B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Government Engineering College, Barmer, Barmer

3.2 /5

(2 Reviews)

Public/Government Institute
Estd. 1965

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Government Engineering College, Barmer
Overview

Government Engineering College, Barmer provides UG level courses across various specialisations, one of them is B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). The duration of the programme is 4 years. After pursuing B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course from Government Engineering College, Barmer, candidates are offered lucrative job opportunities in the top industries of the field. There are a total of 30 available for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning). The institution accepts the scores of REAP exam for admission to the course. Check the following section for more details around Government Engineering College, Barmer B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees, admission and more.

Total Tuition Fees	₹1.96 Lakh Get Fees details
Duration	4 years
Course Level	UG Degree
Mode of Course	Full Time
Official Website	Go to Website
Seat breakup	30
Type of University	Public/Government

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

Table of content

Overview
Fees
Student Reviews
Entry Requirements
Admission Process

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Government Engineering College, Barmer
Fees

The Government Engineering College, Barmer B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees are inclusive of various components, such as examination, medical, seat rent, etc. The tuition fee may subject to vary depending on the category a student belongs to. Refer to the table below for a detailed break-up of Government Engineering College, Barmer B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) fees:

Fee components	Amount (4 years)
Tuition Fees Above mentioned fee is for SFS (Self-Financed Seat). Total tuition fee for GAS (Government Affiliated Seats) is : INR 60,000/-. There will be no fee for admission of Girls for GAS (Government Affilia Read more Above mentioned fee is for SFS (Self-Financed Seat). Total tuition fee for GAS (Government Affiliated Seats) is : INR 60,000/-. There will be no fee for admission of Girls for GAS (Government Affiliated Seats). Tuition fee is calculated on the basis of 1st year/semester. Actual amount may vary. Above mentioned fee is as per Rajasthan Engineeing Admission Process (REAP)	₹ 1.96 Lakh
One-time Payment One time payment value includes Caution Money for SFS (Self Financed Seats) Caution money for GAS is : INR 5000.	₹ 2,500
Total fee	₹ 1.99 Lakh

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

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Government Engineering College, Barmer
Students Ratings & Reviews

3.2/5

2 Verified Reviews Info Icon

3-4
1
2-3
1

Placements3

Infrastructure3.5

Faculty & Course3.5

Campus Life3

Value for Money3

Taksheel SIngh Solanki Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027

Offered by Government Engineering College, Barmer

2.8

3Placements3Infrastructure3Faculty2Crowd & Campus Life3Value for Money

It can be Rajasthan's best government college (Government Engineering College, Barmer) but not till.

Placements: As for now, there are not that much on-campus placements. The main reason behind this is that the college is not that old. This is not located in a good area. Good placements are in petroleum branch only. Well, about other branches without petroleum there are average placements.

Infrastructure: College infrastructure is average only. There are all the basic things available in college that are used to study. The hostel is too old but it's okay. A new one is to be made (budget issue). The food is good at mess. Hostel has Wi-Fi also but not that good speed.

Faculty: About faculty, it's not that great but it's not that bad also. Firstly, there is no government faculty. There are only guest faculty members who are mostly freshers only not experienced holders. About exams, our college comes under MBMU (MBM University). So, the exams are conducted by them.

Other: I chose this course because I didn't have good percentile in JEE. So I wanted to take admission in MBM Jodhpur, and I wanted to take CSE. So that was not possible for me due to very high cutoff. So our college is affiliated with MBM Jodhpur. The seats for CSE are left in my college so I took admission here. I think this college can be made one of the best government colleges in Rajasthan but due to politics, it is not possible. Very few events are hosted by the college.

Reviewed on 14 Jul 2025Read More

Mohit Prajapat Verified Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027

Offered by Government Engineering College, Barmer

3.6

3Placements4Infrastructure4Faculty4Crowd & Campus Life3Value for Money

Good campus and infrastructure, but average faculty — placements are improving gradually.

Placements: I was from the B.E. CSE (AI & ML) batch of 2023. Around 70-75% of students were placed. The highest package was 10 LPA, the average remains around 4-5 LPA, and the lowest was 2.5 LPA. Top recruiters included TCS, Wipro, Infosys, Capgemini, and Cognizant. Around 50-60% of students got internships in companies like TCS, startups via Internshala, and AI-based firms. Common roles offered were software developer, data analyst, ML intern, and support engineer. Skill-based preparation and personal projects helped students get better opportunities.

Infrastructure: Our CSE (AI & ML) department had smart classrooms, Wi-Fi, and computer labs with the required software. The library was well-stocked with books and digital resources. Hostel rooms were basic but manageable, with average Wi-Fi and shared washrooms. Mess food was okay, but repetitive; the canteen had a better variety. Medical facilities included a health room and nearby hospital tie-ups. Sports facilities were decent, including grounds for cricket, football, and courts for badminton and basketball. Indoor games like carrom and table tennis were also available. Overall, the infrastructure was satisfactory, but some areas, like labs and hostels, could be improved.

Faculty: Most teachers were helpful, qualified, and had good subject knowledge, though teaching was more theory-based than practical. Some faculty members used updated methods, but others followed traditional styles. The course curriculum was relevant but needed more industry exposure and practical projects to make students truly job-ready. Semester exams were moderate in difficulty, and students who studied regularly could score well. The pass percentage was around 80-90%, depending on the subject. While the course built a good foundation, students had to rely on self-learning, internships, and online resources to bridge the gap between academics and real-world industry needs.

Other: I was from the B.E. CSE (AI & ML) batch of 2023. I chose this course due to the rising demand for AI technologies. The syllabus covered key topics like ML, Python, and Data Science, but more practical exposure and industry tie-ups are needed. Faculty were qualified but mostly focused on theory. The campus had good infrastructure, an average hostel and mess, and decent sports facilities. College events, hackathons, and cultural fests were enjoyable. The crowd was diverse and friendly. Connectivity was decent, and scholarships were available. Overall, a good experience, but students need self-effort to become industry-ready.

Reviewed on 14 Jul 2025Read More

View All 2 Reviews

Download exam sample paper

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at
Government Engineering College, Barmer
Entry Requirements

General

Requirements for 12th grade Up Arrow Icon

45%
Candidate who have passed 10+2 examination with Phy, Maths as mandatory courses and one single course from the other relevant courses such as Physics/ Mathematics/ Chemistry/Computer Science/ Electronics/ Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship with the mentioned marks in aggregate (40% marks in case of candidates belongs Non-creamy layer OBC and Non-creamy layer MBC, PwD, Relaxation in cut off percentage upto 10% subject to minimum Eligibility requirements, has provided to Kashmiri Migrants as well as Kashmiri Pandits/ Kasmiri Hindu Families (Non- Migrants) who are living in Kashmir Valley) in the mentioned subjects taken together from a recognized board are eligible to apply.
Read more

JEE Main

REAP

Other eligibility criteria Up Arrow Icon

Candidate who have passed minimum 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging SC, ST and Non-creamy layer OBC and Non-creamy layer MBC, PwD) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted, can also apply. Relaxation in cut off percentage upto 10% subject to minimum Eligibility requirements, has provided to Kashmiri Migrants as well as Kashmiri Pandits/ Kasmiri Hindu Families (Non- Migrants) who are living in Kashmir Valley.