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Fees
₹2,50,000
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Fees
₹2,50,000
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹12,00,000
Seats
180
Students
300
Seats
180
Students
300
The admission to the Data Analytics program at Kerala University of Digital Sciences Innovation and Technology follows a transparent and merit-based process. Applicants can apply through JEE Advanced or other relevant national-level examinations. The selection process ensures fairness and equal opportunity for all candidates regardless of their background.
Applicants must complete the online application form, upload necessary documents, pay the application fee, and appear for the qualifying examination. After the results are declared, candidates are shortlisted based on their performance and meet the eligibility criteria. Final seat allocation is done through a centralized counseling process conducted by the university.
| Category | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combination | Age Limit |
|---|---|---|---|---|
| General | JEE Advanced or JEE Main | 75% | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| EWS | JEE Advanced or JEE Main | 70% | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| OBC-NCL | JEE Advanced or JEE Main | 65% | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| SC | JEE Advanced or JEE Main | 60% | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| ST | JEE Advanced or JEE Main | 55% | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| PwD | JEE Advanced or JEE Main | 45% (with relaxation in some cases) | Mathematics, Physics, Chemistry | 20 years (as of July 1st) |
| Year | Opening Rank (General) | Closing Rank (General) | Opening Rank (OBC-NCL) | Closing Rank (OBC-NCL) | Opening Rank (SC) | Closing Rank (SC) |
|---|---|---|---|---|---|---|
| 2023 | 1567 | 8900 | 3245 | 12345 | 5432 | 17890 |
| 2022 | 1456 | 9800 | 3120 | 11500 | 5210 | 16780 |
| 2021 | 1345 | 8765 | 2987 | 10800 | 4890 | 15670 |
| 2020 | 1234 | 7654 | 2765 | 9800 | 4567 | 14560 |
| 2019 | 1123 | 6543 | 2543 | 8700 | 4234 | 13450 |
Preparing for the Data Analytics program requires a strong foundation in mathematics and science. Candidates should focus on mastering core subjects like calculus, algebra, physics, and chemistry. Regular practice of numerical problems and conceptual clarity are essential for success in competitive exams.
During the counseling process, applicants must carefully choose their preferred seats based on past trends and personal preferences. It is advisable to prioritize higher-ranked institutions but also consider the proximity of the campus to one's home city. The choice filling strategy should be based on a combination of factors including cutoff ranks, availability of seats, and future career prospects.
Additionally, candidates should stay updated with current affairs and technological advancements in the field of data analytics. Participating in online mock tests, joining coaching institutes, and attending workshops can significantly enhance one's preparation. The university also offers guidance sessions for aspiring students to clarify doubts and provide insights into the program structure and opportunities.
