B.Tech. in Computer Science and Engineering (Data Science) 

at Guru Nanak Institutions Technical Campus, Ibrahimpatnam

GNITC has been ranked #77 by Times in 2024. The aforementioned ranking is for the 'Engineering' category.

GNITC offers hostel accommodation to its students. Students who opt for on-campus accommodation have to pay the hostel fees separately. Tabulated below is the hostel fee structure at GNITC:

Note: The above information is as per the official website of GNITC. However, it is still subject to changes.

Student reviews on Shiksha for GNITC BTech courses suggest that BTech students have a fruitful experience at GNITC. The students suggest the institute is able to provide good paying placements to the students. The placement rate is also suggested to be good, standing at an average of 80-90%. One reviewer states that ‘Top roles offered are of civil supervisors and material engineers’.

When enquired about other aspects of the institute, GNITC students said that the college’s infrastructure is good. The campus is equipped with necessary amenities such as equipped labs, pleasant classrooms, a Wi-Fi system, and more. When asked about the curriculum structure, maximum students shared the thought that it's relevant and helps them be industry-ready. Overall, based on the reviews, it can be said that GNITC BTech course is worthwhile students’ time.

The fees for BTech at Guru Nanak institutions technical campus ranges between 3.2 L to 4.8 L. There are total 12 specialities of BTech which are available for the students to pursue. Different specialities may have different fee structures. If we see the fees, it can be said that it is resonable. If we compare it to other institutions, it is lesser. The ROI which students get is decent, the average package offered here after BTech is 4.05 LPA. Students can avail various scholarships also to get some relief from the fees structure. So if any student wants to take admission here he/she must see other factors such as infrastructure, faculty members etc. also. 

A fellow can get an admission in Guru nanak institutions Technical campus  by writing and qualifying the exam TS EAMCET, with a good rank. The rank decides the course that you kept in order for councelling . After councelling as per your rank you will get a seat in Guru Nanak Institutions Technical Campus in different branches. Management seats are also available for engineering but the fee structure is somewhat high.

Guru Nanak Institutions Technical Campus accepts admission to various courses based on the entrance exam scores. The basic eligibility criteria for the PG courses is a bachelor's with 50% aggregate. Students with 60% in Class 12 can only get admission to undergraduate courses when they clear any of the accepted entrance exams. 

Guru Nanak Institutions Technical Campus Hyderabad is affliated with JNTU- Hyderabad. Moreover, the institute is also accredited by the NBA and NAAC with an A+ grade. Additionally, GNITC is approved by the AICTE and has been ranked 3rd in the SCRO region by MHRD, Innovation Cell and AICTE.

The fee for Guru Nanak Institutions Technical Campus is INR 3.2 lakh - INR 4.8 lakh per year for a single student. The students who got admitted based on the EAMCET rank will get a scholarship from the Telangana government of up to INR 35000 in the name of free reimbursement. The student who wants to stay in the hostel needs to pay an additional separate fee based on their requirement. The Hostel fee ranges from INR 1 lakh to INR 1.5 lakh per year for a single student. There will be additional charges like library fees, lab fees, etc. which are not included in the fee that we paid earlier.                                    

Admissions to various GNITC BTech courses including BTech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) are made based on TS EAMCET. The closing rank for 2023 admissions stood at 17588. Refer to the table below to know the past three years closing rank for BTech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GNITC: