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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
3.5 /5- B++ NAAC accredited
- Private University
- Estd. 1997
3.5
3.2
3.8
3.7
3.4
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.4
Good faculty members and top-notch environment at GIET.
Placements: More than 80 percent of students have been placed from last year in our AIML department. The top recruiting MNC's are ServiceNow, Google, Amazon AWS, and TCS. About 100 percent of students got internships this year. Top roles offered are data consultant, software engineer, and data analytics.
Infrastructure: The infrastructure is top-notch, like a fully air-conditioned library and labs. Facilities like a smart board and projector are available in the classroom. The Wi-Fi is available on the whole campus and in every hostel. The hostel rooms are very small and not made for 4 people.
Faculty: Teachers are very helpful. Most of them are PhD holders and have good knowledge of their subjects. Their teaching quality is top-notch. The course curriculum is different from normal branches and other colleges. It makes students ready for industry jobs.
Other: In every semester, there is one college fest and two to three department fests are conducted.
Reviewed on 14 Jul 2026Read More
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.6
Good infrastructure and good placements are available at GIET University.
Placements: Approximately 90-100 percent of students get placed in the last year. Placements of this institution are more than 90 percent every year. A lot of job offers are offered by companies like Google, Flipkart, and Amazon, with a good package for students. The package offered is more than 4 LPA, and the average package offered is 10 LPA.
Infrastructure: The infrastructure of our department is big and well-designed. The infrastructure of the hostel is not much better. Our hostel provides Wi-Fi with a daily limit of 2 GB, but the speed of the Wi-Fi is very slow. In some classrooms, there is no Wi-Fi network, but the Wi-Fi network is available in labs.
Faculty: Teachers are well-qualified and knowledgeable. They lack in the way of teaching. The course curriculum is relevant to the industry, and it makes students industry-ready. Exams are of 3 hours duration for end-semester and 2 hours in mid-semester. The pass percentage is 90 percent.
Other: There are many clubs that build our overall personality and skills.
Reviewed on 11 Jan 2026Read More
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.6
Placement are okay. It is recommended.
Placements: 800 students are placed in the B.Tech CSE and in our AI course more than 300 students are placed. The maximum package is 7.5 LPA to 8 LPA and the average is 4 LPA to 5 LPA. The job fields are good before 2022 but now this is okay. Top recurring companies are TCS Accenture Infosys, and High Radius. 1200 students are in B.Tech in different courses. The top role offered in our course is a more comprehensive package with a higher salary.
Infrastructure: The hostels provided are okay and manageable. They offer 2 BHK 3 BHK, and 5 BHK rooms with attached washrooms and bathrooms. They provide 2 GB of Wi-Fi for every student per day in the room. The class infrastructure is okay. The quality of the mess food is okay and the canteen food is very tasty.
Faculty: Every teacher is more knowledgeable and qualified but some of them are helpful. Maximum teachers assist us with knowledge. Teaching quality is okay. If the questions are made by the college faculty then the questions will be easy for us. If they are made by outside institutes then they may be difficult. The pass percent is 80 to 90 percent.
Reviewed on 6 Nov 2025Read More
View more 12 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Rankings
- Student Reviews
- Placements
- + 2 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
GIETU offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. As per the NIRF 2024, the course is ranked #201-300. A total of 60 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 8,96,000. Find out more about other courses under GIETU B.E. / B.Tech.
Total Tuition Fees | ₹8.96 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Average package | ₹ 6.50 Lakh |
Official Website | Go to Website  |
Seat breakup | 60 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
The total tuition fee for GIETU B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 8,96,000. 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 GIETU fee to confirm their seat in the institute. Below is fee breakup for GIETU 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. | ₹ 8.96 Lakh |
Meal Plan is included in mentioned fee.
Above mentioned fee for Non-AC Accommodation.
Fee for AC Accommodation- INR 496000. | ₹ 3.68 Lakh |
₹ 12.64 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Rankings
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
According to the NIRF rankings for 2024, GIETU has earned a rank of #201-300 for the B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) program in the academic year 2024. The ranking is applied to the B.E. / B.Tech courses by GIETU rather than only to B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). The details for GIET University’s rankings in B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) are shown below:
A
ABHIJIT MASHRA
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
5.0
5.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life5.0Value for Money
Well-qualified teachers, good placements, and overall a satisfying college experience.
Placements: Around 80 to 90 percent of students were placed in our course during the last admission period. The company provides the highest package of 25 Lacs per annum, the lowest package is 5 LPA, and the average package is around 8 to 10 LPA. Top recruiting companies include Google, Amazon, TCS, Flipkart, etc.
Infrastructure: Our Department of Computer Science and Engineering provides many facilities. All classrooms are smart classrooms with projectors, digital boards, and centralized air conditioning. The department provides high-speed Wi-Fi connectivity across the campus. The university has a large health center with many doctors available 24/7.
Faculty: Teachers in the department are highly qualified, experienced, and knowledgeable. Most of them hold Ph.D. or M.Tech degrees from reputed institutes. The teaching quality is excellent, combining theoretical concepts with practical labs. The pass percentage is around 40 percent.
Reviewed on 20 Oct 2025Read More
D
Dhriti ranjan Patra
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
2.8
2.0Placements3.0Infrastructure3.0Faculty3.0Crowd & Campus Life3.0Value for Money
Before 2020, the placement was good, but now it is not okay.
Placements: Around 800 to 900 students are placed in the B.Tech CSE. The maximum package will be 7.5 LPA to 8 LPA. The job fields were good before 2020, but now this is okay. Top recurring companies are TCS, Accenture, Infosys, and High Radius. Around 1200 students are in B.Tech in different courses.
Infrastructure: The hostels provided are okay. They offer 2 BHK, 3 BHK, and 5 BHK rooms. They provide 2 GB of Wi-Fi. In the room, there is 1 attached toilet and bathroom. The class infrastructure is okay. Similarly, the teacher quality is okay.
Faculty: Not all teachers are helpful. Some teachers assist us with knowledge. Teaching quality is okay. If the questions are made by the college faculty, then the questions will be easy for us. If they are made by outside institutes, then they may be difficult. Most of the students will pass.
Other: I chose this course for a job because in the market, CSE has a good market value.
Reviewed on 26 Aug 2025Read More
S
Sravanth Kumar Korada
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
2.4
2.0Placements2.0Infrastructure4.0Faculty2.0Crowd & Campus Life2.0Value for Money
Harsh truth of placements at GIET University.
Placements: In one word, no. They fake the placements by showing high package placements which are all off campus. College has no role in it. GIET University facilitates placements with a range of companies, but it's important to note that the typical salary package is generally not more than 6.5 LPA. Many of the higher salary packages reported are often from off-campus placements. Additionally, student attendance is a significant factor in placement eligibility. While the university has a placement cell, individual placement success is also considerably influenced by students' consistent attendance and proactive efforts in developing their skills.
Infrastructure: As for infrastructure, it won't meet your expectations. Only one hostel building is ok and the rest blocks are not good at all. It has 105 acres of land but most of the place is filled with trash and not usable. There are no AC hostel rooms. Only computer labs have AC and AC is not present anywhere. But talking about the place, Gunupur is not a good place. You will not find a place to enjoy yourself with friends, you will feel something is missing. There is no good restaurant or place to go with friends.
Faculty: The only thing that is good in this college is faculty members. But most of the faculty members of computer science branch don't know anything. Now coming to exams, after one exam just link your eye and another exam will have come. If you want to gain extra knowledge, library is not the place. Because in library, you cannot see and select the book. If you want you will have to ask the librarian for the book.
Reviewed on 27 Mar 2025Read More
S
Sravanth Kumar
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
2.4
3.0Placements1.0Infrastructure4.0Faculty2.0Crowd & Campus Life2.0Value for Money
Genuine review by a student.
Placements:
The package for each student is less, but you get placed in one company or another. The highest placement is 26 LPA, etc., which are off-campus placements, but they won’t tell you that. In on-campus placements, you can never get a package more than 8-10 LPA. If you want a good package, you have to obtain skills on your own and try off-campus placements. One more thing, Gunupur is a small town with no companies present. If you want to do an offline internship, you will face a problem.
Infrastructure: As for infrastructure, it doesn't meet your expectations. Only one hostel building is okay, and the rest of the blocks are not good at all. The campus is 105 acres, but most of the place is filled with trash and not usable. There are no AC hostel rooms. Only computer labs have AC, and AC is not present anywhere. But talking about the place, Gunupur is not a good place. You will not find any place to enjoy with friends, and you will feel like something is missing. There are no good restaurants or places to go with friends.
Faculty: The curriculum is good, but the problem is the 80% attendance policy. You can't give yourself time to learn something. Only one event happens per year. So you never get the opportunity to express your talent. However, teachers are good, and they mostly teach in English. There are a lot of exams, and they charge an exam fee of Rs.1,500 for each exam.
Other: The connectivity of the college is not good. The trains start at 2:30 am, 5:00 am, and only one at 3:30 pm. You will feel like you wasted your money. I would recommend simply no. There are negligible extracurricular activities, and the campus is not at all okay. You should prefer colleges in bigger cities as they open more opportunities for you. There are no cities nearby. Try to get into 1st or 2nd-tier colleges, as this is a 3rd-tier college, and there is no rank below that.
Reviewed on 5 Mar 2025Read More
B
Bibhukalyan Nayak
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.8
4.0Placements3.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
It is an above-average private college compared to the fee structure.
Placements: About 85% of students are already placed in the domain of AI and ML in different companies in the batch of 2021-2025. The highest package offered is about 15 LPA, and the lowest is about 3 LPA. TCS, Deloitte, Infosys, HP, and Tech Mahindra are the top recruiting companies.
Infrastructure: Classrooms are well-ventilated but lack AC for the summer, though every classroom has a projector. The food quality is average, not great compared to other institutions. There is a paid canteen. Medical facilities include a small dispensary for minor treatments. All sports are available except for hockey, but there is no indoor stadium. A swimming pool is present.
Faculty: Teachers are very helpful, well-qualified, and knowledgeable. The teaching quality is good. The course curriculum is relevant to the domain, and it makes us industry-ready up to 70%. Semester exams are quite difficult at the college. You can predict questions compared to NITs. The pass percentage is 40%, and you have to secure a minimum of 40% in a subject to pass.
Reviewed on 22 Feb 2025Read More
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
| Particulars | Statistics (2024) |
|---|---|
| Average Salary | INR 6.50 Lakh |
| Highest Salary | INR 26.50 Lakh |
| Median Salary | INR 4.80 Lakh |
| Lowest Salary | INR 2.16 Lakh |
| % Batch placed | 97 |
Top Recruiters for GIET UniversityGenpact
Hexaware Technologies
Highradius
Hitachi
IBM
Infinite
Infosys
Intellipaat
Invenio
Jindal Steel
PIAGGIO
Sakthi Group
SAP
TATA Consultancy Services
Tech Mahindra
VIT Infotech
Webkul
Wipro
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
General
Requirements for 12th grade
- 45%
- Read more
Candidates must have passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/Agriculture/Engineering Graphics/Business Studies with mentioned marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. or Candidates who have studied Physics, Chemistry and Mathematics at 12th standard level are also eligible to apply.
JEE Main
GIETEE
Other eligibility criteria
A candidate who have passed diploma in engineering aand technology with atleast 45% marks for general and 40% marks for reserved category) is also eligible
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
Important Dates
ALL
GIETEE
JEE MAIN
Jul 6, 2026
JEE Main counselling round 3 allotment
Jul 10, 2026
JEE Main counselling round 4 allotment
Jul 16, 2026
JEE Main counselling round 5 allotment
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University News & Updates
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at GIET University Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at GIET University
Address
At – Gobriguda, Po- Kharling,
Dist. - Rayagada
Gunupur ( Orissa)
Phone
06857250170
(For general query)
7735745535
(For admission query)
Go to College Website ->
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