

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- B NAAC accredited
- Public/Government Institute
- Estd. 1960
A
ALOK CHOUDHARY
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.0
Dissatisfied by Infrastructure, facilities, good placement and satisfied by teachers.
Placements: Firstly my batch of AIML in SATI is first batch so I don't know very much but from other batches I can tell that the placements are average or please do not accept this college to give placement of above 14 or 15 LPA, second the highest placement of my college is 18 LPA average placement is around 7 LPA and the lowest placement is around 3 LPA (all these is from courses of B.Teach in SATI, not a particular course). As I told you that this course is came in SATI this year.
Infrastructure: Firstly my course has not any department and infrastructure is below average (not considering for studying), library is in good condition, condition of hostel is average (I prefer to stay outside campus), food is also very bad, centeen has high price in every thing, sports and game are okay.
Faculty: Teaching of my course is good because of good teachers they are heplful and knowledgeable. Yes course curriculum is good, about exam of end sem they are asking good questions in it. The teaching is very good and they are conducting weekly quiz and gives informative question in assignment/assessment about the subject.
Other: I perfer not to involve in any type of Fight scenes. You will know the proper reason after coming to my college.
Reviewed on 1 Dec 2025Read More
K
kapil sharma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.6
For new AIML batch students .
Placements: I am from the first ever batch of B.Teach CSE (AI & ML) in my college, so official placement statistics for our course are not yet available. Since we are the inaugural batch, data such as placement percentage, the highest/the lowest/average package, internship rate, and special recruiters has not been released. However, based on trends from the gross CSE department, students normally receive opportunities from teach companies for roles like Software Engineer, Data Analyst, Full Sack Developed, and Cloud/DevOps roles.
Infrastructure: We have whole campus covered with Wi-Fi, we have 4 different labs for computer applications and major one in VVNC lab, our classroom is just simple structured with whiteboards system and we have library which contains atleast 70,000+ books for students to read but its sitting area is small
its just like normal hostel with some basic facilities. Mess is also good with no issues in food and canteen is good which contains some healthy and students friendly things to eat and drink. Well we have hospital and main railway station near our campus also.
Faculty: Some Teachers are helpful and approachable, they are well knowledgeable and their teaching quality is good but I don't know about other batches. The CSE (AI & ML) course curriculum is quite related because it includes modern technologies like machines learning, data Science, Python, and cloud related subjects, so overall it helps students become industry ready, especially if they stay consistent with projects and coding practice. Semester exams are loosely moderate not too easy but not extremely difficult. If students attend classes, understand the concepts, and prepare properly, they can score well. The pass percentage is commonly high.
Reviewed on 1 Dec 2025Read More
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SATI Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SATI
SATI offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. The course offers admission to 60 students. Check other courses of SATI B.E. / B.Tech.
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Seat breakup | 60 |
Type of University | Public/Government,Autonomous |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SATI Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SATI
Gender
Quota
Category
MP BE round-wise cutoff Rank: (General-All India)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 132985 | 143510 |
| 2 | 179229 | - |
MP BE round-wise cutoff Rank: (General-Home State)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 366054 | 340353 |
| 2 | 353699 | - |
MP BE round-wise cutoff Rank: (OBC-Home State)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 518889 | 438719 |
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 132985 | 143510 |
| 2 | 179229 | - |
JEE Main round-wise cutoff Rank: (General-Home State)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 366054 | 340353 |
| 2 | 353699 | - |
JEE Main round-wise cutoff Rank: (OBC-Home State)
| Round | 2025 | 2026 |
|---|---|---|
| 1 | 518889 | 438719 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at SATI Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at SATI
Address
Samrat Ashok Technological Institute, Civil Lines
Vidisha ( Madhya Pradesh)
Phone
07592250121
(For general query)
9826515525
(For admission query)
Email
director@satiengg.org
(For general query)
sati@satiengg.org
(For admission query)
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