AI & ML colleges in Sikar
There are 3 Artificial Intelligence & Machine Learning colleges in Sikar. Of the total number of colleges offering Artificial Intelligence & Machine Learning, split of colleges by ownership is private: 3;
Location wise
Sikar is home to 3 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, Electrical Engineering, Civil Engineering, Computer Science Engineering, Electronics Engineering, Electronics & Communication Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Power Engineering, Agriculture & Farm Engineering, Automobile Engineering, Biomedical Engineering, Biotechnology Engineering, Data Analytics, Forensic Science, Information Technology, Mechatronics Enginee
There are 3 Artificial Intelligence & Machine Learning colleges in Sikar. Of the total number of colleges offering Artificial Intelligence & Machine Learning, split of colleges by ownership is private: 3;
Location wise
Sikar is home to 3 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, Electrical Engineering, Civil Engineering, Computer Science Engineering, Electronics Engineering, Electronics & Communication Engineering, Artificial Intelligence & Machine Learning, Cyber Security, Power Engineering, Agriculture & Farm Engineering, Automobile Engineering, Biomedical Engineering, Biotechnology Engineering, Data Analytics, Forensic Science, Information Technology, Mechatronics Engineering, Naval Architecture, Nuclear Engineering, Nuclear Medicine Technology . Below is the break up of number of colleges offering each Artificial Intelligence & Machine Learning specialization:
| Specialization Details | Colleges |
|---|---|
| Mechanical Engineering | 16 Colleges |
| Electrical Engineering | 15 Colleges |
| Civil Engineering | 14 Colleges |
| Computer Science Engineering | 10 Colleges |
| Electronics Engineering | 8 Colleges |
| Electronics & Communication Engineering | 3 Colleges |
| Artificial Intelligence & Machine Learning | 3 Colleges |
| Cyber Security | 2 Colleges |
| Power Engineering | 2 Colleges |
| Agriculture & Farm Engineering | 1 Colleges |
| Automobile Engineering | 1 Colleges |
| Biomedical Engineering | 1 Colleges |
| Biotechnology Engineering | 1 Colleges |
| Data Analytics | 1 Colleges |
| Forensic Science | 1 Colleges |
| Information Technology | 1 Colleges |
| Mechatronics Engineering | 1 Colleges |
| Naval Architecture | 1 Colleges |
| Nuclear Engineering | 1 Colleges |
| Nuclear Medicine Technology | 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 |
| REAP | 1 Colleges |
| CUET | 1 Colleges |
| MUSAT | 1 Colleges |
| CBSE 12th | 1 Colleges |
| ISC | 1 Colleges |
| RBSE 12th | 1 Colleges |
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AI & ML colleges in Sikar
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Commonly asked questions On AI & ML colleges in Sikar
No, the admissions to various courses at Mody University of Science and Technology is not difficult. All a student has to do is clear the entrance exams with valid scores. The accepted entrance exams are CUET. Candidates willing to get admission through CUET must first register for the CUET exam. Then appear for the CUET exam. Then choose the course and the college. Then pay the admission fee for the final admission.
Shekhawati Group of Institutions has below criteria for taking admissions to it's various courses:
| Courses | Eligibility |
|---|---|
| MBA/PGDM | Candidate must have passed Bachelor degree of minimum 3 years duration. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category such as SC, ST and Non creamy layer OBC and Non creamy layer MBC, PWD category only for relaxation in minimum academic qualification) in the qualifying examination. |
| M.Sc. | The candidate should have passed Graduation with mentioned Marks in concerned Subject. |
| M.A. | Students who have passed 10+2+3 (Any Stream) with mentioned aggregate at UG level or 55% at UG level in the particular subject, in which student is seeking admission at PG level |
| M.Com | Candidate with 55% at UG level in the particular subject, in which student is seeking admission at PG level is also eligible to apply. |
| B.A. | Students from outside of Rajasthan must have 60% at Sr Sec Examination from a recognized Board are eligible for admission in BA |
| BCA | Candidate must have passed 10+2 or equivalent examination from a recognized school/board. |
| BBA | Candidate must have passed 10+2 or equivalent examination from a recognized school/board. |
| B.Com | Students from outside of Rajasthan must have 60% at Sr Sec Examination from a recognized Board are eligible for admission in B.Com |
| B.Sc. | The maximum age limit is 25 years as on 01.01.2023 |
| UG Diploma | Students must have passed Senior Secondary with mandatory Subject OR as per Coordinator AHDP, RAJUVAS Bikaner. |
| B.Ed | Candidate must have passed graduation from a recognized university. |
| BNYS | Candidate must have passed 10+2 from a recognized board. |
| B.M.C. | Candidate must have passed 10+2 or equivalent examination from a recognized school/board. |
Yes, candidates fulfilling the eligibility requirements can fill out the application form online. Aspirants have to pay an application fee to register for a course. Below are the steps to apply for admission at Sobhasaria Group of Institutions:
Step 1: Visit the official website of Sobhasaria Group of Institutions.
