B.Tech AI & ML Colleges in Mangalore
India is home to many Artificial Intelligence & Machine Learning colleges. There are 14 Artificial Intelligence & Machine Learning colleges. These 14 colleges can be classified into 13 private owned and 1 public / government owned.
Location wise
Mangalore is home to many Artificial Intelligence & Machine Learning colleges. Out of which, Tamil Nadu, Maharashtra, Andhra Pradesh having maximum no. of Artificial Intelligence & Machine Learning colleges. Refer to the table below Mangalore offering Artificial Intelligence & Machine Learning colleges in India.
| Location Details | Colleges |
|---|---|
| Tamil Nadu | 346 Colleges |
| Maharashtra | 200 Colleges |
| Andhra Pradesh | 168 Colleges |
| Karnataka | 144 Colleges |
| Uttar Pradesh | 138 Colleges |
| Telangana | 126 Colleges |
| Delhi/NCR | 122 Colleges |
| Chennai | 80 Colleges |
| Madhya Pradesh | 73 Colleges |
| Bangalore | 69 Colleges |
| Hyderabad | 67 Colleges |
| Rajasthan | 56 Colleges |
| Coimbatore | 54 Colleges |
| Haryana | 50 Colleges |
| Gujarat | 47 Colleges |
| Pune | 47 Colleges |
| West Bengal | 44 Colleges |
| Tamil Nadu - Other | 44 Colleges |
| Kerala | 42 Colleges |
| Bhopal | 37 Colleges |
Specializations
The topmost Computer Science Engineering is the most popular specialisations followed by Mechanical Engineering in Mangalore. Refer to the table below showing specialisations offered by number of colleges.
| Specialization Details | Colleges |
|---|---|
| Computer Science Engineering | 22 Colleges |
| Mechanical Engineering | 18 Colleges |
| Electronics & Communication Engineering | 17 Colleges |
| Civil Engineering | 15 Colleges |
| Artificial Intelligence & Machine Learning | 14 Colleges |
| Information Technology | 11 Colleges |
| Electrical Engineering | 10 Colleges |
| Aeronautical Engineering | 5 Colleges |
| Electronics Engineering | 4 Colleges |
| Biotechnology Engineering | 2 Colleges |
| Cyber Security | 2 Colleges |
| Marine Engineering | 2 Colleges |
| Robotics Engineering | 2 Colleges |
| Agriculture & Farm Engineering | 1 Colleges |
| Automobile Engineering | 1 Colleges |
| Chemical Engineering | 1 Colleges |
| Mechatronics Engineering | 1 Colleges |
| Metallurgical Engineering | 1 Colleges |
| Mining Engineering | 1 Colleges |
| Nanotechnology | 1 Colleges |
Entrance Exams
KCET is the most popular exam accepted by Artificial Intelligence & M
India is home to many Artificial Intelligence & Machine Learning colleges. There are 14 Artificial Intelligence & Machine Learning colleges. These 14 colleges can be classified into 13 private owned and 1 public / government owned.
Location wise
Mangalore is home to many Artificial Intelligence & Machine Learning colleges. Out of which, Tamil Nadu, Maharashtra, Andhra Pradesh having maximum no. of Artificial Intelligence & Machine Learning colleges. Refer to the table below Mangalore offering Artificial Intelligence & Machine Learning colleges in India.
| Location Details | Colleges |
|---|---|
| Tamil Nadu | 346 Colleges |
| Maharashtra | 200 Colleges |
| Andhra Pradesh | 168 Colleges |
| Karnataka | 144 Colleges |
| Uttar Pradesh | 138 Colleges |
| Telangana | 126 Colleges |
| Delhi/NCR | 122 Colleges |
| Chennai | 80 Colleges |
| Madhya Pradesh | 73 Colleges |
| Bangalore | 69 Colleges |
| Hyderabad | 67 Colleges |
| Rajasthan | 56 Colleges |
| Coimbatore | 54 Colleges |
| Haryana | 50 Colleges |
| Gujarat | 47 Colleges |
| Pune | 47 Colleges |
| West Bengal | 44 Colleges |
| Tamil Nadu - Other | 44 Colleges |
| Kerala | 42 Colleges |
| Bhopal | 37 Colleges |
Specializations
The topmost Computer Science Engineering is the most popular specialisations followed by Mechanical Engineering in Mangalore. Refer to the table below showing specialisations offered by number of colleges.
