B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.0 /5- Private Institute
- Estd. 2005
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 AITR Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a 4 years course offered at Acropolis Institute of Technology and Research at the UG level. B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) tuition fee is INR 1,67,200. An additional one-time admission and registration fee also needs to be paid. The total seat intake for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is 120. Students can check B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) details in this space:
Total Tuition Fees | ₹1.67 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 120 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
Acropolis Institute of Technology and Research B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is the total of various components, such as the Tuition Fees, One-Time Fees, Registration Fees, Exam Fees, etc. In addition to this, students might be required to pay extra charges specific to the institution. The total tuition fee for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Acropolis Institute of Technology and Research is INR 1,67,200. Candidates can check the table below to learn more about Acropolis Institute of Technology and Research B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee breakup:
| Fee components | Amount (4 years) |
|---|---|
Mentioned fee is for Accredited branches.
The fees might include components other than tuition fees.
Mentioned fee is as per Admission and Fee Regulatory Committee (AFRC), MP. | ₹ 1.67 Lakh |
₹ 1.67 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
Stories
- Courses & Fees
S
Satish Gupta 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.6
5Placements3Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Nice college by environment and placements, but you need to work too.
Placements: Around 50%-55% of students got placed. The highest package offered this year is 12 LPA and the lowest is around 3.3 LPA. Top recruiting companies are Accenture, Bajaj Finserv, TCS, Wipro, and Capgemini. You can get internships in the 3rd year, or if you want to, you can do it on your own. Top roles offered are event management, coding, hackathon, etc.
Infrastructure: Infrastructure is nice, not so good, not so bad, it's like it's simple, not so fancy, but the environment is hygienic. ACs are installed in labs, not in classrooms. Library is good, but it has less space and is a bit crowded at exam times. The food is also good compared to the price.
Faculty: Teachers who are experienced mostly have been working from the start of college. In 1st year, we didn't study anything that was relevant to our course, it was too basic. Semester exams are moderate, and if you understand the concept, you can clear them without any difficulty.
Reviewed on 19 Jun 2025Read More
S
Sarvesh patil
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.8
5Placements5Infrastructure5Faculty5Crowd & Campus Life4Value for Money
Review of Acropolis Institute of Technology and Research.
Placements: In my course, 75% of students get placed in my course. The highest package in my branch is 15 LPA and the lowest package in my branch is 6 LPA. Many companies visit the college to hire students from my course. The role offered is artificial intelligence and about how the machine works.
Infrastructure: There are many facilities in my college such as a water cooler on every floor, Wi-Fi in every room, and every department has a special lab and manual in one classroom. There are 70 students in the classroom. It also has a library and it gives us a library card for books.
Faculty: Acropolis Institute of Technology and Research has a lot of good teachers. They are well-experienced and knowledgeable. They teach very well to clear exams. There is a great race in my class. 80% of students pass semester exams.
Other: I chose this course Artificial Intelligence and Machine Learning because it is a fascinating field that has transformed the way we live and work. I chose it for bright career prospects and good compensation. Scholarships are available.
Reviewed on 15 Jun 2025Read More
S
Sachin verma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.2
4Placements4Infrastructure4Faculty5Crowd & Campus Life4Value for Money
Good for students who are serious about studies and have average placement like 4 LPA-5 LPA.
Placements: I can't tell the placement percentage ratio but as I have seen the percentage is around 50%-60% depending on which branch you are. The highest in my branch is something 12 LPA from 3rd year and there are more students who get placed so it is difficult to tell. Top recruiting companies are Capgemini, Accenture, Bajaj, TCS, etc. Internship depends on your own.
Infrastructure: Infrastructure is okay, labs are good, but infrastructure is old fashioned, with no design, etc., only buildings which have 3 floors. Canteen is also good but sometimes too crowded during the examination, there should be AC in every class as per the fees they are charging.
Faculty: I am in 2nd semester, and till now faculty is all good. They all are experienced more than 15 years old and some of them are from started college and they all are good at what they teach. Now, I can't tell whether their teaching is relevant or not because everything is basic but good. Semester exams are average not tough not easy it depends on how you prepare.
Reviewed on 5 Jun 2025Read More
A
Ansh Pal
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.6
3Placements3Infrastructure4Faculty3Crowd & Campus Life5Value for Money
It's the perfect college if you really want to study to get placed.
Placements: The highest package offered is 22 LPA. The lowest package is 4 LPA, and the average package is 7.5 LPA. The percentage of students getting internships is around 40%. Top roles offered are AI developer and AI testing with specialisation, and there could be many roles offered. Around 60% of the students get placed in the field.
Infrastructure: The infrastructure is not too good as the buildings are not at the same level. They have some differences in their heights. There is no Wi-Fi available for the students and even for the teachers, it is not up to the mark. The library is good, its infrastructure is good but its too small.
