B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.2 /5- A+ NAAC accredited
- Private Institute
- Estd. 2004
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
The B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a UG level programme offered for 4 years by PSIT Kanpur. The total fee structure for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur includes several components, such as tuition, hostel charges, one-time fees, etc. Additionally, PSIT Kanpur has 180 seats for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning), and to confirm the seat in this course, students are required to pay PSIT Kanpur B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees. Refer the page to know more about B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) offered at PSIT Kanpur.
Total Tuition Fees | ₹4.37 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website  |
Seat breakup | 180 |
Type of University | Private |
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 PSIT Kanpur Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Pranveer Singh Institute of Technology (PSIT Kanpur) B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee is a sum of multiple components, including the tuition fees, hostel fees, one-time fees, enrolment fees, examination fees, etc. However, there may be additional charges that students might be required. At Pranveer Singh Institute of Technology (PSIT Kanpur), INR 4,37,184 is the total tuition fee for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). Here is more information about the Pranveer Singh Institute of Technology (PSIT Kanpur) B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fee division:
| Fee components | Amount (4 years) |
|---|---|
₹ 4.37 Lakh | |
The Meal Plan is not included in the mentioned fee. | ₹ 4.40 Lakh |
₹ 8.77 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
Video stories
- Eligibility & Cut Offs
S
Shaivee Jain 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.8
4Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Placements and the infrastructure are good. Faculty is nice and supportive.
Placements: The overall placement performance is quite good, especially for branches like CSE and IT. The placement percentage usually stays around 80–90 percent. The highest package offered in recent batches has 45–50 LPA. They are usually achieved by top-performing students in companies like Amazon and other reputed tech firms. The average package for most students is around 6–7 LPA, depending on the branch. PSIT attracts recruiters every year. It includes companies like TCS, Wipro, Infosys, and Capgemini. Internship opportunities are also available.
Infrastructure: Wi-Fi is available on campus, and labs are good. The library is also good. Classrooms are bring-your-own-device, so students bring their own devices and work on them. Mess and canteen food are very edible. Sports and games are organized by clubs on time. A dispensary is also available.
Faculty: Teachers here are experienced and knowledgeable. The course is very relevant to the industry. Teachers provide information about the course and technical knowledge to students, and practicals are also conducted. Semester exams are of medium to difficulty. Around 75% of students pass.
Other: I chose this course because I want to work in a dynamic tech environment. Coding is the best thing. Coding events and fests are also organized by clubs.
Reviewed on 26 Nov 2025Read More
D
Devanshu Gupta
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
Satisfied with the infrastructure and college.
Placements: As far as I have come to know. The placement records are better than those of any other private colleges. PSIT has a decent placement record, especially for an AKTU-affiliated private college. In recent years, more than 300 recruiters have come to campus. The 2025 placement drive saw about 2,640 job offers. The highest package recorded is quite high, up to 51 LPA in 2025. However, that kind of package is probably for very few top performers.
Infrastructure: I'm residing in a hostel, and the infrastructure is really very good. The hostel facilities at PSIT are overall quite good, especially if you are looking for a disciplined and comfortable living environment. Rooms are well-maintained, cleaned regularly, and the overall campus feels very safe due to tight security and clear rules. The atmosphere is peaceful, which helps a lot during exam time. The mess food is decent. Not perfect every day, but hygienic and better than what many colleges offer. They try to maintain variety, and weekends usually have slightly better meals. Laundry and housekeeping services are reliable.
Faculty: The faculty at PSIT is generally considered one of the strongest pillars of the institute. Most teachers are well-qualified and have a solid command of their subjects, especially in the core branches. They use clear explanations, real-life examples, and structured notes that make even difficult topics easier to understand. Many faculty members are supportive and approachable outside class, too, helping students with doubts, projects, and exam preparation.
Reviewed on 23 Nov 2025Read More
A
Aditya Singh
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
1.8
2Placements4Infrastructure1Faculty1Crowd & Campus Life1Value for Money
Dissatisfied due to placements, overcrowding, and attendance policy.
