B.Tech. in Computer Science and Engineering (Artificial Intelligence) 

at GL Bajaj Group of Institutions, Mathura

B.Tech placements at GL Bajaj Group of Institutions (GLBGI) are generally good. The college has a placement record of over 90% for B.Tech. students.At GLBGI, the highest pay package available to B.Tech students is approximately INR 32 LPA, while the average salary package is approximately INR 4 LPA.

Some of the top recruiters at GLBGI include:

• TCS
• Wipro
• Amazon
• Axis Bank
• Cognizant
• Daikin
• Lentra
• Ultratech Cement
• Bosch
• Capgemini
• Infosys

Numerous other businesses from a range of sectors, including manufacturing, IT, BFSI, FMCG, and IT, also come to GLBGI.

The total tuition fee for GLBGI BTech course ranges between INR 2.6 lakh and INR 3.4 lakh. The total fee of BTech includes hostel and transport charges in addition to tuition fee. The fee is subject to change being a market component and/ or annual escalation. Candidates need to pay course at the time of admission to confirm their seat in the institute.

In order to be eligible for B.Tech in GL Bajaj Group of Institutions - GLBGI you have to pass class 12th with 50% and above. Also, Physics and Mathematics should be included in your subjects along with any one of the following subjects: Chemistry, Computer Science, Biology, and Engineering Drawing. For SC/ST candidates the minimum percentage is 45. For BTech admissions, the JEE Main score is accepted, and the minimum cut-off of the JEE percentile varies every year depending upon applicants.

Yes, GL Bajaj Group of Institutions accepts national-level entrance exams for admission to UG and PG courses. For BTech admission, aspirants need to pass JEE Main. MBA aspirants must qualify CUET-PG for admission. Candidates can apply for lateral entry based on their CUET score. 

GL Bajaj Group of Institutions offer admission to UG and PG courses based on entrance exam scores. The institution accepts CUET-UG for BTech (LE) and CUET-PG for MBA programme. Candidates can also apply for MBA with CAT/ MAT scores. Admission to BTech is based on JEE Main score. Direct admission is also offered under Management Quota. Besides, candidates must also fulfil the eligibility requirements specified for their course.

GL Bajaj Group of Institutions offer direct admission under Management Quota as per the university norms. Candidates seeking admission under Management Quota are informed by the authorities for test or interview for selection. Such candidates need to report to the college along with the specified documents for admission. 

GLBGI offers admission to BTech course based on JEE Main score. For BTech (lateral entry), candidates must have a valid CUET-UG score. Besides, candidates also need to pass Class 12 to get admission in BTech programme. The institution also offers direct admission under Management Quota as per the university norms. Such aspirants will be informed by the authority for a test or an interview.

The following is the fee structure for B.Tech programs at GL Bajaj Group of Institutions (GLBGI) for the academic year 2023–24:

GLBGI is actually a decent institute and is quite famous compared to other institutes in Uttar Pradesh. It is economical and the fee for 4 years of B.Tech in this college is approximately 3.4 lakhs. Alongside this, the placement of this college is promising and can be relied upon. The college has all the basic facilities and is approved by AICTE. The quality of students can be of concern as the minimum eligibility to join this college is quite basic. Also, the college does not organize a lot of events so campus life is below average. But overall GL Bajaj Group of Institutions - GLBGI is a pretty good option.

Here are some key details on cutoff information for admission to B.Tech at GL Bajaj Group of Institutions:

B.Tech. in Computer Science and Engineering: 950061

B.Tech. in Computer Science and Engineering (Artificial Intelligence): 849524

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning): 977482

B.Tech. in Artificial Intelligence and Data Science: 402863