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Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Fees
₹3,50,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The admission process for the Artificial Intelligence and Machine Learning program at Kerala University of Digital Sciences Innovation and Technology (KUDSIT) is highly competitive and designed to identify candidates with strong aptitude in mathematics, science, and problem-solving. The process is conducted through a centralized counseling system managed by the university.
Candidates must first register online on the official KUDSIT portal during the designated application window. After registration, they need to fill out the detailed application form with personal details, academic history, and preferred courses. The application fee can be paid through net banking, credit/debit cards, or UPI.
Once the application is submitted, candidates will receive an acknowledgment receipt containing their application number. It is essential to keep this document safe as it will be required for further steps in the admission process.
After qualifying in the entrance examination, candidates must submit physical copies of all relevant documents at the designated venue. Required documents typically include:
All documents must be attested by authorized officials and submitted in original along with photocopies.
Admission is primarily based on performance in the Joint Entrance Examination (JEE) Advanced or National Eligibility cum Entrance Test (NEET). Candidates must meet the minimum qualifying criteria set by the university for each category.
Seats are allocated based on merit rank, category-wise reservations, and availability. The allocation process follows a centralized counseling system where candidates can choose their preferred seats from available options.
After seat allotment, candidates must confirm their admission by paying the required fees within the stipulated deadline. Failure to do so results in automatic cancellation of the allocated seat.
| Category | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combinations | Age Limit |
|---|---|---|---|---|
| General | JEE Advanced/NEET | 75% | Physics, Chemistry, Mathematics | 20 years (as of 1st July) |
| EWS | JEE Advanced/NEET | 70% | Physics, Chemistry, Mathematics | |
| OBC-NCL | JEE Advanced/NEET | 65% | Physics, Chemistry, Mathematics | 20 years (as of 1st July) |
| SC | JEE Advanced/NEET | 60% | Physics, Chemistry, Mathematics | 20 years (as of 1st July) |
| ST | JEE Advanced/NEET | 50% | Physics, Chemistry, Mathematics | 20 years (as of 1st July) |
| PwD | JEE Advanced/NEET | 45% (with relaxation in category) | Physics, Chemistry, Mathematics | 20 years (as of 1st July) |
Additional relaxations may apply for candidates from certain states or those belonging to specific socio-economic backgrounds.
| Year | General Rank | EWS Rank | OBC-NCL Rank | SC Rank | ST Rank | PwD Rank |
|---|---|---|---|---|---|---|
| 2023 | 1250 | 1500 | 1800 | 2200 | 2600 | 3200 |
| 2022 | 1400 | 1650 | 1900 | 2300 | 2700 | 3300 |
| 2021 | 1550 | 1800 | 2100 | 2400 | 2800 | 3400 |
| 2020 | 1650 | 1900 | 2200 | 2500 | 2900 | 3500 |
| 2019 | 1700 | 1950 | 2250 | 2550 | 2950 | 3600 |
| 2018 | 1800 | 2000 | 2300 | 2600 | 3000 | 3700 |
| 2017 | 1850 | 2050 | 2350 | 2650 | 3050 | 3750 |
The data shows a gradual decrease in rank cutoffs over the years, indicating increased competition and higher academic standards.
To prepare effectively for admission to KUDSIT's AI and ML program:
Counseling Tips: