B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
3.7 /5- Private Institute
- Estd. 1993
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 provides UG level courses across various specialisations, one of them is B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning). The duration of the programme is 4 years. After pursuing B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) course from Smt. Indira Gandhi College of Engineering, candidates are offered lucrative job opportunities in the top industries of the field. There are a total of 60 available for B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning). The institution accepts the scores of MHT CET exam for admission to the course. Check the following section for more details around Smt. Indira Gandhi College of Engineering B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) fees, admission and more.
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
Smt. Indira Gandhi College of Engineering B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) fee is inclusive of multiple components, such as Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. Candidates have to pay the course fee to confirm their seat. The total tuition fee for B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at Smt. Indira Gandhi College of Engineering is INR 2,87,772. Detailed breakup of the Smt. Indira Gandhi College of Engineering B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) fee is as follows:
| 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
Video stories
- Eligibility & Cut Offs
S
Shivansh Rajbhar 
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2025
4.8
5Placements5Infrastructure5Faculty4Crowd & Campus Life5Value for Money
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
P
Pranav Nikam
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2026
3.2
3Placements3Infrastructure4Faculty3Crowd & Campus Life3Value for Money
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
(1) 1 person found this helpfulS
shivanand Pal
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) - Batch of 2028
4.4
4Placements4Infrastructure5Faculty5Crowd & Campus Life4Value 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
4Placements4Infrastructure4Faculty4Crowd & Campus Life4Value 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
4Placements3Infrastructure3Faculty3Crowd & Campus Life2Value 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
View All 6 Reviews
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
Q: What to do after JEE Main session 2 result?
A:
After JEE session 2 is completed, only those candidates who are aiming for IITs need to start preparing for JEE Advanced after clearing JEE Main. Those who are above the 98th percentile should start preparing for JEE Advanced as soon as possible. Those below this, between the 95th and 98th percentile, should focus on attempting more mock tests and previous year question papers so that they have a better chance of clearing JEE Advanced
Q: What is the fee range for the courses offered at Smt. Indira Gandhi College of Engineering?
A:
The fee bracket for programs offerred by the Smt. Indira Gandhi College of Engineering is approximately INR 282372.
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Q: How many seats are available at Smt. Indira Gandhi College of Engineering for all courses combined?
A:
The overall seats available across all courses offered by Smt. Indira Gandhi College of Engineering is up to 966. Good thing to know is that Smt. Indira Gandhi College of Engineering has courses which are approved by prominent Government bodies like AICTE.
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Q: How can I get into Smt. Indira Gandhi College of Engineering for UG/PG courses? Am I eligible for admission?
A:
Smt. Indira Gandhi College of Engineering has below criteria for taking admissions to it's various courses:
| Courses | Eligibility |
|---|---|
| B.E. / B.Tech | 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. |
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Q: What is the expected JEE Main cutoff 2024?
A:
NIT Manipur JEE Main cutoff 2024 has been released for admission to the BTech courses. During the Round 1 cutoff, the closing rank for CSE was 25886 for the General category students under the AII India Quota. Among OBC candidates, the closing rank for B.Tech. in Computer Science and Engineering stood at 8750. Candidates seeking admisison to NIT Manipur can refer to the table below to check out the Round 1 closing ranks for BTech in CSE course for various categories under the AI quota:
Category | JEE Main 2024 Expected Cutoff |
|---|---|
Common Rank List | 90-91 |
Gen-EWS | 75-76 |
OBC-NCL | 73-74 |
SC | 51-52 |
ST | 37-38 |
PwD | 0.0013527 |
Download exam sample paper
JEE Main
JEE Main
MHT CET
Want to know more about SIGCE Scholarship details?
Read about Scholarship
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
Jan 21 - 29, 2026
JEE Main 2026 Exam Date Session 1
Jan 10 - Feb 12, 2026
MHT CET 2026 Application Form for PCM and PCB
Jan 26 - Feb 15, 2026
JEE Main 2026 Registration Session 2Tentative
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 | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 312433 | 275761 | 131366 |
| 2 | 325680 | 172315 | 160299 |
| 3 | - | - | 155906 |
MHT CET round-wise cutoff Rank: (General-All India)
| Round | 2020 | 2021 |
|---|---|---|
| 1 | 34.33 | 72.59 |
| 2 | - | 54.09 |
MHT CET round-wise cutoff Rank: (General-Home State)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 69.04 | 80.63 | 87.28 |
| 2 | 67.45 | 71.99 | 86.08 |
| 3 | 76.7 | 86.98 | 86.78 |
MHT CET round-wise cutoff Rank: (OBC-All India)
| Round | 2020 | 2021 |
|---|---|---|
| 1 | 31.73 | 66.08 |
| 2 | - | 50.8 |
MHT CET round-wise cutoff Rank: (OBC-Home State)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 68.57 | 80.08 | 85.34 |
| 2 | 61.47 | 67.4 | 82.78 |
| 3 | - | - | 84.22 |
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3.6B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning) at SIGCE Students also asked
B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
Q: Does Smt. Indira Gandhi College of Engineering provide good placement facilities?
A:
Smt. Indira Gandhi College of Engineering has been rated 3.3 on placements on the basis of 31 reviews done by students.
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B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
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at SIGCE
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B.Tech. in Computer Science and Engineering(Artificial Intelligence and Machine Learning)
at SIGCE
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