Faculty: Faculty members are perfect for the course at the institute. They provide full support to everyone but there is a catch sometimes, they differentiate between students because of the clubs. The exams are good they give enough time but the timetable for the exam that comes from RGPV is the worst.
Reviewed on 27 Feb 2025Read More
A
Abhas Jaiswal
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.4
4Placements4Infrastructure5Faculty5Crowd & Campus Life4Value for Money
College has a good package offering.
Placements: The placement percentage is around 70% in my college. Companies that come to hire students in my college like TCS, Cognizant, Deloitte, etc. Companies offer a package starting from 3.5 LPA to 12-13 LPA. Around 80% of students get internships. College has CDC which helps students with interns and placement assistance. Proper mock interview practices are given. Top roles offered are software engineer, network engineer, mechanical engineer, civil engineer, business engineer and analyst, cyber security analyst, etc.
Infrastructure: It's a totally anti-ragging college with good maintenance. It is one of the cleanest colleges in Indore. It provides numerous labs and facilities which are not available in any colleges of Indore. The infrastructure is good and well-maintained. There are Wi-Fi issues. The classrooms are big and good air passage is provided. Library provides books and related information and it is big. The college doesn't provide any hostel. The food in the canteen is of good quality and good taste. Medical facilities are average. There are games and sports facilities like cricket, football, volleyball, badminton, chess, table tennis, etc.
Faculty: Teachers are really good. They are all qualified in their respective fields. The teaching quality is good. Not much students fail KM university exams. The things taught by the teachers are enough to score good in exams. All study materials are provided. The teaching curriculum is good and it makes students fit for industry. The university exams in the college are not all that tough it is somewhere between average and tough. Good students really score good, above 8.5 and 9. The passing percentage is really impressive. It's about 85-90%.
Other: I chose the course after seeing the industry demand. As I see it as a growing and demanding industry. The best thing about my course is the salary hike. Something I can improve in my course is more number of classes and improved content, more information. Industrial outrage should be given, the students should be kept informed and in touch with the industry. The college organises awesome fests the whole year. The college annual fests and sports fests are the main and most exciting. Moreover, there are international conferences and various seminars organised for the students' welfare.
Reviewed on 27 Feb 2025Read More
View All 26 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
Q: What is the median salary of B.E. / B.Tech course available at Acropolis Institute of Technology and Research?
A:
As per information available, R B Mundada College of Arts, Commerce and Science has recorded (aprx) INR 371,000 median salary to students for B.E. / B.Tech course during placements.
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Q: What can students 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 latest expected JEE Main cutoff for the year?
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 |
Q: Is Acropolis Institute of Technology and Research a good college/Institute?
A:
Acropolis Institute of Technology and Research is a reputed institute for BCA, B.Tech, MBA/PGDM, M.E./M.Tech, UG Diploma, MCA, After 1th Diploma. Students can opt these programs to pursue their career in IT & Software, Engineering, Business & Management Studies. Institute has trained & experienced faculty who deliver these programs. Acropolis Institute of Technology and Research has a review rating of 4 on the basis of reviews by students. In addition to this, it has been rated 4.1 on campuslife, 3.8 on placements, 4 on faculty and 3.9 on Infrastructure.
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
| Particulars | Statistics (2021) |
|---|---|
| Median Salary | INR 3.71 Lakh |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
JEE Main
MPPET
Other eligibility criteria
Candidate must have passed 10+2 or equivalent examination from a recognized school/board.
For Lateral Entry-Candidate must have passed Diploma in relevant stream from a recognized Institute.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
Important Dates
ALL
JEE MAIN
Mar 28, 2026
JEE Main 2026 Admit Card Session 2Tentative
Apr 2 - 9, 2026
JEE Main 2026 Exam Date Session 2
Apr 20, 2026
JEE Main 2026 Result Date Session 2Tentative
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
3Gender
Quota
Category
MP BE round-wise cutoff Rank: (General-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 306980 | 345516 | 324572 |
| 2 | 151711 | 201509 | 307442 |
MP BE round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 460284 | 336466 |
| 2 | 229853 | 245900 |
MP BE round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 444974 | 472443 | 461458 |
| 2 | 205811 | 155598 | 256724 |
MP BE round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 745875 | 508116 |
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 306980 | 345516 | 324572 |
| 2 | 151711 | 201509 | 307442 |
JEE Main round-wise cutoff Rank: (General-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 302724 | 336466 |
| 2 | - | 245900 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 444974 | 472443 | 461458 |
| 2 | 205811 | 155598 | 256724 |
JEE Main round-wise cutoff Rank: (OBC-Home State)
| Round | 2024 | 2025 |
|---|---|---|
| 1 | 514516 | 508116 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
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at AITR
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at AITR Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at AITR
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