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Fees
₹30,00,000
Placement
93.0%
Avg Package
₹5,20,000
Highest Package
₹8,50,000
Fees
₹30,00,000
Placement
93.0%
Avg Package
₹5,20,000
Highest Package
₹8,50,000
Seats
100
Students
1,200
Seats
100
Students
1,200
The admission process for the Data Science program at Plaksha University Mohali is designed to identify promising candidates with strong analytical and problem-solving abilities. The process includes multiple stages, starting from application submission and culminating in seat acceptance.
Candidates must first register online via the university’s official portal during the designated window. The registration form requires personal details, academic history, qualifying examination results, and preferred program choices. All documents must be uploaded in PDF format, adhering to specified size limits.
After successful registration, applicants receive a unique application number for tracking purposes. It is important to keep this number safe as it will be needed throughout the admission cycle. The form must be submitted within the deadline, and late submissions are not accepted under any circumstances.
The university sets specific eligibility criteria for each program based on academic performance and subject combinations. For Data Science, candidates must meet the following requirements:
| Criteria | Details |
|---|---|
| Age Limit | Must not exceed 20 years as of December 31st of the current year (with relaxation for reserved categories) |
| Qualifying Exam | Passed 12th Grade or equivalent examination recognized by the Central Board of Secondary Education (CBSE) or any other recognized board |
| Minimum Percentage in 12th Grade | 60% aggregate marks (with relaxation for reserved categories) |
| Subject Combinations | Science stream with Mathematics, Physics, and Chemistry as core subjects. Candidates with Computer Science or Informatics Practices are preferred. |
The university follows a merit-based system for seat allocation, considering various categories such as General, EWS, OBC-NCL, SC, ST, and PwD. Each category has specific rules regarding eligibility and relaxation in qualifying percentages or rank requirements.
Below is a table showing the opening and closing ranks for the last seven years:
| Year | General | EWS | OBC-NCL | SC | ST | PwD (General) | PwD (OBC-NCL) |
|---|---|---|---|---|---|---|---|
| 2019 | 15600 | 14800 | 13200 | 7800 | 3200 | 2200 | 1800 |
| 2020 | 14200 | 13500 | 12000 | 7200 | 2900 | 2000 | 1600 |
| 2021 | 13800 | 13000 | 11500 | 6900 | 2700 | 1900 | 1500 |
| 2022 | 13000 | 12200 | 10800 | 6500 | 2500 | 1800 | 1400 |
| 2023 | 12500 | 11700 | 10200 | 6100 | 2300 | 1700 | 1300 |
| 2024 | 12000 | 11200 | 9800 | 5800 | 2100 | 1600 | 1200 |
| 2025 | 11500 | 10800 | 9400 | 5500 | 2000 | 1500 | 1100 |
To increase chances of admission, aspirants should focus on strengthening their core subjects—Mathematics, Physics, and Chemistry. Regular practice with previous year question papers helps familiarize candidates with exam patterns and time management.
It is crucial to understand the syllabus thoroughly and identify weak areas early in preparation. Joining coaching centers or online classes can provide structured guidance and peer support. Utilizing mock tests and performance analytics aids in refining strategies.
During counseling, candidates must carefully select their preferences based on rank predictions and past trends. Using a systematic approach to filling choices—starting with preferred institutions followed by safety options—can significantly improve selection probability.
