B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
4.0 /5- Private Institute
- Estd. 2009
3.8
3.8
4.2
4.0
4.0
S
Shaikh Altamash 
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2029
4.0
Good placements & infrastructure.
Placements: The placement recruitment is very good.. Around 75-80 percent of campus placement. The highest package is 12 LPA, the average package 3 LPA-4 LPA, and the lowest package is 2.4 LPA-3.5 LPA. Top recruiting companies are TCS, Cognizant, GlobalLogic, Tech Mahindra, Accenture, Infosys, and HCL. Roughly 30-40 percent of students secured interships by their 6th semester. Top roles offered are software development engineer, machine learning engineer, data analyst/ associate analyst, system engineer, and quality assurance.
Infrastructure: The facilities and infrastructure that are available in MLRITM are quite nice. Labs, classrooms, and the library are quite nice and clean. Everything is available and even hostel food is very tasty and served neatly. The canteen food is good and tasty and sports and games are available.
Faculty: Teachers are helpful and quite qualified and knowledgeable and also teaching is very understanding. The course curriculum is relevant as it helps students get ready for industrials. Semester exams are a little bit hard but it is necessary for the students to gain knowledge and understanding. The passing percentage is 35 percent and the passing rate for college students is around 60-65 percent.
Other: I chose this course because I wanted to become a software development engineer and the best thing about the course is that its packages are good. Improvement in the course is only more equipment and internship securing should be easier. Events and fests are really very engaging and help in gaining confidence and knowledge.
Reviewed on 23 Feb 2026Read More
O
Oruganti Pavan Vinay
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
3.4
All are good but need more placements.
Placements: 50 percent of students were placed in our course in our college. The highest package is 6 LPA in our course, the lowest package is 2 LPA in our course, and the average package is 3.5 LPA in our course. Epam is the main company, and 20 percent of students were doing internships in AI and ML.
Infrastructure: Okay, the facilities are good, but need more improvement in the college, course, and department also. The facilities are okay for now in the hostel, but need to improve the facilities in the hostel and college, and in sports too.
Faculty: Teachers are helpful, the facilities available are good, and the teaching quality is good. Somehow, they are ready for the industry by the course they provide in college. Somewhat difficult are the semester exams. I need more preparation for writing those exams.
Other: I opted for this course because I need to study AI and ML. We need more information about the course. All is good.
Reviewed on 20 Jan 2026Read More
N
Nirati Vinayaka
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.2
Good faculty and placements but dissatisfied with ground and canteen facilities.
Placements: Around 25 students have been placed from my course within past 6 months including me, with an average package of 4 LPA. Highest package in my course is 5 LPA, and lowest is 3.25 LPA. Most of them are placed in Infosys, Virtusa, and HCL. The placements are still counting as of now.
Infrastructure: College has good environment. Labs and classrooms are average. Hostel is maintained quite good, and food is delicious and unlimited. It has digital classrooms with the projector facility and pretty good capable. Canteen has the worst food facility but prices are low too.
Faculty: I love the way of teaching here. Teachers are so friendly with students and guide them throughout the semester for better marks. Faculty is so supportive and encouraging. They provide valuable resources and opportunities available at each stage of life and also helped me in understanding critical topics. Faculty holding a doctorate in their respective fields.
Other: I chose this course as it has a boom in the market, and has better opportunities compared to the others.
Reviewed on 2 Jan 2026Read More
View more 25 Reviews
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 Marri Laxman Reddy Institute of Technology and Management Overview
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
Marri Laxman Reddy Institute of Technology and Management (MLRITM) offers a 4 years B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course at the UG level. A total of 180 students can enrol in this course. The total tuition fee for the entire duration of this course is INR 4,00,000. Find out more about other courses under Marri Laxman Reddy Institute of Technology and Management (MLRITM) B.E. / B.Tech.
Total Tuition Fees | ₹4.00 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) at Marri Laxman Reddy Institute of Technology and Management Fees
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
The total tuition fee for Marri Laxman Reddy Institute of Technology and Management (MLRITM) B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is INR 4,00,000. Besides, the fee also includes other components, such as exam fee, caution deposit, enrollment fee, etc. Some of the fee components, such as caution deposit are one-time payable. Candidates after getting admission in B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) need to pay the Marri Laxman Reddy Institute of Technology and Management (MLRITM) fee to confirm their seat in the institute. Below is fee breakup for Marri Laxman Reddy Institute of Technology and Management (MLRITM) B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning):
| Fee components | Amount (4 years) |
|---|---|
The fee might include components other than tuition fee. | ₹ 4.00 Lakh |
₹ 4.00 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 Marri Laxman Reddy Institute of Technology and Management Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
Stories
- Courses & Fees
S
Santhosh Babu Kasarla
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.4
4.0Placements4.0Infrastructure5.0Faculty5.0Crowd & Campus Life4.0Value for Money
It has supportive faculty and good infrastructure.
Placements: Placements in our course are decent and improve every year. Around 60–70 percent of students from our batch get placed through campus recruitment. The highest package offered is around 5 LPA. The average package ranges between 3 and 4 LPA, and the lowest package is about 2.5 LPA. Companies like Cognizant, TCS, Wipro, and other reputed MNCs visit the campus for placements. Many students also receive internship opportunities through college support and external platforms. Common roles offered include software engineer, system engineer, data analyst, and trainee engineer. Overall, placement support is good for students who are skilled and proactive.
