B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
- Private Institute
- Estd. 2009
4.4
3.9
4.4
4.5
4.4
S
Sanika Kathavale 
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2025
5.0
I'm dissatisfied because of the faculty's good placement and good infrastructure.
Placements: I give Acharya Institute of Technology a rating of 60% to 70% of students placed in Tata Consultancy Services, with the highest salary being 12 LPA and the minimum being 3 LPA from the company. The college provides AI1K company internships but only offers credit points, not paid internships. Around 20%-25% of students crack the internship.
Infrastructure: The college is in Shelu, but the hostel is in Nerul. The college provides the bus, time to time. College provides high-speed Wi-Fi in the hostel. Classrooms and library are so good, but the mobile network is an issue, that's the problem, the canteen is provided by the college. Sports and games are played yearly.
Faculty: The teachers are well-qualified from the best institute, and they provide notes chapter-wise. Their behavior is very helpful for students. Notes are so simple and help with the semester exam, and they provide important questions from previous year question papers, and a doubt-solving lecture is conducted on the weekend.
Other: The college is provided with a special canteen and a special library. Other: Campus is so big and crowded, a yearly scholarship exam is conducted. Extracurricular activities are conducted in college.
Reviewed on 28 Jul 2025Read More
A
Aditya sawant
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2028
4.2
Good college, nice faculty, nice support from staff.
Placements: Placements at G. V. Acharya are really good, especially in this course. Around 90% of students get placements in well-known software companies. Highest package offered is 15 LPA, lowest is around 7 LPA, and average package is around 9 LPA. Some top companies that recruit students are Infosys, Capgemini, Tata, Wipro, and many more. Internship opportunities are also good, with around 85% of students getting internships from college at companies like Tata, TCS, Capgemini, IBM, and many more. Roles offered in my course are Software Engineer, Full Stack Developer, Backend Developer, Data Analyst, and many more.
Infrastructure: College has very good infrastructure. Campus has a high-speed Wi-Fi facility in every lab and hall. It also has well-equipped computer labs, clean and well-maintained classrooms, and a large library. Hostel food is good, rooms are clean, and service is also better. Mess and canteen are clean and good, with tasty food and at very low prices. Medical facilities are also available. College also conducts sports like football, cricket, badminton, kho-kho, and many other outdoor and indoor sports.
Faculty: Teachers are really knowledgeable and experienced. Most of them have a Ph.D. or industry experience and are always ready to help students with good behavior. Curriculum is well-designed, and college covers all courses that are necessary for industry. There are also coding and many other technical competitions for students, which make them more industry-ready and knowledgeable. Semester exams are a little difficult but manageable with regular study, and pass percentage is 95%.
Reviewed on 28 Jul 2025Read More
S
Srivalli
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
3.6
GVAIET information for students.
Placements: Placement opportunities at GVAIET are gradually improving. The college has an active training and placement cell that organizes recruitment drives and training sessions in aptitude, soft skills, and technical domains. Core companies like IT companies like TCS, Wipro, and some local firms visit the campus, but placement in core branches is still limited.
Infrastructure: The campus is located in a scenic and peaceful area of Shelu, providing a calm learning environment. The classrooms are decently equipped with smart boards, and the labs have the necessary equipment, although sometimes a bit outdated. The library is well-maintained with a good collection of books and reference materials.
Faculty: Most of the faculty members are supportive, knowledgeable, and approachable. They focus not only on the syllabus but also try to encourage project work, innovation, and extracurricular involvement. The examination process follows the Mumbai University structure, with internal assessment, midterms, and end-semester exams. The curriculum follows the Mumbai University structure, which is more theory-focused but includes practical sessions and projects.
Other: College organizes cultural festivals, teach events, and sports competitions that offer a break from academics and help build soft skills and confidence. The administration is generally cooperative, although at times paperwork and official approval can be slow.
