Lok Jagruti University Ahmedabad Answered Questions

To get a seat in L J Institute of Computer Applications for Master of Computer Applications (MCA), follow these steps:
1. Check the eligibility criteria: Ensure you meet the eligibility criteria for the MCA program, which typically includes a bachelor's degree in computer applications or a related field.
2. Apply for admission: Submit your application to L J Institute of Computer Applications, providing all required documents and information.
3. Appear for entrance exams: Prepare for and appear for entrance exams like CMAT, GMAT, or CAT, as required by the institute.
4. Attend counseling: If shortlisted, attend counseling sessions to confirm your admission.
5. Complete the admission process: Once selected, complete the admission process by paying fees and submitting required documents.
Note: The admission process may vary, and it's recommended to check the official website of L J Institute of Computer Applications or contact the institute directly for the most up-to-date information.

The admission criteria for B.Tech. in Computer Science and Engineering at L.J. Institute of Engineering and Technology (L.J.I.E.T) is that the candidates shall have passed the HSC examination with a minimum of 45% (40% for SC/ST/SEBC/EWS) from the subjects prescribed by AICTE with PCM/PMCo/PCCo/PCB as per major discipline requirement.

The college is strict when it comes to the eligibility requirements of BCA at L J Institute of Computer Applications, with a requirement of 10+2 or 12th standard in any stream having Mathematics, Statistics or Accountancy as the compulsory subject, with minimum of 45% marks for general category and 40% marks for reserved category.

The L.J. Institute of Management Studies is moderately strict when it comes to the eligibility requirements of MBA. The institute has an intake of 300 students each year and the admission to the two-year MBA programme is through a competitive entrance examination, conducted by the CMAT-AICTE every year. The eligibility criteria include 60% marks in graduation, with graduation or HSC from a recognised school/college/university in Gujarat for Gujarat candidates, and 60% marks in graduation, with graduation and HSC from a recognised school/college/university not from Gujarat for out-state candidates.

The eligibility criteria to seek direct admission for the B.Sc. (Chemistry, Biotech, Microbiology) course at LJ Institute of Applied Science are:
For Chemistry: 12th Passed with Group - A, B or AB
For Microbiology: 12th Passed with either Group - B or AB
For Biotechnology: 12th Passed with either Group - B or AB

The eligibility criteria for B.E. in Computer Engineering at L.J. Institute of Engineering and Technology (L.J.I.E.T) differ for reserved category candidates. The candidates from reserved categories (SC/ST/SEBC/EWS) require a minimum of 40% in the HSC examination with PCM/PMCo/PCCo/PCB subjects, whereas the general category candidates need a minimum of 45%.

Eligibility Criteria for B.Sc. (Chemistry, Biotech, Microbiology) at LJ Institute of Applied Science:
Chemistry: 12th Passed with Group - A, B or AB
Microbiology: 12th Passed with either Group - B or AB
Biotechnology: 12th Passed with either Group - B or AB

The eligibility criteria to seek direct admission for the BTech in CSE course at L.J. Institute of Engineering and Technology (L.J.I.E.T) is that the candidates shall have passed the HSC examination with a minimum of 45% (40% for SC/ST/SEBC/EWS) from the subjects prescribed by AICTE with PCM/PMCo/PCCo/PCB as per major discipline requirement.

To get a seat in L.J. Institute of Engineering and Technology (L.J.I.E.T) for B.E. in Artificial Intelligence and Machine Learning, candidates must pass the HSC examination with a minimum of 45% (40% for SC/ST/SEBC/EWS) from the subjects prescribed by AICTE with PCM/PMCo/PCCo/PCB. The programme provides advanced inputs like deep learning, computer vision, expert systems, and neural networks, and its main goal is to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics, and visualization technologies.