AI & ML colleges in Satara
There are 2 Artificial Intelligence & Machine Learning colleges in Satara. Of the total number of colleges offering Artificial Intelligence & Machine Learning, split of colleges by ownership is private: 2;
Location wise
Satara is home to 2 Artificial Intelligence & Machine Learning. Below is the list of prominent locations housing these colleges:
| Location Details | Colleges |
|---|---|
| Tamil Nadu | 372 Colleges |
| Maharashtra | 235 Colleges |
| Andhra Pradesh | 192 Colleges |
| Karnataka | 179 Colleges |
| Uttar Pradesh | 166 Colleges |
| Delhi/NCR | 152 Colleges |
| Telangana | 138 Colleges |
| Bangalore | 92 Colleges |
| Chennai | 86 Colleges |
| Madhya Pradesh | 86 Colleges |
| Hyderabad | 75 Colleges |
| Rajasthan | 67 Colleges |
| Coimbatore | 64 Colleges |
| Gujarat | 64 Colleges |
| Haryana | 62 Colleges |
| Pune | 58 Colleges |
| Mumbai (All) | 57 Colleges |
| West Bengal | 56 Colleges |
| Kerala | 52 Colleges |
| Tamil Nadu - Other | 44 Colleges |
Specializations
Artificial Intelligence & Machine Learning is offered in varied specializations such as Mechanical Engineering, Computer Science Engineering, Civil Engineering, Electrical Engineering, Electronics Engineering, Electronics & Communication Engineering, Information Technology, Automobile Engineering, Mechatronics Engineering, Production Engineering, Telecommunication Engineering, Agriculture & Farm Engineering, Artificial Intelligence & Machine Learning, Big Data & Analytics, Chemical Engineering, Construction
There are 2 Artificial Intelligence & Machine Learning colleges in Satara. Of the total number of colleges offering Artificial Intelligence & Machine Learning, split of colleges by ownership is private: 2;
Location wise
Satara is home to 2 Artificial Intelligence & Machine Learning. Below is the list of prominent locations housing these colleges:
| Location Details | Colleges |
|---|---|
| Tamil Nadu | 372 Colleges |
| Maharashtra | 235 Colleges |
| Andhra Pradesh | 192 Colleges |
| Karnataka | 179 Colleges |
| Uttar Pradesh | 166 Colleges |
| Delhi/NCR | 152 Colleges |
| Telangana | 138 Colleges |
| Bangalore | 92 Colleges |
| Chennai | 86 Colleges |
| Madhya Pradesh | 86 Colleges |
| Hyderabad | 75 Colleges |
| Rajasthan | 67 Colleges |
| Coimbatore | 64 Colleges |
| Gujarat | 64 Colleges |
| Haryana | 62 Colleges |
| Pune | 58 Colleges |
| Mumbai (All) | 57 Colleges |
| West Bengal | 56 Colleges |
| Kerala | 52 Colleges |
| Tamil Nadu - Other | 44 Colleges |
Specializations
Artificial Intelligence & Machine Learning is offered in varied specializations such as Mechanical Engineering, Computer Science Engineering, Civil Engineering, Electrical Engineering, Electronics Engineering, Electronics & Communication Engineering, Information Technology, Automobile Engineering, Mechatronics Engineering, Production Engineering, Telecommunication Engineering, Agriculture & Farm Engineering, Artificial Intelligence & Machine Learning, Big Data & Analytics, Chemical Engineering, Construction Engineering, Food Technology, Instrumentation Technology, Power Engineering, Structural Engineering . Below is the break up of number of colleges offering each Artificial Intelligence & Machine Learning specialization:
| Specialization Details | Colleges |
|---|---|
| Mechanical Engineering | 25 Colleges |
| Computer Science Engineering | 24 Colleges |
| Civil Engineering | 22 Colleges |
| Electrical Engineering | 17 Colleges |
| Electronics Engineering | 13 Colleges |
| Electronics & Communication Engineering | 8 Colleges |
| Information Technology | 7 Colleges |
| Automobile Engineering | 6 Colleges |
| Mechatronics Engineering | 3 Colleges |
| Production Engineering | 3 Colleges |
| Telecommunication Engineering | 3 Colleges |
| Agriculture & Farm Engineering | 2 Colleges |
| Artificial Intelligence & Machine Learning | 2 Colleges |
| Big Data & Analytics | 1 Colleges |
| Chemical Engineering | 1 Colleges |
| Construction Engineering | 1 Colleges |
| Food Technology | 1 Colleges |
| Instrumentation Technology | 1 Colleges |
| Power Engineering | 1 Colleges |
| Structural Engineering | 1 Colleges |
Entrance Exams
Admission to Artificial Intelligence & Machine Learning is based on valid score in national, state or university-level entrance exams. Below are the entrance exams accepted for Artificial Intelligence & Machine Learning, along with number of colleges:
| Exam Details | Colleges |
|---|---|
| JEE Main | 2 Colleges |
| MHT CET | 2 Colleges |
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AI & ML colleges in Satara
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Commonly asked questions On AI & ML colleges in Satara
| Courses | Eligibility |
|---|---|
| B.E. / B.Tech | Candidate who have passed Diploma in Engineering & Technology & obtained at least 45% marks (40% marks for Backward class, EWS & PWD candidates belonging to Maharashtra State only) can also apply. |
| UG Diploma | Candidate passed 10th class/SSC examination or its equivalent, with at least 35% aggregate marks from any recognised institute/board are eligible to apply. |
| After 10th Diploma | Candidate passed 10th class/SSC examination or its equivalent, with at least 35% aggregate marks from any recognised institute/board are eligible to apply. |
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Artificial Intelligence & Machine Learning Applications open. Apply Now
Commonly asked questions On AI & ML colleges in Satara
For the female-only (including Supernumerary) category, the Round 1 closing rank of the IIT Bombay cutoff 2026 ranged from 395 to 14289 for BTech admission. Candidates can refer to the table below to view the branch-wise cutoff 2026 for the female-only category.
| Branch | Round 1 Cutoff 2026 |
|---|---|
| Computer Science and Engineering (4 Years, Bachelor of Technology) | 395 |
| Electrical Engineering (4 Years, Bachelor of Technology) | 1600 |
| Electrical Engineering (5 Years, Bachelor and Master of Technology (Dual Degree)) | 2693 |
| Industrial Engineering and Operations Research (4 Years, Bachelor of Technology) | 3189 |
| BS in Mathematics (4 Years, Bachelor of Science) | 3727 |
| Engineering Physics (4 Years, Bachelor of Technology) | 4090 |
| Mechanical Engineering (4 Years, Bachelor of Technology) | 4903 |
| Chemical Engineering (4 Years, Bachelor of Technology) | 6336 |
| Aerospace Engineering (4 Years, Bachelor of Technology) | 6885 |
| Energy Engineering (4 Years, Bachelor of Technology) | 6945 |
| Metallurgical Engineering and Materials Science (4 Years, Bachelor of Technology) | 8335 |
| Civil Engineering (4 Years, Bachelor of Technology) | 8730 |
| Environmental Science and Engineering (4 Years, Bachelor of Technology) | 9532 |
| Applied Geophysics (4 Years, Bachelor of Science) | 14289 |
The eligibility criteria includes minimum qualification and aggregate required to apply for any of the UG or PG courses. The basic eligibility is Class 12 for UG and graduation for PG programmes. Below is eligibility requirement for SIT Pune courses:
| Course Name | Common Eligibility |
|---|---|
| BTech | Class 12 in relevant subjects with at least 45% aggregate (40% aggregate in case of candidates belonging to reserved category) |
| MTech | Bachelor's degree in relevant subjects with at least 50% aggregate (45% aggregate for SC/ ST) |
| PhD | Master's degree in relevant subject with at least 55% aggregate (50% aggregate for SC/ ST) |
COEP MAH CET Cutoff 2026 is yet to be released. 2025 cutoff was released for admission to M.B.A. in Business Analytics course and Master of Business Administration (MBA) programme. Refer to the table below to view the qualifying percentile for MAH CET Cutoff 2025.
| Course Name | Section Name | COEP Pune MAH CET Cutoff 2025 |
|---|---|---|
| MBA in Business Analytics | Overall | 99.73 |
| Master of Business Administration (MBA) | Overall | 99.73 |
Aspirants must pass Class 12 with at least 50% aggregate to apply for UG courses. Candidates need to complete graduation with at least 50% or 55% aggregate for most of the PG programmes. The minimum aggregate required for MBA is 60% in Graduation, Class 10 and Class 12.
As per the MIT-WPU, Pune course admission process, the university conducts MIT-WPU, Pune CET for admission to the UG and PG courses particularly. Apart from this, MIT-WPU, Pune admission is also done based on valid scores of national-level entrance exams such as JEE Main, MHT CET, PERA CET, CAT, MAT, XAT, CMAT, GMAT and NEET-UG, among others for admission to BTech, MBA and BPharm courses. The common selection criteria for MIT-WPU, Pune admission comprise a Personal Interview (PI) round that evaluates the capabilities of the applicants.
The B.Tech in Computer Engineering at VIIT Pune is among the best courses and encourages students, as it has high demand evident from robust placement records13and Recruitment of International companies. It is unique due to the following reasons :
Placements: Placed in companies like Infosys, TCS, Capgemini and Amazon
Course Curriculum: The course has a broad, full-fledged syllabus which includes the most recent technologies and trends in computer Science as well.
Experienced faculty: The department is supported by enthusiastic and highly-skilled teaching faculty.
Labs and other Facilities: VIIT Pune has good infrastructure that provides best labs so as to provide high level practical training.
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