Reviewed on 28 Jul 2025Read More
(1) 1 person found this helpfulView more 14 Reviews
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Student Reviews
- Entry Requirements
- Admission Process
- + 1 more item
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Overview
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
G.V. Acharya Institute of Engineering and Technology offers B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at the UG level with a duration of 4 years. This course provides candidates with essential knowledge and practical experience for career success. The total tuition fees for this course is INR 1,46,340.
Total Tuition Fees | ₹2.18 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.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Fees
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
G.V. Acharya Institute of Engineering and Technology B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) fee is to be paid over 4 years. The fees structure is inclusive of multiple components, such as One-Time Fees, Registration Fees, Exam Fees, etc. Candidates have to pay the course fee to finalise their admission into the university. Candidates can have a look at the table below to get an understanding of the G.V. Acharya Institute of Engineering and Technology fee structure:
| Fee components | Amount (4 years) |
|---|---|
Tuition fee is calculated on the basis of 1st year. Actual amount may vary.
The mentioned fees is as per AFRC Maharashtra. | ₹ 2.18 Lakh |
₹ 2.18 Lakh |
These are based on information available on various sources. Latest values may differ.B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Frequently Asked Questions
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
A
AISHWARYA SANTOSH MORE
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2027
4.2
5.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Great college with the best.
Placements: It provides excellent support for placement. Training and placement cell is working continuously to give students best hands-on training with the help of Anudip Foundation, and some courses that are really helpful. Companies like Wipro, TCS, and Tech Mahindra recruit.
Infrastructure: Infrastructure is good, a great vibe of nature, beautiful scenery, and it gives best lab and classrooms. Hostels are clean and safe, and the canteen mess is also good. Sports and games are best time, where you can enjoy very much as we enjoyed a lot.
Faculty: Faculty is knowledgeable, supportive, and dedicated. Most professors explain concepts well and are approachable. Some could improve responsiveness and engagement. Overall, they create a positive and growth-focused academic environment. Students are industry-ready.
Reviewed on 28 Jul 2025Read More
A
Ankush Zore
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
5.0
5.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life5.0Value for Money
Good campus, faculty & placement.
Placements: 2022 to 2026, B.Tech in Artificial Intelligence & Machine Learning. Around 80% are placed. The highest package offered is 12 LPA, the lowest package offered is 3 LPA, and the average package offered is 5.5 LPA. Top recruiters are Infosys, TCS, Wipro, and Capgemini. 70% of students got internships in Infosys and Cognizant. Roles offered are Data Analyst and AI Engineer.
Infrastructure: The department has smart classrooms, Wi-Fi enabled campus, well-equipped AI/ML labs, and a rich library. Hostel rooms are decent with 24/7 water, Wi-Fi, and power. Mess food is average, canteen is better. Good medical care and sports facilities are available.
Faculty: Faculty are well-qualified, supportive, and knowledgeable. Teaching quality is good with practical examples. The AI & ML curriculum is updated and industry-relevant. Semester exams are moderately tough. The pass percentage is around 85 to 90%. They are supportive and helpful in project work.
Other: I am from 2022 to 2026, B.Tech AI & ML. I chose this course because of my interest in AI. The best part is practical projects and tech exposure. Need more industry tie-ups. Fests are lively, good crowd, decent campus. The campus has good connectivity. Scholarships & extracurricular activities are active.
Reviewed on 28 Jul 2025Read More
P
Pranav Sandeep Vaidya
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
3.8
4.0Placements3.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Value for money, but you need to do everything by yourself; don't rely on the college.
Placements: Placements are not good at all. You need to do hard work to get placements. Although the college is trying hard to bring different kinds of courses and internships you can enroll in, you still need to do lots of hard work to get a job, but you can think about it.
Infrastructure: It's an okay type of infrastructure. Don't expect much in terms of infrastructure; even the basic things like washrooms and fans are not working sometimes. The computer systems are not efficient enough to run like they should be, but yeah, it does the job for now.
Faculty: Exams are not that hard; if you even study for one or two months, you can easily pass or even get a good rank. About my course, it's the best thing you can have. AIML is the best branch you can go into for both AI and also access other options in other fields, like web development, etc.
