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 28 Reviews
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 Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. A total of 60 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 7,80,000. Find out more about other courses under Parul University B.E. / B.Tech.
Total Tuition Fees | ₹7.80 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)
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 Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Parul University
Parul University B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course fee is INR 7,80,000. Parul University fee structure is a sum of multiple components, such as tuition fee, hostel fee, medical insurance, mess and other security deposits, etc. Check detailed break-up below:
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees.
Fee for North East candidates will be Rs. 800000/- | ₹ 7.80 Lakh |
Meal Plan is included in mentioned fee.
Hostel fee is calculated on the basis of 1st year. The actual amount may vary.
Hostel fee mentioned is for cheapest option available. For other options availa Meal Plan is included in mentioned fee.
Hostel fee is calculated on the basis of 1st year. The actual amount may vary.
Hostel fee mentioned is for cheapest option available. For other options available, please refer to fee pdf. | ₹ 3.96 Lakh |
₹ 11.76 Lakh |
These are based on information available on various sources. Latest values may differ.View scholarships
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
S
SWAPNIL SEN
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
5.0
5.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life5.0Value for Money
Absolutely satisfied with my university.
Placements: 80% of students were placed in my course. The highest is 60 LPA, the lowest is 7 LPA, and the average is a 20 LPA package offered in my course. Top recruiting companies for my course are Capgemini, IBM, Microsoft, Infosys, etc. 80% of students got internships from my course in companies like Microsoft, Capgemini, IBM. Top roles offered in my course are ML Engineer, AI Engineer, etc.
Infrastructure: Infrastructure is very good in my university. Wi-Fi is available in all places, including classrooms, labs, and hostels. Labs and classrooms have smart boards and power sockets in each place. Labs also have a CS section. The library is also very good and includes all the books for all the courses available. Hostel facilities are also good. In our campus, we have a very big campus of 150 acres. Food quality is also good in the mess, medical facilities are also good, and we have various sports complexes for each type of sport, including an indoor sports complex.
Faculty: Faculty members are very helpful. We have qualified faculty members who are Ph.D. qualified, and some are from IITs and IIMs in our branch. They are very knowledgeable, and the teaching quality is also good. The course curriculum is also relevant, as it is based on IITs' syllabus, and it does help the students be industry and placement-ready. Semester exams are of good standards and are conducted without any cheating. Passing is around 6 CGPA.
Other: I chose my course because it is my passion to become a software developer. The best thing about this course is that we got to know how artificial intelligence works and how it is included with machine learning, which is taught by industrial trainers. Improvement in this course is not that required as it is perfect except for some topics. Our campus is known for its campus life. Events, and the fest crowd are also good on our campus. We can also connect with people through events. We also get scholarships; our university supports all types of scholarships. Our university is also good in extracurricular activities.
Reviewed on 5 Dec 2025Read More
T
Tanvi Sharma
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.6
4.0Placements5.0Infrastructure4.0Faculty5.0Crowd & Campus Life5.0Value for Money
Excellent infrastructure, supportive faculty, industry-ready AI course, and vibrant campus life.
Placements: At Parul University, B.Tech CSE AI & ML, 80 percent of students get placed. The top package is 46 LPA. Companies like Amazon and TCS visit for placements, and internships start from the sixth semester. Exciting roles include ML Engineer, Data Scientist, and AI Researcher, shaping the future. The university also offers excellent infrastructure for hands-on learning.
Infrastructure: Parul University offers Wi-Fi, modern labs, comfortable classrooms, and a variety of food in the tier mess with proper hygiene. The campus life is supportive. We receive good treatment at the university hospital. There are gym and sports facilities, a well-stocked library, and good hostel life.
Faculty: Teachers are supportive, but they are not very knowledgeable, and their teaching skills need improvement. As I am in the first semester, I do not know about exams since I have not given any.
Reviewed on 18 Oct 2025Read More
A
Anonymous
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
3.6
4.0Placements3.0Infrastructure3.0Faculty4.0Crowd & Campus Life4.0Value for Money
Top most university in India.
Placements: They have tie-ups with major big companies like Armani, Reliance, Godrej, and many more. From 3rd students become eligible for campus placements. Minimum package is 7,00,000 LPA, and the highest is 14,00,000 LPA. 98% is the placement rate as some also go for masters. Most of the students get placements through internships only, and rest of the students get help from the college if they want to go for another company.
Infrastructure: There are two types of hostels provided for design students, three sharing and poor sharing. Each student has a separate charging spot, separate study, table, and a cupboard. Food is good. Washing machines are provided, but we have to pay for them through our app. Classrooms are spacious and have all the facilities like projector, AC, etc. Computer labs are good. There are many PCs. There are many grounds for students to play. Swimming pool, garden, cafe, etc., are present on campus.
Faculty: Faculty ratio of college is approximately 1:15. The faculty members are good and help students to improve themselves. But also there are some non-experienced faculty members, there is one ma'am. I don't know about other classes. There are weekly test mid semester exam and end semester exam, approximately 90% of students pass the mid-semester exam. 80% is the pass percentage in end semester.
Reviewed on 25 Sep 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
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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
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Idea Cellular Services
L T
Naukri Com
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SBI Mutual fund
Sun Microsystems
SYNTEL
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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%
- Candidate shall have passed 12th Science with Physics and Mathematics as compulsory subject with Chemistry/Computer Science/Information practice/Computer with mentioned marks for general and 40% for reserved category in theory or theory + practical from 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
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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)
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