Placements: Said placement percentage is 176 percent and 117 percent, but reality is very different from this, the packages are around 3 to 5 LPA. Not a single company comes for an internship, almost 95% students don't get any kind of internship. Top companies that come to campus are HCL Tech, TCS, and EPM, which came this year.
Infrastructure: Infrastructure, whether in the case of college premises or hostel, is good, no doubt, but compared to the crowd they are admitting every year, it is really small. It won't be an overstatement if I may say that in lunch hours, there's not even that much space on the campus to comfortably walk around. The maximum number of students the college can accommodate is around 3000, but there are more than 12000 students studying here. No upgradation in campuses, not making any other building to resolve this issue, all they are doing is investing in a hostel so more students can come.
Faculty: Faculties are really bad, not able to complete the syllabus, even when this particular college opens 2 weeks before any other college in UP and closes 2 weeks after. Some trainers who come occasionally from Bangalore are good, but the faculty members are really trash.
Other: I chose this course because it was in trend. Things that can improve are the attendance percentage criteria, which is 95% right now, otherwise, they will not allow you to sit in campus placements.
Reviewed on 7 Sep 2025Read More
D
Dhruv Talwar
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4
3Placements5Infrastructure4Faculty4Crowd & Campus Life4Value for Money
Placements are really at peak right now, with good infrastructure.
Placements: Placements are decent. Our college has a tie up with some companies like TCS, Capgemini, and more. Right now, the current 4th year batch is getting good placement opportunities, but the cutoff is very high for clearing that. 4 to 5 rounds are being conducted for one role.
Infrastructure: Infrastructure is actually good. When you enter the admin office, you will notice that it has a vast infrastructure. The admin building has 6 floors, of which the 6th floor is the main attraction right now because it has a glass floor, but right now, we are not allowed to go there.
Faculty: Some faculty members are good, and some are average. There are regular hackathons, so you can learn a lot with this and even discuss that hackathon, but if you have a good teacher, then surely you will enjoy doing that. So faculty members are also supporting.
Reviewed on 6 Sep 2025Read More
N
Nilansh Mishra
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4
4Placements5Infrastructure4Faculty3Crowd & Campus Life4Value for Money
Best infrastructure in north India.
Placements: Only 60% got placed in my course. The highest package is 20 LPA and the lowest is 3 LPA. Companies included TCS, Accenture, etc. The developed (skilled) students got most of the seats in placement. Most got internships in the 3rd year from off-campus on their own. The college only guides us.
Infrastructure: Infrastructure is awesome because the campus has a total air conditioning facility, including the hostel. The library has almost all the books we need for our progress. Hostel food is okay, but the laundry and LAN are very beneficial for us.
Faculty: Teachers are really good, as maybe I got the best teachers. They can guide us and provide mentorship for different projects. They complete the full syllabus on time, and doubts are also clarified without any hesitation. Even if we don’t want to learn, they can teach us better.
Other: I chose this course because I love to learn about AI. But I think more LAN sessions would provide us with better knowledge of machines and AI.
Reviewed on 12 Jun 2025Read More
View All 21 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Q: What are the career prospects after BTech AI and ML?
A:
As an BTech in AL ML graduate, you can find career options in
- Machine Learning Engineer
- Data Scientist
- AI Engineer
- Data Analyst
- Software Developer (AI)
- Research Scientist
- Robotics Engineer
Know more about -
AskShikshaGPT on App
Q: What is the salary of BTech in AI graduates in India?
A:
The table below gives a detailed idea of the top B Tech Artificial Intelligence colleges in India with their average placement package and the prominent recruiters
College Names | Average Placement Package | Top Recruiters |
|---|---|---|
INR 15 LPA | Microsoft, Adobe, Morgan Stanley, Bajaj Auto, etc. | |
INR 21 LPA | Google, Deloitte, Accenture, Oracle, Paytm, etc. | |
INR 6 LPA | Microsoft, Google, Amazon, HCL, IBM, TCS, etc. |
Disclaimer: This information is sourced from the official website/ media reports/ NIRF website and may vary.
READ MORE: Career after BTech
AskShikshaGPT on App
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JEE Main
JEE Main
Want to know more about PSIT Kanpur Scholarship details?
