B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.7 /5- Private Institute
- Estd. 2003
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) at the UG level. Candidates need to fulfil the both eligibility and selection criteria to get admission in the course. The institution accepts the scores of MPPET exam for admission to the course. The total tuition fee for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 1,40,000. Check below more details on Gyan Ganga Institute of Technology and Science B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
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
Gyan Ganga Institute of Technology and Science B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is collective of various components, such as the tuition fees, one-time charge, hostel fees, registration fees, examination fees, and other basis. However, there may be additional fees that students might be required to pay that are particular to the institution. At Gyan Ganga Institute of Technology and Science, the total tuition fee for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 1,40,000. Here is the information about the Gyan Ganga Institute of Technology and Science B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee breakup:
| 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.
K
Kaustubh Sen 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.6
3Placements4Infrastructure4Faculty4Crowd & Campus Life3Value for Money
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
U
Utkarsh Kushwaha
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.4
3Placements4Infrastructure3Faculty4Crowd & Campus Life3Value 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
4Placements3Infrastructure3Faculty4Crowd & Campus Life3Value 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
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value 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
3Placements4Infrastructure3Faculty4Crowd & Campus Life3Value 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
View All 27 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
Q: How is the placement facility at Gyan Ganga Institute of Technology and Science?
A:
Gyan Ganga Institute of Technology and Science has been rated 4.1 on placements on the basis of 135 reviews done by students.
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Q: How many seats are available for various courses offered at Gyan Ganga Institute of Technology and Science?
A:
Courses offerred by Gyan Ganga Institute of Technology and Science are approved by eminent Government bodies like AICTE, PCI. The combined seats available for courses offered at Gyan Ganga Institute of Technology and Science goes up to 1636.
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Q: Is Gyan Ganga Institute of Technology and Science a good college/Institute?
A:
Gyan Ganga Institute of Technology and Science is a reputed institute for M.E./M.Tech, B.Tech, B.Pharma, MCA, MBA/PGDM, D.Pharma. Students can opt these programs to pursue their career in Engineering, IT & Software, Medicine & Health Sciences, Business & Management Studies. Institute has trained & experienced faculty who deliver these programs. Gyan Ganga Institute of Technology and Science has a review rating of 4 on the basis of reviews by students. In addition to this, it has been rated 4.2 on campuslife, 4.1 on placements, 4.1 on faculty and 3.9 on Infrastructure.
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Q: Which courses are offered by Gyan Ganga Institute of Technology and Science?
A:
Gyan Ganga Institute of Technology and Science has courses such as M.E./M.Tech, B.Tech, B.Pharma, MCA, MBA/PGDM, D.Pharma which are primarily in the stream of Engineering, IT & Software, Medicine & Health Sciences, Business & Management Studies. Gyan Ganga Institute of Technology and Science has specializations such as M.E./M.Tech specializations in Power Engineering, Communications Engineering, Computer Science Engineering, Structural Engineering, Electronics Engineering, Production Engineering, B.Tech specializations in Computer Science Engineering, Electrical Engineering, Civil Engineering, Electronics & Communication Engineering, Robotics Engineering, Information Technology, Cyber Security, Mechanical Engineering.
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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
Feb 1 - 25, 2026
JEE Main 2026 Registration Session 2
Mar 28, 2026
JEE Main 2026 Admit Card Session 2Tentative
Apr 2 - 9, 2026
JEE Main 2026 Exam Date Session 2
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 |
|---|---|---|
| 1 | 758682 | 1470833 |
| 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 |
|---|---|
| 1 | - |
| 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 |
|---|---|---|
| 1 | 1407202 | 1470833 |
| 2 | - | 1465382 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 842649 | 813097 | 1086392 |
| 2 | 275600 | 125390 | 244271 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Gyan Ganga Institute of Technology and Science Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
Q: What is the median salary of B.E. / B.Tech course available at Gyan Ganga Institute of Technology and Science?
A:
As per information available, Bhiwani Institute of Technology and Science has recorded (aprx) INR 325,000 median salary to students for B.E. / B.Tech course during placements.
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Q: What is the median package of M.E./M.Tech course that is offered by Gyan Ganga Institute of Technology and Science?
A:
As per the data available, Median package of M.E./M.Tech course is around INR 350,000.
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Q: What is the eligibility to get admission in Gyan Ganga Institute of Technology and Science for UG/PG courses?
A:
Gyan Ganga Institute of Technology and Science has below criteria for taking admissions to it's various courses:
| Courses | Eligibility |
|---|---|
| M.E./M.Tech | Candidate must have completed B.E./B.Tech. in relevant branch with mentioned percentage. The mentioned SC/ST percentage is for Madhya Pradesh residents. Candidate belonging to OBC (excluding creamy layer) categories of Madhya Pradesh should have at least 45%. Bachelors degree should be of minimum of four years duration and have been obtained from any AICTE approved institution or Indian University/ Institute or from a foreign University recognised by AIU or any Institutes of national importance duly recognised by the MHRD, as equivalent thereto. Candidates in the Final year of above degree examinations can also apply on provisional basis. Rounding of marks or percentage is not permissible. |
| B.E. / B.Tech | Candidate must have passed 10+2 or equivalent examination from a recognised school/board. |
| B.Pharma | Candidate must have passed 10+2 with a subject combination of either Physics, Chemistry, and Biology or Physics, Chemistry, and Mathematics. |
| MBA/PGDM | Candidate must have completed Graduation with mentioned percentage in aggregate of any UGC/AICTE approved Indian University or from a foreign University recognised by AIU or Institute recognised by the concerned University as equivalent thereto. The mentioned SC/ST percentage is for Madhya Pradesh residents. Candidates belonging to OBC (excluding creamy layer) categories of Madhya Pradesh can apply with at least 45%. The Bachelor's degree must be of minimum three years duration after passing Higher Secondary (10+2) examination of (10+2) system or equivalent. Candidates in the Final year of above degree examinations can also apply on provisional basis. Candidate who has passed qualifying examination with grace marks are also eligible for admission. Candidates whose qualifying examination marksheet are based on grading system has to produce conversion of grade to marks. |
| D.Pharma | Candidate must have completed 17 years of age in the year of admission. |
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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 Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Gyan Ganga Institute of Technology and Science
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