B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Guru Nanak University, Hyderabad

4.1 /5

(4 Reviews)

Private University

3.7

Placements

4.3

Infrastructure

4.3

Faculty & Course

4.0

Campus Life

4.0

Value for Money

S Naveen Jain Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029

4.6

It has good infrastructure.

Placements: I have no idea about placements because we are the second batch of university. However, they promise high-paying jobs from top companies like Wipro, Deloitte, etc. Still, no one gets an internship yet. Students have to wait one more year to become eligible for internships.

Infrastructure: Everything is good, and the environment is peaceful and calm. The infrastructure is absolutely amazing. Wi-Fi is provided by the college. Equipment is available in the laboratories. They provide good food and medical facilities. Everything is best here.

Faculty: Teachers are from IITs and NITs. They have good knowledge and help us a lot during projects. Their teaching quality is absolutely fantastic and amazing. The course curriculum is relevant. It makes students industry-ready. It is tough to pass the exams.

Other: My parents suggest that I choose this college because it has good scope in the future. Everything is best. Events are not very helpful.

Reviewed on 5 Jul 2026Read More

Kalavasetti Maneesh Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028

4.2

College infrastructure is excellent. The campus consists of everything that students need.

Placements: 24-28 is the 1st batch of university top companies like IBM are linked with university courses. Top companies like Wipro, Infosys, IBM, and Google will offer roles like technical, non-technical, design, and management roles in the recruitment.

Infrastructure: Infrastructure is excellent, and the library consists of 40,000 books. Hostel food is also good. The campus consists of 2 grounds and one indoor games place called Gametron. We have a university team, and sports fests are also conducted grandly yearly twice. The campus has 4 canteens.

Faculty: Teaching is really good. The course is industry-oriented. Semester exams were not that tough, though the pass percentage is 75 percent. Courses are really good, and we have many labs with experienced faculty having high knowledge. They are very helpful to students.

Other: I chose AIML because it is the trending course in the market. Many events will be conducted.

Reviewed on 17 Dec 2025Read More

KASTHURI SAI GANESH Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029

3.4

There are good facilities in the college.

Placements: I think above 75 percent of students get placed in our college. The highest package offered is 12 LPA, and the lowest salary package offered is 4 LPA. Top recruiting companies for our course are IBM, Microsoft, SAP, etc. Probably, I don't know about internships because I'm 1st year student. There are more courses like AI ML, CSS, etc.

Infrastructure: Good facilities and infrastructure are available in our college. The library is good. Wi-Fi is available, and labs are very good. I don't know much about the hostel, but I think it is better. The teaching facilities are very good.

Faculty: Teachers are very helpful to students at exam time. They are knowledgeable. The course curriculum is perfect, but not bad. It does not make students industry-ready. Exams are not more difficult in this college. They are also experienced.

Other: I chose this college to get the best course curriculum and a better life. It has the best courses like AI, ML, and Intellipaat.

Reviewed on 26 Jan 2026Read More

View more 4 Reviews

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

Table of contents

Overview
Fees
Student Reviews
Placements
Entry Requirements
+ 1 more item

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University
Overview

Guru Nanak University offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. To get admitted to Guru Nanak University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course, applicants must meet the entry requirements - 45.0% in 12th. Guru Nanak University The total tuition fee for this course is INR 1040000 for the entire duration of the course. To learn more about other courses offered under B.E. / B.Tech at Guru Nanak University, please visit.

Total Tuition Fees	₹10.40 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Type of University	Private

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University
Fees

Fee components	Amount (4 years)
Tuition Fees	₹ 10.40 Lakh
Total fee	₹ 10.40 Lakh

These are based on information available on various sources. Latest values may differ.

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University

Frequently Asked Questions

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University
Students Ratings & Reviews

4.1/5

3 Verified Reviews Info Icon

4-5
2
3-4
1

Placements3.7

Infrastructure4.3

Faculty & Course4.3

Campus Life4.0

Value for Money4.0

S Naveen Jain

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029

4.4

4.0Placements4.0Infrastructure5.0Faculty5.0Crowd & Campus Life4.0Value for Money

I think I can give a 9/10 rating.

Placements: No students were placed in my course. Since we are the second batch, there is no package offered. They said Microsoft is based on GNIT. Since we are the second batch, there is no internship. No idea of top roles since we are the second batch here. If we need any information, we should ask GNIT students.

Infrastructure: Wi-Fi is available, and labs are also well-maintained. In classrooms, digital boards are provided, and we have a central library where all books are available. We have good facilities. Good quality is okay, and medical facilities are provided. Sports are not encouraged much.

Faculty: Teachers are helpful, and they are qualified from IIT and NIT. They have good knowledge, and the teaching quality is absolutely fantastic. The course curriculum is helpful, and it makes students industry-ready. They are not too difficult. If we read the question bank, we can easily pass. The passing percentage is 70%.

Other: I have chosen this course because AI and ML have a great future. There are high opportunities to get a job. If they taught more practically, it would be better. Fests are conducted once every 2- 3 months, and the crowd is good. Campus infrastructure is great, and to relax, we have many sitting areas, a juice center, and canteens. This year, they have implemented scholarships for GNU students. One should write the GNUCET to get scholarships. I haven't seen any extracurricular activities.

Reviewed on 20 Apr 2026Read More

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University

Students also asked

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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University
Placements

Particulars	Statistics (2024)
% Batch placed	80

Top Recruiters for Guru Nanak University

Accenture

CapGemini

CTS

Hyundai Mobis

Infosys

L&T Technology

Mphasis

NTT Data

TCS

Tech Mahindra

Virtusa

Wipro

View placement details

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Guru Nanak University
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

45%
Candidates must clear 10+2 examination with Physics/Mathematics /Chemistry/Computer Science/Electronics/Information Technology/Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/Agriculture/Engineering Graphics/Business Studies/Entrepreneurship/ Agriculture stream (for Agriculture Engineering) must obtained mentioned marks in the above subjects taken together from recognized board.
Read more

ISC

CBSE 12th

TSBIE

Other eligibility criteria Up Arrow Icon

Candidates who have passed minimum 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme.

Conditional Offer Up Arrow Icon