Read about Scholarship
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
| Particulars | Statistics (2025) |
|---|---|
| Highest Salary | INR 51.00 Lakh |
| Median Salary | INR 4.00 Lakh |
Top Recruiters for PSIT KanpurDeloitte
Flipkart
Goldman Sachs
Google
IBM
Lupin
Microsoft
Morgan Stanley
Ola Cabs
PayPal
UBER
Wipro
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Requirements for 12th grade
- N/A
Candidate must have passed 10+2 examination from any recognised board.
UPTAC
JEE Main
Other eligibility criteria
Candidate must have passed class 12th or equivalent by the AIU or Intermediate or 2-year Pre-University exam conducted by a recognized Board/ University with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/ Technical Vocational subject.
Candidates must have passed class 12th/equivalent examination in 2023, 2024 or appearing in 2025.
There is no age limit for the candidates.
Candidate with below mentioned eligibility are also eligible:
Final examination of the 2-year course of the Joint Services Wing of the NDA.
SSC Examination conducted by the NIOS with a minimum of 5 subjects.
A Diploma recognized by AICTE or a State board of technical education of at least 3 year duration.
2024 onwards Dr. APJ Abdul Kalam Technical University (AKTU), Lucknow will be using the score sheet of JEE (Main) for admission instead of UPCET (Earlier UPSEE).
For more detail, visit - https://jeemain.nta.nic.in/eligibility-criteria/
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Important Dates
ALL
JEE MAIN
UPTAC
Jan 15, 2026
JEE Main 2026 photo verification certificate upload last date (for non-aadhaar candidates)
Jan 20, 2026
JEE Main Admit Card 2026 Session 1Tentative
Jan 21 - 29, 2026
JEE Main 2026 Exam Date Session 1
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
3Gender
Quota
Category
JEE Main round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 752914 | 451731 | 362831 |
| 2 | 536537 | 521263 | 367303 |
| 3 | - | 577808 | 388388 |
| 4 | - | - | 393622 |
JEE Main round-wise cutoff Rank: (General-Home State)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 761736 | 599542 | 497838 |
| 2 | 875831 | 874860 | 585201 |
| 3 | - | 1018490 | 1304384 |
JEE Main round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 1415853 | 752914 | 451731 |
| 2 | 757223 | 536537 | 521263 |
| 3 | 744892 | - | 577808 |
| 4 | 744892 | - | - |
JEE Main round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 | 2024 |
|---|---|---|
| 1 | 990414 | 937526 |
| 2 | 1021066 | 1233241 |
UPTAC round-wise cutoff Rank: (General-All India)
| Round | 2022 | 2023 | 2024 |
|---|---|---|---|
| 1 | 752914 | 451731 | 362831 |
| 2 | 536537 | 521263 | 367303 |
| 3 | - | 577808 | 388388 |
| 4 | 638599 | - | 393622 |
UPTAC round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 599542 | 497838 | 380497 |
| 2 | 874860 | 585201 | 396320 |
| 3 | 1018490 | 1304384 | 472944 |
| 4 | - | - | 478327 |
UPTAC round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 1415853 | 752914 | 451731 |
| 2 | 757223 | 536537 | 521263 |
| 3 | 744892 | - | 577808 |
| 4 | 744892 | 638599 | - |
UPTAC round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 990414 | 937526 | 608635 |
| 2 | 1021066 | 1233241 | 700096 |
| 3 | - | - | 801856 |
| 4 | - | - | 819252 |
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3.8B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Q: Are there any electives offered in a BTech in AI program?
A:
Colleges offer electives in specific areas of AI
- Big Data
- Cloud Computing
- Computer Graphics
- Human-Computer Interaction
- Big Data Analytics
- Cybersecurity
- Data Analytics
- AI, Neuroscience, and Natural Intelligence
Know more about -
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at PSIT Kanpur Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at PSIT Kanpur
Address
Pranveer Singh Institute of Technology, National Highway (NH-19), Kanpur, Bhautipratappur
Kanpur ( Uttar Pradesh)
Phone
8004233555
(For general query)
7670998888
(For admission query)
Email
Go to College Website ->
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