Step 2: Click on 'Admission Process' under 'Admission' tab on the Home page.
Step 3: Click on 'Apply Now' and register with the basic details.
Step 4: Fill out the application form and upload the documents.
Step 5: Pay the application fee to submit the form.
Number of students registered and placed during BTech and MTech placements in past three years is mentioned below:
Particulars | BTech Placement Statistics 2023 | BTech Placement Statistics 2024 | BTech Placement Statistics 2025 |
|---|---|---|---|
Students Registered | 273 | 342 | 356 |
Students Placed | 255 | 318 | 303 |
Particulars | MTech Placement Statistics 2023 | MTech Placement Statistics 2024 | MTech Placement Statistics 2025 |
Students Registered | 113 | 113 | 136 |
Students Placed | 89 | 96 | 99 |
MNIT Jaipur admission is entrance-based for all the programmes. The final selection is done on the basis of scores of entrance exams, followed by group discussion and personal interview depending the course. Check the table below to know the selection requirement of MNIT courses:
| Course Name | Selection Criteria |
|---|---|
| BTech | JEE Main + JoSAA Counselling/ CSAB Counselling |
| BArch | JEE Main Paper 2 + JoSAA/ CSAB Counselling |
| MBA | CAT/ XAT/ CMAT/ MAT + GD + PI |
| MTech | GATE + CCMT Counselling |
| MSc | IIT JAM + CCMN Counselling |
| MPlan | GATE + CCMT Counselling |
| PhD | MNIT Jaipur PhD Entrance Test + PI |
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Artificial Intelligence & Machine Learning Applications open. Apply Now
Commonly asked questions On AI & ML colleges in Sikar
Yes, Manipal University, Jaipur has international rankings. A few of the important Manipal University Jaipur rankings are mentioned below:
| Ranking Body | Category |
|---|---|
| QS Asian University Rankings - Southern Asia 2026 | 195 |
| QS Asian University Rankings 2026 | 658 |
| QS Sustainability Ranking 2026 | 1201-1250 |
There are different courses offered by Banasthali Vidyapith at UG and PG level such as BA, MA, BSW, MSW, BEd, MEd, BSc, MSc, BPharma, MPharma, MTech, BDes, BArch, BTech, BCom, BBA, MCom, MBA, BCA, MCA, LLB, LLM and PhD. Candidates should check eligibility before applying to any course.
Amity University Jaipur is famous for its eco-friendly 152-acre campus and NAAC 'A+' accredited academic framework. It is highly sought after for its flagship programs in Engineering, Design, and Management.
As per the 2025 Amity Rajasthan annual report, the highest and average package offered to the UG students was INR 22.21 LPA and INR 4.76 LPA, respectively.
Yes, LNMIIT Jaipur offers direct admission to BTech courses to the toppers of the board in Class 12. The candidates should be rank 2 or above from their respective boards and obtain a minimum of 60% aggregate marks in Class 12. Admissible students may apply directly on the LNMIIT website. Admission is offered based on merit without the use of JEE Main scores.
Yes, Jaipur Engineering College & Research Centre has received a decent 'B+' grade NAAC accreditation with a CGPA of 2.64 on a 4 point scale. This rating depends on many different categories with its top performing metrics being:
- Teaching-learning & Evaluation
- Institutional Values & Best Practices
- Student Support & Progression
