B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)
at Samalkha Group of Institutions, Panipat

5.0 /5

(8 Reviews)

Private Institute
Estd. 2009

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)

Table of contents

Overview
Fees
Student Reviews

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)
at
Samalkha Group of Institutions
Overview

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning) at Samalkha Group of Institutions is a 4 years course offered at the UG level. The total tuition fee for Samalkha Group of Institutions B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning) is INR 489200. Apart from the tuition fee, there is a hostel fee of amount INR 316800 that students are required to pay. The course offers admission to 60 students. Check other courses of Samalkha Group of Institutions B.E. / B.Tech.

Total Tuition Fees	₹4.89 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	60
Type of University	Private

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)
at
Samalkha Group of Institutions
Fees

Fee components	Amount (4 years)
Tuition Fees The fee might include components other than tuition fee.	₹ 4.89 Lakh
Hostel Fees Meal plan is not included in the mentioned fee.	₹ 3.17 Lakh
Total fee	₹ 8.06 Lakh

These are based on information available on various sources. Latest values may differ.

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B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)
at
Samalkha Group of Institutions

Frequently Asked Questions

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning)
at
Samalkha Group of Institutions
Students Ratings & Reviews

5/5

8 Verified Reviews Info Icon

4-5
8

Placements5.0

Infrastructure5.0

Faculty & Course5.0

Campus Life5.0

Value for Money5.0

Sumiya

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning) - Batch of 2029

5.0

5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money

About campus life and learning experience.

Placements: Placement opportunities are moderate. The highest package is 21 LPA, and 3.5 LPA is the lowest package. Around 70-85% of students have secured internships in labs, private firms, research centers, and academic institution. Common roles offered include research assistance and software developer.

Infrastructure: The department has satisfactory infrastructure to support academic needs. Classrooms are spacious, well-ventilated, and equipped with projectors and smart classroom boards. The library provides sufficient textbooks, reference books and journals, and access to digit learning resources.

Faculty: Faculty members are helpful, qualified, and knowledgeable. Most teachers explain concepts clearly. This course curriculum is relevant, and makes students industry-ready. Semester exams are moderately difficult, mainly based on the syllabus and internal assessment.

Reviewed on 2 Jan 2026Read More

Yug Kumar

B.Tech. in Computer Science And Engineering (Artificial Intelligence And Machine Learning) - Batch of 2028

5.0

5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money

Overall, the college provides a good learning experience.

Placements: Around 70–75% of students get placed by the college. Placements are generally held on campus. The highest package is 21 LPA, and the lowest package is 4.5 LPA. Many top recruiting companies visit the college during the placement period. Some students also get placed during their internship period.

Infrastructure: Infrastructure is well-maintained and well-structured. Hostel facilities are good. Along with many basic amenities such as Wi-Fi and free housekeeping. Hostel is decent, clean, and safe. Basic medical facilities are also available.

Faculty: Faculty members are highly knowledgeable and experienced. Teaching quality is good. Along with a balance of lectures, discussions, and practical explanations. Faculty members are approachable. They provide academic guidance whenever required. The course curriculum is well-structured and relevant.

Reviewed on 2 Jan 2026Read More

View All 8 Reviews