B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.7 /5- Private Institute
- Estd. 2003
3.6
3.6
3.8
4.0
3.6
P
Praveen Rajak 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.8
Good college & good environment.
Placements: Almost 30-40 per cent of students last year got placed in my course, and the highest package is around 12 LPA, the average is around 4-5, and the lowest is 3 LPA. I think the top recruiting companies are TCS, and fewer students get internships this year. Some top roles include Software Developer, Data Scientist, AI Engineer, Cybersecurity Analyst, etc., offered in our course.
Infrastructure: Facilities are quite good, and the infrastructure is also good. The quality of food in the canteen is also nice, and the labs are big, no problem, and the library experience is not so good in my case because of a fine, and the sports and games also happen, and the AIML department is also nice. The food quality in our canteen is good. Classrooms are equipped with projectors and cameras for enhanced teaching methods.
Faculty: Teachers are qualified and helpful, as they help students. The course is so relevant because of the upcoming challenge due to AI, and the students are also good at their skills if they work hard, and the semester exams are also easy, they can pass by studying one night before. We can discuss any doubts multiple times, and they will solve them with zero tolerance.
Reviewed on 15 Feb 2026Read More
A
Anushka Bondre
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.6
Develop a coding culture on campus.
Placements: Top recruiting companies are TCS, IBM, Infosys, Tech Mahindra, etc. About 60 percent of students were placed last year. Internships are quite difficult as the college has strict attendance criteria. Only a few students have got extraordinary placements, but the rest have received some opportunities, so it’s still a good choice.
Infrastructure: There are Wi-Fi-enabled labs and pretty decent classrooms. Food in the mess and canteen is good and prepared with proper hygiene. The library is good and has many new and old collections of different books. Medical facilities are provided on time. Sports and games are held regularly.
Faculty: Teachers are helpful and knowledgeable. The courses have a nice curriculum. Semester exams are moderately tough. Teachers help us understand new technology and ensure that everyone gets comfortable with the course. Students are allowed to question every action by the teachers.
Other: I chose this course because it is futuristic and will help me build a good future. I hope the college introduces a coding environment and encourages extracurricular activities. Events and fests are held every year. The campus crowd is cool. Scholarships are provided for extraordinary students, both private and government.
Reviewed on 5 Feb 2026Read More
K
Kaustubh Sen
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.6
It is a good college with good management.
Placements: Almost 30–50% of students get placed in my course each year. The highest package is around 15 LPA, the average is around 4–5 LPA, and the lowest is 2.5 LPA. The top recruiting companies are TCS, Cognizant, and a few others. Fewer students get internships this year. The top roles offered in my course last year are Data Analyst, Software Engineer, and others.
Infrastructure: Facilities are quite good. Free Wi-Fi is available in labs, and the overall infrastructure is good. The library is quite good. The quality of food in the canteen is nice. Labs are big with no issues. My library experience is not very good because of a fine. Sports and games happen from time to time, and the AIML department is also good.
Faculty: Teachers are qualified and helpful. They complete the syllabus on time. The course is relevant due to upcoming challenges in AI, but it does not make students industry-ready. Students can become skilled if they work hard. Semester exams are easy and can be passed by studying even one night before the exam.
Reviewed on 24 Dec 2025Read More
View more 31 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Student Reviews
- Placements
- Entry Requirements
- + 2 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
Gyan Ganga Institute of Technology and Science offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. A total of 240 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 1,40,000. Find out more about other courses under Gyan Ganga Institute of Technology and Science B.E. / B.Tech.
Total Tuition Fees | ₹1.40 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 240 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
The total tuition fee for Gyan Ganga Institute of Technology and Science B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 1,40,000. Besides, the fee also includes other components, such as exam fee, caution deposit, enrollment fee, etc. Some of the fee components, such as caution deposit are one-time payable. Candidates after getting admission in B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) need to pay the Gyan Ganga Institute of Technology and Science fee to confirm their seat in the institute. Below is fee breakup for Gyan Ganga Institute of Technology and Science B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees.
Mentioned fee is as per Admission and Fee Regulatory Committee (AFRC), MP. | ₹ 1.40 Lakh |
₹ 1.40 Lakh |
These are based on information available on various sources. Latest values may differ.
U
Utkarsh Kushwaha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.4
3.0Placements4.0Infrastructure3.0Faculty4.0Crowd & Campus Life3.0Value for Money
A good engineering college in Jabalpur.
Placements: Almost 45-55 percent of students last year got placed in my course, and the highest package is around 16 LPA, the average is around 6-8 LPA, and the lowest is 2.5 LPA. I think the top recruiting companies are TCS, Accenture, and Cognizant, and fewer students got internships this year, because the skills that companies want are missing in the students. Top roles offered include Data Analyst, Computer Engineers, and many more in our course.
Infrastructure: Facilities are quite good, and the infrastructure is also good. The quality of food in the canteen is also nice, and the labs are big, no problem. The library experience is very good in my case because I can sit there for study by bunking the class, and the sports and games also happen, and the AIML department is also nice. But the CSE department is too awesome.
Faculty: Teachers are qualified and helpful, as they help students with zero tolerance. The course is so relevant because of the upcoming challenge due to AI, and the students are also good at their skills if they work hard. The semester exams are also easy, you can pass them by studying one night before. The pass CGPA is about 6 out of 10, and 7 or above is considered a good CGPA.
Reviewed on 5 Dec 2025Read More
Y
Yash Namdeo
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.4
4.0Placements3.0Infrastructure3.0Faculty4.0Crowd & Campus Life3.0Value for Money
It is a good college with a good environment and good internships.