Reviewed on 5 Aug 2025Read More
S
Sarthak Santosh padale
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
4.2
5.0Placements3.0Infrastructure4.0Faculty4.0Crowd & Campus Life5.0Value for Money
Positive Experience with Good Placements and Hostel Facilities.
Placements: Many students are placed, and many got internships. Some students also get an internship in the second and third years. In our course, approximately 85% to 90% of the students were successfully placed through campus placements. The highest package offered was 32 LPA, while the lowest package stood at around 3.5 LPA. The average package received by students was approximately 6.5 LPA. Some of the top recruiting companies for our course included Amazon, TCS Digital, Infosys, Wipro, Accenture, Capgemini, Cognizant, Deloitte, ZS Associate, and Tech Mahindra. Around 70% of students were able to secure internships, either through the college.
Infrastructure: The cafeteria is huge, the food quality is also good, and sports are conducted perfectly. Our department is equipped with modern infrastructure to support effective learning. Classrooms are spacious and equipped with projectors and smart boards. High-speed Wi-Fi is available for both academic and personal use. The department has well-maintained computer labs with the latest configurations and required software, allowing students to work on coding, data analysis, and project development. The central library is large, air-conditioned, and stocked with a vast collection of textbooks, reference materials, journals, and e-resources. In addition, students have access to departmental libraries for quick reference.
Faculty: ML staff is teaching all the concepts in simple and very clear language. Overall, the teaching staff is good. The pass percentage is approximately 80 to 90% The teachers in our course were generally helpful, well-qualified, and knowledgeable in their respective subjects. Many faculty members held postgraduate or doctoral degrees and had good teaching experience. They were approachable outside of class hours and supported students with projects, doubts, and guidance for competitive exams. The teaching quality was decent overall, with a few exceptional professors who made complex topics easier to understand through practical examples and updated content.
Other: I chose this course because it aligns well with my interests and career goals offering a strong foundation in both theoretical knowledge and practical skills. One of the best things about the course is the balanced curriculum that combines core subjects with opportunities for hands on projects and internships helping students gain real world experience. The faculty is supportive and the availability of well-equipped labs also add great value. I wish the course could include more updated content on emerging technologies and offer better industry interaction through workshops and guest lectures.
Reviewed on 28 Jul 2025Read More
S
Shridhar kedari
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2028
4.4
4.0Placements5.0Infrastructure4.0Faculty5.0Crowd & Campus Life4.0Value for Money
They are college is provided special canteen and college is provided special library .
Placements:
I give Acharya Institute of Technology a rating of 60% to 70% of students placed in Tata Consultancy Services, with the highest salary being 12 LPA and the minimum being 3 LPA from the company. The college provides AI1K company internships but only offers credit points, not paid internships. Around 20%-25% of students crack the internship.
Infrastructure: The college is in shelu but hostel is Nerul college will provide the bus but time to time and college is provided high-speed Wi-Fi in hostel classroom and library so good but mobile network is issue only this the problem canteen is provided by college sport and games is play yearly .
Faculty: The teacher are will qualified form best institute and she provided notes chapters wise behavior is very helpful for students notes is so simple and helps to semister exam and they are provide important questions from previous year question papers and doubt solving lecture is conducted in weekend .
Other: Campus is so big and crowd they are yearly Scholarship Exam is provided extracurricular activities are in college .
Reviewed on 8 Feb 2025Read More
Download exam sample paper
JEE Main
JEE Main
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Entry Requirements
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
General
OBC
SC
ST
Requirements for 12th grade
- 45%
- Read moreCandidate must have studied Physics & Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subjects/ Computer Science/ IT/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies with above mentioned marks in the above subjects taken together from any recognised Board/Council. The mentioned marks of SC/ST and OBC is for the candidate belonging to maharashtra State. Candidates who are appearing at the qualifying examination are also eligible. Maharashtra State candidate must have to appear for MHT-CET. All India candidate need to appear for MHT-CET/JEE Mains. However JEE Mains will be preferred over MHT-CET.
