Admission Process

The admission process for the Mobile Application Development program at the SCHOOL OF COMPUTER SCIENCE AND IT follows a multi-stage procedure designed to ensure merit-based selection and fairness:

1. Online Registration: Interested candidates must register online via the official university portal between June and July of each year.
2. Document Upload: Applicants are required to upload scanned copies of academic transcripts, identification documents, and other relevant certificates.
3. Application Form Submission: Candidates fill out the detailed application form with personal information, academic history, and preferences for admission categories.
4. Exam Registration: For those applying through JEE Advanced or JEE Main, registration is handled directly by the National Testing Agency (NTA).
5. Examination Conduct: The qualifying examination is conducted in two stages: JEE Main followed by JEE Advanced for top performers.
6. Merit List Preparation: Based on performance and category-wise reservations, a merit list is prepared for each admission round.
7. Counseling Session: Selected candidates attend online or physical counseling sessions where they choose their preferred courses and confirm seat allocation.
8. Seat Acceptance: Candidates must accept the allocated seat within the specified timeframe to secure enrollment.

Eligibility Criteria

Admission Statistics (Last 7 Years)

Aspirant Preparation Strategy

To maximize chances of admission, aspirants should focus on:

• Consistent practice with mock tests and previous year papers.
• Time management during preparation to cover all subjects comprehensively.
• Seeking guidance from mentors or coaching institutes if needed.
• Understanding the exam pattern and syllabus thoroughly.
• Regular revision of core concepts in Physics, Chemistry, and Mathematics.

For counseling, candidates are advised to:

1. Research course preferences carefully before filling choices.
2. Understand the rank trends and cutoffs from past years.
3. Use seat allocation algorithms wisely based on risk tolerance.
4. Prepare for both online and physical sessions if required.