with min 10+ years of experience. Special care is given to students with less scores. Individual attention is given for all. Constant encourage to students are given. Often recommend us to do some certification course and internships referred by faculty members.
Likes
- Campus is huge and classrooms have smartboard.
- We have a safe security in the whole campus .
Dislikes
- There is no much good places for food and cafeteria .
- Timings can be made convient for students .
Course Curriculum Overview:
The admissions office can be a great resource. Contact details like email and phone numbers should be on the college website. You can inquire about the course structure and curriculum for the specific management program you're interested in. Look for online reviews from current or past students on platforms specific to student experiences or even general college review sites. Keep in mind that reviews can be subjective, so use them as a starting point for your research.
Course Curriculum Overview:
The course I chose was AIML. I chose this course because it is a branch of CSE and it is the future for development. The faculty here is good we have lecturers for all the subjects. The faculty here almost all of the hold a doctorate degree. The first sem exams were offline and were moderately difficult. The second sem was online, so you know what might be the outcome.
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