Placements: Almost 40-59 percent of students in the last year got placed in our course. The highest package is around 15 LPA. The average package ranges from 4-5 LPA. The lowest package is 2.5 LPA. I think the top recruiting companies are TCS and Cognizant. A few students got internships this year.
Infrastructure: Facilities are a little good in our department. The infrastructure is good. The quality of food in the canteen is also nice. Labs are big, and there is no problem. The library experience is also good. Sports and games also happen. The AI ML department is also nice. There are some free Wi-Fi connections also.
Faculty: Professors are qualified and helpful, as they help students without any problems. The course curriculum is so relevant because of the upcoming challenge due to AI, and students also get good skills if they work hard. Semester exams are easy, and we can pass by studying one night before.
Reviewed on 2 Dec 2025Read More
A
Anuj kumar vishwakarma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2024
5.0
5.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life5.0Value for Money
Review of AI&ML branch from my perspective.
Placements: The percentage of students differs from batch to batch. It means if you have that potential, you could be placed in any company. Similarly, the package offered by the company also differs basically in AIML. Most of the students are employed in technical companies. Companies like Microsoft, Google, Amazon, etc., come for campus selection.
Infrastructure: Facilities offered by the college are excellent. Infrastructure of the college is well-designed. There are various labs for various subjects like we have physics lab, mechanical lab, workshops, etc. The class in charge will inform you about the library. You can issue the books required for the semester and renew them by the given date. There is a library where you can read and write whatever you want by a certain time.
Faculty: Faculty members are highly experienced and have great educational qualifications. They are knowledgeable and have average of 12 to 13 years of work experience. The education quality provided is extremely good. The course makes students industry-ready by making them know what are the current needs for technology. They take students for industrial visits and make them know how the industries work. The difficulty level of the semester is moderate. Even normal students can pass out and it's all up to you how you make the use of time.
Other: The main motive for choosing this branch is that I like coding. I want to become a software engineer and that branch can make me. The college in which I am admitted is awesome for this branch that's why I chose this course. Not only for this course but every branch is also awesome and it's by the teachers that the college has.
Reviewed on 4 Mar 2025Read More
P
Palak Namdeo
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
3.4
3.0Placements4.0Infrastructure3.0Faculty4.0Crowd & Campus Life3.0Value for Money
Nice college, placements are average.
Placements: 40 to 50 percent students got placed with salaries ranging from 3 to 30 Lacs per year depending on the role and company. Top recruiters include companies like Google, Microsoft, Amazon and Accenture. 50 to 80 percent students also secure internships often with big companies like TCS or Infosys. Common roles offered are Software Developer and Data Analyst. These numbers can vary by course and institution. In the AIML course many students got placed this year.
Infrastructure: The department has good classrooms with Wi-Fi, projectors and labs with all the needed equipment. The library has books and online resources. Hostels are clean with basic facilities and the mess/canteen serves different types of food. There are medical facilities on campus and sports options like cricket and football.
Faculty: The teachers are helpful, qualified and know their subjects well. They teach in a way that makes things easier to understand. The course is relevant and prepares students for real jobs, covering both theory and practical skills. The semester exams can be challenging, but with good preparation, most students manage to do well. The pass percentage is usually high, but it depends on how well students perform, though they can pass by studying one night before.
Other: The events are so good.
Reviewed on 16 Jan 2025Read More
R
Rajeshwari patel
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
3.4
4.0Placements3.0Infrastructure3.0Faculty3.0Crowd & Campus Life4.0Value for Money
Good college and best infrastructure.
Placements: More percentage of students are placed this year, and the highest package is around 12 LPA. The average is around 6 LPA, and the lowest is 3-4 LPA. The top recruiting companies are Jio and Cisco. This year, fewer students got internships, and the roles offered are good.
Infrastructure: Facilities are good, and the infrastructure is also good. The course infrastructure is very good, and Wi-Fi is available in the labs. The classrooms are well-spaced, and the quality of food is also good. The mess and canteen are average, and the medical facilities are nice. Sports also happen.
Faculty: Yes, teachers are helpful, well-qualified, and have good knowledge of teaching. The course is so relevant, and it makes students industry-ready if he or she studies well. The semester exams are also easy, and the pass percentage is 32, I think, and one can pass by studying one night before.
Reviewed on 5 Jan 2025Read More
Download exam sample paper
JEE Main
JEE Main
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
| Particulars | Statistics (2023) |
|---|---|
| Median Salary | INR 4.00 Lakh |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
JEE Main
MPPET
Other eligibility criteria
Candidate must have passed 10+2 or equivalent examination from a recognized school/board.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
Important Dates
ALL
JEE MAIN
Jul 10, 2026
JEE Main counselling round 4 allotment
Jul 16, 2026
JEE Main counselling round 5 allotment
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
3Gender
Quota
Category
MP BE round-wise cutoff Rank: (General-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 628876 | 620106 | 876190 |
MP BE round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 | 2026 |
|---|---|---|---|
| 1 | 758682 | 1470833 | 1532718 |
| 2 | 645607 | 1465382 | - |
MP BE round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 842649 | 813097 | 1086392 |
| 2 | 275600 | 125390 | 244271 |
MP BE round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 | 2026 |
|---|---|---|
| 1 | - | 1535219 |
| 2 | 1395063 | - |
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 628876 | 620106 | 876190 |
JEE Main round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 | 2026 |
|---|---|---|---|
| 1 | 1407202 | 1470833 | 1532718 |
| 2 | - | 1465382 | - |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 842649 | 813097 | 1086392 |
| 2 | 275600 | 125390 | 244271 |
JEE Main round-wise cutoff Rank: (OBC-Home State)
| Round | 2026 |
|---|---|
| 1 | 1535219 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
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