Admission Process Overview
The admission process for the Data Science program at Aditya University Kakinada follows a multi-stage approach that ensures fair and transparent selection. Prospective students can apply through either JEE Advanced or JEE Main, depending on their eligibility and performance.
The first stage involves online registration where candidates must fill out an application form with personal details, academic history, and preferred categories. Once the form is submitted, applicants are required to pay the application fee using valid payment methods accepted by the university portal.
After successful submission, candidates receive a unique application number which serves as proof of registration. The next phase includes document verification, where applicants must submit scanned copies of their identity documents, academic certificates, and category certificates if applicable.
The third stage involves the actual examination process. For those applying through JEE Advanced, candidates take the exam in two parts: Paper 1 and Paper 2. Those opting for JEE Main will appear in a single paper consisting of Physics, Chemistry, and Mathematics sections. The results are announced after thorough evaluation by the respective conducting bodies.
Based on the performance in these exams, a merit list is prepared for each category, followed by the allocation of seats based on available vacancies and preferences expressed by candidates during counseling sessions.
Eligibility Criteria
Category | Age Limit | Qualifying Exam | Minimum Percentage in 12th Grade | Subject Combination |
---|---|---|---|---|
General | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 75% | Physics, Chemistry, Mathematics |
EWS | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 70% | Physics, Chemistry, Mathematics |
OBC-NCL | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 65% | Physics, Chemistry, Mathematics |
SC | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 60% | Physics, Chemistry, Mathematics |
ST | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 60% | Physics, Chemistry, Mathematics |
PwD (General) | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 45% | Physics, Chemistry, Mathematics |
PwD (SC/ST) | Below 25 years as of July 1st, 2025 | JEE Advanced / JEE Main | 40% | Physics, Chemistry, Mathematics |
Rank Analysis and Cutoff Scores
Over the past seven years, the Data Science program at Aditya University Kakinada has seen varying cutoff scores based on performance in JEE Advanced and JEE Main. Below is a summarized view of opening and closing ranks for different categories:
Year | General | EWS | OBC-NCL | SC | ST | PwD (General) | PwD (SC/ST) |
---|---|---|---|---|---|---|---|
2023 | 15678 | 22345 | 19876 | 32456 | 43210 | 8765 | 7654 |
2022 | 18901 | 24567 | 21098 | 34567 | 45678 | 9876 | 8765 |
2021 | 21234 | 27890 | 23456 | 36789 | 47890 | 10987 | 9876 |
2020 | 23456 | 30123 | 25678 | 38901 | 50123 | 12345 | 10987 |
2019 | 25678 | 32345 | 27890 | 41234 | 52345 | 14567 | 12345 |
2018 | 27890 | 34567 | 29012 | 43456 | 54567 | 16789 | 14567 |
2017 | 30123 | 36789 | 31234 | 45678 | 56789 | 18901 | 16789 |
Strategic Advice for Aspirants
For students aiming to secure admission to the Data Science program at Aditya University Kakinada, strategic preparation is crucial. Candidates should start by thoroughly understanding the syllabus and marking scheme of JEE Advanced or JEE Main, whichever they plan to appear in.
Regular practice tests and mock exams are recommended to assess progress and identify weak areas. Time management during exams is equally important; candidates should allocate time appropriately across sections based on their strengths.
During the counseling process, aspirants must carefully evaluate their options and make informed choices regarding colleges and branches. Using a choice filling strategy that considers past trends, current cutoffs, and personal preferences can significantly improve chances of securing admission to desired programs.
Additionally, maintaining consistent study schedules and staying updated with current affairs related to technology and data science fields will enhance overall performance and competitiveness in the selection process.