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Pune, Maharashtra, India

Duration

4 Years

Data Science

Aditya University Kakinada
Duration
4 Years
Data Science UG OFFLINE

Duration

4 Years

Data Science

Aditya University Kakinada
Duration
Apply

Fees

₹6,50,000

Placement

94.5%

Avg Package

₹6,50,000

Highest Package

₹15,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Data Science
UG
OFFLINE

Fees

₹6,50,000

Placement

94.5%

Avg Package

₹6,50,000

Highest Package

₹15,00,000

Seats

120

Students

320

ApplyCollege

Seats

120

Students

320

Admissions

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

CategoryAge LimitQualifying ExamMinimum Percentage in 12th GradeSubject Combination
GeneralBelow 25 years as of July 1st, 2025JEE Advanced / JEE Main75%Physics, Chemistry, Mathematics
EWSBelow 25 years as of July 1st, 2025JEE Advanced / JEE Main70%Physics, Chemistry, Mathematics
OBC-NCLBelow 25 years as of July 1st, 2025JEE Advanced / JEE Main65%Physics, Chemistry, Mathematics
SCBelow 25 years as of July 1st, 2025JEE Advanced / JEE Main60%Physics, Chemistry, Mathematics
STBelow 25 years as of July 1st, 2025JEE Advanced / JEE Main60%Physics, Chemistry, Mathematics
PwD (General)Below 25 years as of July 1st, 2025JEE Advanced / JEE Main45%Physics, Chemistry, Mathematics
PwD (SC/ST)Below 25 years as of July 1st, 2025JEE Advanced / JEE Main40%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:

YearGeneralEWSOBC-NCLSCSTPwD (General)PwD (SC/ST)
2023156782234519876324564321087657654
2022189012456721098345674567898768765
20212123427890234563678947890109879876
202023456301232567838901501231234510987
201925678323452789041234523451456712345
201827890345672901243456545671678914567
201730123367893123445678567891890116789

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.