| Specialization Details | Colleges |
|---|---|
| Computer Science Engineering | 22 Colleges |
| Mechanical Engineering | 18 Colleges |
| Electronics & Communication Engineering | 17 Colleges |
| Civil Engineering | 15 Colleges |
| Artificial Intelligence & Machine Learning | 14 Colleges |
| Information Technology | 11 Colleges |
| Electrical Engineering | 10 Colleges |
| Aeronautical Engineering | 5 Colleges |
| Electronics Engineering | 4 Colleges |
| Biotechnology Engineering | 2 Colleges |
| Cyber Security | 2 Colleges |
| Marine Engineering | 2 Colleges |
| Robotics Engineering | 2 Colleges |
| Agriculture & Farm Engineering | 1 Colleges |
| Automobile Engineering | 1 Colleges |
| Chemical Engineering | 1 Colleges |
| Mechatronics Engineering | 1 Colleges |
| Metallurgical Engineering | 1 Colleges |
| Mining Engineering | 1 Colleges |
| Nanotechnology | 1 Colleges |
Entrance Exams
KCET is the most popular exam accepted by Artificial Intelligence & Machine Learning colleges in Mangalore. Below is the table showing exams accepted by no. of Artificial Intelligence & Machine Learning colleges in Mangalore.
| Exam Details | Colleges |
|---|---|
| KCET | 11 Colleges |
| COMEDK UGET | 7 Colleges |
| JEE Main | 2 Colleges |
| CBSE 12th | 2 Colleges |
| ISC | 2 Colleges |
| KRLMPCA CET | 1 Colleges |
| Karnataka 2nd PUC | 1 Colleges |
| KSEEB | 1 Colleges |
| NUCAT | 1 Colleges |
B.Tech AI & ML Colleges in Mangalore
Commonly asked questions On B.Tech AI & ML Colleges in Mangalore
The BTech specialisations along with the seat intake offered are as below:
| BTech Specialisation | Seat Intake Seats Wise | Seat Intake - All India Seats |
|---|---|---|
| Chemical Engineering | 29 | 29 |
| Civil Engineering | 57 | 58 |
| Computational and Data Science | 15 | 15 |
| Computer Science Engineering | 58 | 57 |
| Electronics and Communication Engineering | 58 | 58 |
| Mechanical Engineering | 87 | 87 |
| Metallurgical and Materials Engineering | 29 | 29 |
| Mining Engineering | 29 | 29 |
NMAM Institute of Technology, NITTE University offers entrance-based admission. However, direct admission is accepted under the NRI/Foreign National/PIO category and through a Management Quota (for specific seats), allowing for admission without appearing for the Nitte University Common Admission Test (NUCAT)
Commonly asked questions On B.Tech AI & ML Colleges in Mangalore
Yes, Candidates who wish to become a professor after BTech in Electrical Engineering will also be required to complete MTech and PhD in the required discipline.They must clear GATE in order to pursue M.Tech and later pursue PhD in the same discipline. They must demonstrate excellent research skills by grabbing fellowships and submitting research papers across SCOPUS indexed journals.
Srinivas University offers variosu scholarship to students. The university offers merit-based and need-based scholarship. The university also offers government scholarships applicable to Karnataka state. Srinivas University scholarships are given below:
Scholarship | Eligibility |
|---|---|
Merit Scholarship | Top scorers in qualifying exams (KCET / JEE / NEET / 12th board) - fee waivers up to 50% |
Sports Achievement Scholarship | National / State level sports achievers - partial fee concession |
Need-Based Financial Aid | For economically weaker students - assessed on income certificate |
Srinivas Group Alumni Scholarship | For wards of Srinivas alumni - subject to availability |
Commonly asked questions On B.Tech AI & ML Colleges in Mangalore
Yes, Candidates who wish to become a professor after BTech in Electrical Engineering will also be required to complete MTech and PhD in the required discipline.They must clear GATE in order to pursue M.Tech and later pursue PhD in the same discipline. They must demonstrate excellent research skills by grabbing fellowships and submitting research papers across SCOPUS indexed journals.
Before applying for YU BTech admissions, students must do an eligibility check. Mentioned below is the eligibility criteria as per the official website:
Course | Eligibility Criteria |
|---|---|
BTech | Passed Class 12 with Physics & Mathematics (mandatory) with Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/Biotechnology/Technical Vocational subject/Engineering Graphics/Business Studies/Entrepreneurship and obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together |