GLA University Mathura Answered Questions

The eligibility criteria for admission to GLA University Greater Noida for BTech in CSE (AI & ML) are not explicitly stated in the provided output. However, based on general admission criteria for B.Tech programs, it typically includes:
10+2 with a minimum of 60% marks in Physics, Chemistry, and Mathematics.
Valid score in entrance exams like JEE Main or other state-level exams.
Meeting the cut-off criteria set by the university.
For the most accurate and up-to-date information, it is recommended to check the official website of GLA University Greater Noida or contact their admissions office directly.

To get a seat in GLA University Greater Noida for B.Tech. in Computer Science Engineering, follow these steps:1. Check the eligibility criteria: The candidate should have passed 10+2 with minimum 50% marks in Physics, Chemistry, and Mathematics.2. Apply online: Fill the online application form on the official website of GLA University.3. Appear for entrance exam: GLA University accepts scores of JEE Main, UPSEE, and GLAET (GLA Entrance Test).4. Counselling: After the declaration of results, attend the counselling session to secure your seat.5. Document verification: Verify your documents and pay the fees to confirm your admission.

GLA University in Mathura offers a comprehensive Bachelor of Computer Applications (BCA) programme that equips students with theoretical knowledge and practical skills in computer science. The programme has a strong placement record, with companies like Wipro, TCS, Capgemini, and Microsoft recruiting students. The university provides a well-maintained department of computer Science with advanced resources, and the faculty is concerned with providing well-researched curriculum and standard parameters. The students also benefit from workshops, seminars, personality development classes, technical sessions, and extra classes. The average package for BCA students is around 5-7 LPA, and the highest package recorded is 22 LPA.
Key highlights of the BCA programme at GLA University include:
- Strong placement record with top companies
- Comprehensive curriculum with practical skills
- Well-maintained department with advanced resources
- Faculty concerned with providing well-researched curriculum
- Average package of 5-7 LPA and the highest package of 22 LPA
- Opportunities for internships and hands-on experience
- Active placement cell with resume building workshops, mock interviews, and communication skills training.

Admission to the B.Tech. in Computer Science Engineering course at GLA University, Greater Noida is based on the candidate's performance in the entrance exam (JEE Main) and their score in the 12th standard (or equivalent) in the subjects of Physics, Chemistry, and Mathematics.

B.Tech. (Hons.) in Computer Science and Engineering at GLA University Mathura is chosen for its dynamic nature, high placement records, industry exposure, practical knowledge, and modern facilities. The university has a strong reputation, with an A+ grade from NAAC and 12B status from UGC. The course curriculum focuses on the foundation of computing and state-of-the-art development of computing solutions, providing both theoretical and practical knowledge. The university has a record of 75% placements, with top-notch MNCs recruiting students. The faculty is helpful, supportive, and humble, with a well-planned course syllabus. Overall, GLA University is considered a good option for B.Tech in CSE due to its placements, faculty, and course curriculum.

To get admission to BTech in CSE (Artificial Intelligence and Machine Learning) at GLA University Greater Noida,
1. Visit the official website of GLA University.
2. Check the eligibility criteria and admission process.
3. Fill out the application form and submit it before the deadline (15th Aug 2025).
4. The programme is an 8-semester course with expert faculty, industry-ready skills, and the latest technology.
5. The highest CTC is 55 LPA, with a student rating of 4.8/5 and 500+ top recruiters.
6. The programme covers basics of programming languages, machine learning algorithms, data analysis, and intelligent systems.
7. The fee structure is as follows:- 1st Year Fees: ₹2,35,000/-- 2nd Year Fees: ₹2,43,000/-- 3rd Year Fees: ₹2,51,000/-- 4th Year Fees: (Not specified)