B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.1 /5- A++ NAAC accredited
- Private University
- Estd. 2015
3.8
4.3
4.0
4.3
4.0
M
Mishva Boda 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
5.0
The campus and the opportunities are too good, and all the courses are affordable too.
Placements: We are in 1st year so no placements yet but a few students have been placed who have good skills in our senior. Recruiting companies like Microsoft, Capgemini, TCS, Cisco, Infosys, etc., come for engineering students' placement interviews and some students get their dream jobs with a good package.
Infrastructure: Labs, classrooms, Wi-Fi, and the library have so many facilities and are very good. Labs have a good internet connection and instruments are in very good condition. No idea about hostels because I am not staying in the university hostels. Canteens are pretty good.
Faculty: Teachers are very kind and helpful to students and well-qualified. The curriculum is very relevant and makes students industry-ready. Semester exams are not too easy or not too tough they are medium difficult. The passing percentage are 40 percent in every semester.
Other: Events and fests are amazing and very interesting every time. In every fests or events many celebrities and inspiring people come and inspire students.
Reviewed on 17 Feb 2026Read More
R
Riya Kumari
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.6
In a decent college, you have to do self-study, not only on what the faculty teaches.
Placements: In AIML, most students take admission as it is the most demanding course. A good number of students get placed, and you can also get internships. Companies like TCS, Capgemini, etc., come to our college during the placement period, and many students get placed in these companies.
Infrastructure: The hostel is decent. Wi-Fi speed is good. The food is below average in hostels. As for the classrooms and labs, both are good. You also have access to Sevashram Hospital for students. The check-up is free. You only have to pay for the tests and medicine.
Faculty: The curriculum is good. It does make you industry-ready. Exams are also good. If you study well, you can easily get a good score. However, about the faculty, some are good, and some are not. It depends on teacher to teacher. Sometimes I understand what they are teaching, and my friends don't, and sometimes my friends understand while I don't. Not all teaching styles are the same. Some students understand, and some don't.
Reviewed on 9 Feb 2026Read More
S
Sanvi Khot
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
3.8
It has academic faculty, curriculum, teaching standards, and an evaluation system.
Placements: Around 80-85 percent of students from the CSE AI ML course get campus placements. The highest package offered ranges from 50-60 LPA. The lowest package offered is 8 LPA. The average package offered ranges from 20-25 LPA. Top recruiting companies for our course are IBM, Microsoft, TCS, Infosys, etc. Generally, 70-80 percent of students secure internships in companies like Microsoft, Capgemini, IBM, etc. Mostly, roles like machine learning engineer, AI engineer, data scientist, etc., are offered here.
Infrastructure: The entire campus is Wi-Fi enabled with high-speed internet for academic use, including classrooms, labs, hostel rooms, library, and other common areas. There are modern laboratories with proper discipline, and well-equipped computer labs with thousands of systems. Classrooms are fitted with smart proper smartboards. There are multiple libraries with thousands of books according to courses and subjects. Hostels have well-equipped spaces with study areas and other access to events and so on. Hostels are clean and have proper Wi-Fi facilities in rooms. The hostel served three meals, breakfast, lunch, and dinner, with a pre-planned menu.
Faculty: Teachers are well-qualified and knowledgeable. Teaching quality is generally good. Many students find the course curriculum relevant to current industry standards. A common theme is that exams are moderately difficult, not too easy, but fair if we attend classes and study regularly.
Other: I chose this course because AI and ML are among the fastest-growing and future-oriented technologies. This course combines core computer science with modern technologies like data science and machine learning. This offers specialisation with good infrastructure, labs, and placement support, which makes it a suitable option for pursuing this field. More industry-oriented practical training and live projects should be included. Stronger industry tie-ups and internships could improve real-world exposure. Advanced AI tools could be increased. The university conducts technical fests and cultural festivals regularly. Students get opportunities to participate in coding competitions, hackathons, and cultural programs. There are also annual fests and inter-college competitions.
Reviewed on 7 Feb 2026Read More
View more 26 Reviews
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Table of contents
- Overview
- Fees
- Highlights
- Student Reviews
- Placements
- + 3 more items
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Parul University offers a 4 years B.Tech. in CSE (Artificial Intelligence and Machine Learning). The institute offers the course at the UG level in Engineering specialisation. A total of INR 6,44,000 needs to be paid as tuition fee. Students also needs to pay a hostel fee of INR 3,38,000. Students can check the Parul University B.Tech. in CSE (Artificial Intelligence and Machine Learning) details below:
Total Tuition Fees | ₹7.00 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Average package | ₹ 5.70 Lakh |
Application Link | Go to Website  |
Seat breakup | 60 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Parul University B.Tech. in CSE (Artificial Intelligence and Machine Learning) fee is collective of various components, such as the tuition fees, one-time charge, hostel fees, registration fees, examination fees, and other basis. However, there may be additional fees that students might be required to pay that are particular to the institution. At Parul University, the total tuition fee for B.Tech. in CSE (Artificial Intelligence and Machine Learning) is INR 6,44,000. Here is the information about the Parul University B.Tech. in CSE (Artificial Intelligence and Machine Learning) fee breakup:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees.
