B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
3.7 /5- Private Institute
- Estd. 1993
3.5
3.7
4.0
3.7
3.5
S
Shivansh Rajbhar 
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2025
4.8
A good college provides not just academic knowledge but also supports physical and personal growth.
Placements: In our 2021–25 BE Computer Science batch, 75% of students got placed. The highest package is 7.2 LPA, the lowest 2.4 LPA, and the average 3.6 LPA. Top recruiters included TCS, Infosys, and Wipro. Around 60% secured internships in roles like Junior data analyst and developer.
Infrastructure: Colleges provide a cool and peaceful library environment where students can focus on their studies. The library usually includes a wide collection of academic books, magazines, and online resources, becoming a hub for self-learning and exam preparation.
Faculty: Most colleges have almost the same courses because they follow the syllabus set by their affiliating university. This ensures that students across different colleges receive a uniform and standardized education. The content may be the same, but the way it is taught can differ.
Other: Sports activities are conducted every year and are an essential part of college life. They help students stay active, healthy, and mentally refreshed. Sports also build discipline, teamwork, and leadership skills among students.
Reviewed on 26 Jul 2025Read More
S
Sunny Yadav
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2025
2.6
Good faculty, poor placement in 2025, average infrastructure, well-equipped labs, and library.
Placements: In computer branch (including CS, IOT, AIML), only top 3 to 4% students got placement from college in 2025. Package students got, highest and lowest on average, will be 2.5-3.5 LPA. Companies like Galaxy, Capgemini, and other 2 to 3 came. No one got an internship in my course and branch at any company. Top role offered, particularly in my course, was none. Because no one got placed in my class.
Infrastructure: Labs and libraries have Wi-Fi and are well-equipped, but no AC. Classroom are also good, but there is no Wi-Fi or AC in classroom. Cameras are everywhere on whole campus. There is no hostel facility in college. There is a canteen, and it's average. You can get all snacks, fast foods, and lunch.
Faculty: Teachers are good, qualified. Overall, they have average knowledge, only a few of them have great knowledge. Only 10 to 20% course curriculum is relevant, and rest is useless when it comes to industry-level and expectations. Exams are like normal exams, and teachers support and help in studies for exams. So it's overall good. Pass percentage is also 95 to 98%.
Other: I took admission in 2021, when IT industry was at its peak, so I preferred this course. But after 4 years, industry is in a worse condition as far as I know till now, i.e, 2025. To improve my course, important thing is curriculum structure, curriculum should be redesigned, removing theoretical knowledge and adding some practical and coding. Current curriculum is nothing like today's industry demands. Events, Fest, and hackathons are organized, and government scholarships are also applicable in college. The only thing is that college doesn't give much funding to students, they have to go for cheap.
Reviewed on 15 Jul 2025Read More
P
Pranav Nikam
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
3.2
Strong Placement Opportunities with Supportive Faculty, but Infrastructure needs Improvement.
Placements: The highest salary is 12 LPA and the average is 5.5 LPA. Top recruiting companies are Capgemini, Paytm, Jio, LTI, and TCS. Approximately 60% get internships from our course. Top roles offered are Software Developer, Data Analyst, Web Developer, Network Engineer, and Testing Engineer.
Infrastructure: The college library provides access to reference books but does not stock textbooks like Techmax. Students can borrow up to three books at a time from the library. However, students belonging to the SC/ST category are eligible to receive a complete set of books for the semester from the library. Labs are good but no ACs are there which will reduce the lifespan of PCs. No hostel is there in this college. Canteen is there which is decent.
Faculty: Qualified, helpful, and knowledgeable with good teaching quality focused on practical and theoretical learning. Industry relevant, prepares students for jobs with emerging trends and technologies. Moderate difficulty as papers are set by Mumbai University. Pass percentage is 80%.
Other: I am pursuing CSE (AI/ML) 2026. Best aspects are industry-relevant curriculum, skilled faculty placements, and hands-on projects. Improvement is needed in the updated syllabus, better labs, and more industry interaction. Campus life includes events like IGNITE Techfest and NSS activities. The crowd is average, I would say, and scholarships are provided to categories through Maha DBT.
Reviewed on 13 Dec 2024Read More
View more 6 Reviews
B.Tech. 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.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Overview
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
Smt. Indira Gandhi College of Engineering offers a 4 years B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) course at the UG level. A total of 60 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 3,85,156. Find out more about other courses under Smt. Indira Gandhi College of Engineering B.E. / B.Tech.
Total Tuition Fees | ₹3.85 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
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 SIGCE Fees
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
The total tuition fee for Smt. Indira Gandhi College of Engineering B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) is INR 3,85,156. 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 Smt. Indira Gandhi College of Engineering fee to confirm their seat in the institute. Below is fee breakup for Smt. Indira Gandhi College of Engineering B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning):
| 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. | ₹ 3.85 Lakh |
₹ 3.85 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 SIGCE Frequently Asked Questions
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
S
shivanand Pal
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2028
4.4
4.0Placements4.0Infrastructure5.0Faculty5.0Crowd & Campus Life4.0Value for Money
Very much satisfied with the college
Placements: Here placement percentage is 90 percent that means you have more chances of getting placed in campus, however the average package is of 5.8 LPA. Also the top recruiter are Hitachi and TCS previously Mahindra group also recruited 15 students. The highest package of previous year was 13 LPA.
Infrastructure: Great infrastructure all the tools and machinery for learning are available.2 seminar halls however hostel is not available inside the campus. The main fest of the college is ignite where you can see celebrities also we have tech fest two times in a year.
Faculty: Here faculties are very supportive understanding and always help you in both exams and co circular activities. The facilities are well educated and have almost 15 patient they have good teaching strategies. The teachers are young so you can feel free to ask them about all your queries.
Other: The main fest of the college is ignite and that is so beautiful celebrities come in college. You can also get a chance to perform on a stage per year two tech fest Is conducted.
Reviewed on 13 Oct 2024Read More
N
Nandini Pandey
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2024
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Wi-Fi access, nice library, not satisfied with outer infrastructure and lack of cleanliness.
Placements: Almost 50-60% of students get placed in companies like TCS, Wipro, and Capgemini. The highest package of our college is 12 LPA. On the part of Internship, yes you get it from the college but surely if you want to land your internship at some good company then you have to work hard for it by yourself.
Infrastructure: Infrastructure is not that good for our college, but only for classrooms. Our labs and library are too much good we sit there most of the time also you get access to Wi-Fi from the college, Our college still doesn't have any canteen or mess but is pretty active in sports.
Faculty: Our faculty members are moderate they can make you understand everything whatever you want to know from textbooks, our course is affiliated to MU so it is relevant only also you can pass the semester exams easily as faculty members of our college are very supportive.
Other: I have chosen this integrated course because this is new emerging technology in today's world and I can make good career out of it.
Reviewed on 4 May 2022Read More
(1) 1 person found this helpfulS
Sneha
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
3.0
4.0Placements3.0Infrastructure3.0Faculty3.0Crowd & Campus Life2.0Value for Money
Smt. Indira Gandhi College of Engineering (not a great choice for your engineering degree).
Placements: Placements are somewhat good, but the college did not provide training or placement preparation, and there were no updates on any industrial visits. Now that the college has become autonomous.
Infrastructure: Infrastructure is mid. The classrooms for second, third, or fourth year are also mid. The cleaning staff also have an attitude of sorts. The staff on our floor once said, "Sit in this garbage environment," because the boys of our class had kept the benches out of place. Also, I've seen only the first-year cleaning staff doing their duties on time. Overall, very mid.
Faculty: Faculty is, I'd say, good. The curriculum is good. One thing I'd say is they don't make you industry-ready. Theory isn't the only thing that will make you industry-ready. The teachers don't make you aware of the industrial environment, and no practical advice is shared at all.
Other: Curriculum doesn't really focus on practical learning; most of the practical labs are just brushed off, and I don’t know, but nobody seems to take labs seriously, not even the faculty.
Reviewed on 26 Jul 2025Read More
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B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
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B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Entry Requirements
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
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.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Admission Process
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
Important Dates
ALL
MHT CET
JEE MAIN
Jul 23 - 25, 2026
MHT CET 2026 Provisional Merit List Grievance Window
Jul 22 - Aug 18, 2026
JEE Main CSAB special counselling
Jul 27, 2026
MHT CET 2026 Final Merit List
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Cutoffs
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
3Gender
Quota
Category
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 131366 | 154788 | 158780 |
| 2 | 160299 | 167321 | 179564 |
| 3 | 155906 | 168169 | 110949 |
| 4 | - | - | 157374 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2023 |
|---|---|
| 1 | 131366 |
| 2 | 160299 |
| 3 | 155906 |
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B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Contact Information
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
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