MHT CET
JEE Main
Other eligibility criteria
Candidate who have passed Diploma in Engineering & Technology & obtained at least 45% marks (40% marks for Backward class, EWS & PWD candidates belonging to Maharashtra State only) can also apply.
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Admission Process
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
Important Dates
ALL
MHT CET
JEE MAIN
Jul 2 - 12, 2026
MHT CET 2026 CAP Registration
Jul 3 - 13, 2026
MHT CET 2026 CAP Document Verification
Jul 6, 2026
JEE Main counselling round 3 allotment
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Cutoffs
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
3Gender
Quota
Category
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | - | 430809 | 412851 |
| 2 | - | 505543 | 543686 |
| 3 | 427215 | 294194 | 303149 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2023 |
|---|---|
| 1 | - |
| 2 | - |
| 3 | 427215 |
MHT CET round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2023 |
|---|---|---|
| 1 | 43.32 | - |
| 2 | - | 68.94 |
| 3 | 75.94 | - |
MHT CET round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | - | 67.86 | 68.49 |
| 2 | 3.22 | 60.13 | 46.62 |
| 3 | 39 | 62.9 | 64.35 |
| 4 | - | - | 66.38 |
MHT CET round-wise cutoff Rank: (OBC-All India)
| Round | 2022 | 2023 |
|---|---|---|
| 1 | 43.32 | - |
| 2 | 48.94 | 68.94 |
| 3 | 75.94 | - |
MHT CET round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | - | 60.13 | 56.5 |
| 2 | 12.7 | 45.46 | 25.97 |
| 3 | 11.72 | - | 63.65 |
Other courses offered by GVAIET
Get best suited colleges for you in real-time
Here’s how it works:
Share your preferences with our assistant
Tell us about your city, course, budget & more
Get recommendations in no time
Discover best colleges that meet all your needs
It won’t take more than a minute!
Read B.E. / B.Tech reviews from GVAIET
Read ReviewsCompare Courses From Similar Colleges
Similar courses in the same city
₹8 L
Overall Rating4.5
4.5₹22.68 L
Overall Rating4.1
4.1₹60 K
Overall Rating4.2
4.2₹16.08 L
Overall Rating3.8
3.8₹14 L
Overall Rating4.0
4.0₹12.17 L
Overall Rating4.2
4.2₹60 K
Overall Rating4.0
4.0B.Tech. in Artificial Intelligence and Data Science
Offered by Thakur College of Engineering and Technology₹5.57 L
Overall Rating3.9
3.9₹7.21 L
Overall Rating4.4
4.4
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
Student Forum
Anything you would want to ask experts?Content authored by:
Colleges in MumbaiG.V. Acharya Institute of Engineering and TechnologyCoursesB.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET News & Updates
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
Latest
Popular
Jasleen Taneja · Jul 3, 2026
24.4K views · 5 comments
Samridhi Mishra · Jul 2, 2026
29.5K views
Anangsha Patra · Jul 1, 2026
8.5K views
Anangsha Patra · Jun 30, 2026
7.8K views
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at GVAIET Contact Information
B.E. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at GVAIET
Address
Opp Shelu Suburban Railway Station. taluka-Karjat,
Mumbai ( Maharashtra)
Phone
7208946222
(For general query)
7400140009
(For admission query)
Go to College Website ->
Useful Links
Know more about GVAIET
Know more about Programs
- Engineering
- B Tech (Bachelor of Technology)
- Food Technology
- Instrumentation Technology
- BTech Chemical Engineering
- AI & ML Courses
- Aeronautical Engineering
- BTech Petroleum Engineering
- Petroleum Engineering
- VLSI Design
- MTech in Computer Science Engineering
- Metallurgical Engineering
- BTech Robotics Engineering
- BTech in Biotechnology Engineering
- Aerospace Engineering