Fee for North East candidates will be Rs. 7,20,000/- | ₹ 7.00 Lakh |
Meal Plan is included in mentioned fee.
Hostel fee mentioned is for cheapest option available. For other options available, please refer to fee pdf. | ₹ 3.16 Lakh |
₹ 10.16 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
Stories
- Infrastructure
- Campus Life
- Hostel Life
- Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Highlights
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
- Applications’26 Open: Apply @ https://u.shiksha.com/SHKSHA/VtgBDTmy
C
Chaurasia Aditya Kumar
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Decent campus facilities, but needs improvement in teaching quality and placements.
Placements: 75 percent of students got placed from my course. 60 LPA is the highest, 7 LPA is the lowest, and the average package is 20 LPA offered in your course. Top recruiting companies for my course are Microsoft, AWS, Infosys, TCS, Capgemini, and ODOO. 80 percent of students got internships from my course and in companies like Microsoft, TCS, and Capgemini. Top roles offered in my course are Cloud Engineer, Software Engineer, Web Developer, etc.
Infrastructure: The facilities and infrastructure available for your course/department are like full-speed unlimited Wi-Fi, classrooms with smart boards, a bench with a plug, a huge library, a separate lab building, a Mac lab, etc. The quality of the facilities in your hostel is good, the quality of food available in the mess is also good, medical facilities are available as our university has its own hospital, sports, and games are much more, including outdoor and indoor, in addition, with horse riding, swimming, and a gymnasium.
Faculty: The teachers are very helpful, qualified, and knowledgeable. The teaching quality is also good. This course curriculum is relevant. It makes the students industry-ready. The semester exams in this college are of a perfect ratio, neither too hard nor too easy, you should study for the exam earlier. The pass percentage is 85 percent.
Other: I chose this course because I have an interest in AI area as nowadays all things can be done with AI. The best things about my course are that I like to do practical. Things I wish would be better/improved about my course are still yet nothing, everything is working perfectly as of now. There are so many events, fests, and many more in the university that hostel students can not be bored in the hostel.
Reviewed on 30 Dec 2025Read More
K
Kamran Ahmed
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.2
3.0Placements4.0Infrastructure4.0Faculty5.0Crowd & Campus Life5.0Value for Money
Here we can see a blend of modern infrastructure and greenery.
Placements: Many big companies come for campus placements, and many students get placed. The crowd is more here. Students have to be prepared to crack any interview, and college helps us to get to that stage. Many big MNCs also visit the college to hire students.
Infrastructure: Classrooms and labs are very well. It has enough space. All buildings in Parul have Wi-Fi connection. Classrooms have good ventilation. The hostel is pretty good, and it depends on which hostel we take. Overall, the hostel experience is good. The food is also fine.
Faculty: Teachers are very helpful here. Many teachers have a good approach, and they want students to learn. They are very natural and behave like a school teacher, but that is for our betterment only. The syllabus is also up to date. The syllabus is about the market and what the market needs.
Other: The crowd is good here. Campus life is very vibrant here. Many fests and concerts are going on there. Many celebrities come here for the promotion of movies. Overall, the campus rules are a little bit strict, but we can enjoy everything.
Reviewed on 20 Dec 2025Read More
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Download exam sample paper
ISC
ISC
CBSE 12th
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
| Particulars | Statistics (2025) |
|---|---|
| Average Salary | INR 5.70 Lakh |
| Highest Salary | INR 27.00 Lakh |
Top Recruiters for Parul University99acres.com
ABB
Amazon.com
amdocs
Anchor Electricals
Asian Paints
CapGemini
Cipla
Collabera
Decathlon
GODREJ
ICICI Prudential
Idea Cellular Services
L T
Naukri Com
Polycab Wires
SBI Mutual fund
Sun Microsystems
SYNTEL
Tech Mahindra
Times of India
Vodafone
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
General
Requirements for 12th grade
- 45%
Applicants shall have cleared 12th with Physics, Chemistry, Maths/ Biology subjects and in these subjects along with theory/ theory + practical. Applicant should have scored at least mentioned marks and 40% for reserved category from a recognized board.
GSEB HSC
ISC
CBSE 12th
Other eligibility criteria
NA
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Admissions Open! Apply Now
- Register and ApplyApplications’26 Open: Apply @ https://u.shiksha.com/SHKSHA/VtgBDTmy
Important Dates
ALL
COURSE
ISC
GSEB HSC
CBSE 12TH
Jun 15 - Jul 1, 2026
ISC Improvement Exam Date 2026
Jun 24, 2026
Last date to apply
Oct 31, 2026
Last date to apply
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Parul University Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Address
Parul University P.O. Limda, Ta. Waghodia
Vadodara ( Gujarat)
Phone
9316751818
(For general query)
02668260300
(For admission query)
Email
info@paruluniversity.ac.in
(For general query)
admissions@paruluniversity.ac.in
(For admission query)
Go to College Website ->
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