Infrastructure: Infrastructure of our college is good and well maintained. Our department has spacious classrooms with proper ventilation and digital teaching facilities such as projectors. Computer labs are well-equipped with updated systems and the required software for practical learning. High-speed Wi-Fi is available across the campus. They are useful for academic work and online learning. Library has a good collection of books, journals, and e-resources. Hostel facilities are decent. Along with clean rooms, regular water supply, and electricity backup. The quality of the mess food is average but hygienic. Medical facilities are available on campus for emergencies.
Faculty: Faculty members in our department are well qualified, experienced, and knowledgeable. They are supportive. They always ready to help students both academically and personally. Teaching quality is good, with a proper balance of theory and practical sessions. The curriculum is relevant and updated according to industry requirements, especially in emerging technologies. Semester exams are moderately difficult and focus on conceptual understanding. If students attend classes regularly and prepare well, it is easy to pass exams. The overall pass percentage is good, and internal assessments help students perform better in final exams.
Other: AI and ML are highly in-demand courses for the future, so I chose this course.
Reviewed on 2 Jan 2026Read More
G
Gatla Alekhya
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.4
4.0Placements4.0Infrastructure4.0Faculty5.0Crowd & Campus Life5.0Value for Money
I am absolutely satisfied with the course I have taken and learn many things from it.
Placements: Nearly 70% of my seniors got placed. Currently, companies like Infosys, Cognizant, ITC Infotech, Virtusa, and LTI-Mindtree visit the campus for placements. The top roles offered in my course are AI engineer, front-end developer, back-end developer, software developer, and data analyst.
Infrastructure: The hostel facility is very good. The hostel provides sufficient and unlimited food on campus. Security and safety are very good. Wi-Fi and classrooms are good with ventilation. Labs focus more on real-world practice. Faculty members and mentors help a lot in providing real-world knowledge.
Faculty: Semester exams are very good if we study regularly. The curriculum is allotted course-wise and has good course outcomes. It helps improve communication skills, aptitude, and reasoning, and provides good knowledge of real-world problem-solving using programming languages like C, Java, and Python.
Other: I chose this course because I am very interested in learning AI and ML and in building projects and applications. That are useful in real life and for people.
Reviewed on 2 Jan 2026Read More
A
Amith Kumar Yadav
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.0
2.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life3.0Value for Money
Everything is nice, but placements should improve more.
Placements: About 5% of students have been placed so far in my course. The highest package is 25 LPA, and the lowest is 3 LPA. Companies like Cognizant, Infosys, ITC Infotech, and others visit the campus. Around 2% of students get internships in companies like GE Appliances, working on ML development and AI specialties.
Infrastructure: Wi-Fi, labs, and classrooms have high infrastructure. The library is very good. The hostel and canteen are top-notch, with high-quality food and facilities. Sports and games are highly prioritized on our campus.
Faculty: Teachers are very helpful, qualified, and knowledgeable. The teaching quality is nice. The course curriculum is perfect. It makes students industry-ready, but there are no proper opportunities. Semester exams in the first two semesters are difficult but become easier later.
Other: I chose this course because of my special interest, and because artificial intelligence plays a major role in booming technology. Placements could improve, but overall, everything else is good.
Reviewed on 19 Dec 2025Read More
S
Swathi kaleti
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Our college should conduct some sports events and activities like other colleges.
Placements: 50% of students in our course get placed this year. The highest package for our course is 51 LPA, and the average package ranges from 2-3 LPA. The top recruiting companies for our computer science and engineering course are Infosys, Wipro, and Amazon. Most students get internships in companies like Wipro and Infosys. Placements are not yet complete.
Infrastructure: The infrastructure is average. There are six rooms for female students and staff to rest if needed. The food in the canteen is not very hygienic and is poorly maintained. The hostel is okay. The college hostel is 2 km away from the campus, and the college provides a bus service for hostel students. The hostel offers computers, study hours, proper beds, rooms, and good food.
Faculty: Most faculty members are not helpful. Only a few faculty members interact with or assist students. Exams are conducted very strictly, especially compared to classes. Passing or gaining good marks in midterm exams is relatively easy, whereas semester exams are much tougher. Therefore, most of the marks can be scored in the midterms. Supplies are often common, especially for M1 and M2, subjects most students find difficult.
Reviewed on 2 Mar 2025Read More
S
Shanmukh
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
This is a good college for students who study. There are soo many good options to grow for them.
Placements: In the class, there are 64 members. The highest package in the college is 58 LPA. The lowest package is 3.5 LPA. Almost 45% of students get internships and many big companies in Hyderabad like Google, Accenture, and Infosys.
Infrastructure: Everything about the faculty members and infrastructure is very good and very comfortable for our course and department. The block is so hygienic. Washrooms are clean. 24/7 mineral water is there. Mirrors are there in washrooms. The food in hostels is good, not excellent. It is edible. They provide chicken on Sunday and Wednesday.
Faculty: Teachers are helpful and qualified. They are knowledgeable. They teach very excellently and clearly. It is so easy to understand. If we don't understand, they explain it to us again. The pass percentage is 70%. Semester exams are not that hard but only sometimes the paper is hard.
Other: I chose this course because I am very interested in this CSE (AIML). It is a new subject and the future is based on it, so I chose it. Events are regular in this college. We can enjoy soo much. There are soo many events.
Reviewed on 14 Feb 2025Read More
(1) 1 person found this helpfulB.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Students also asked
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Placements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
Top Recruiters for Marri Laxman Reddy Institute of Technology and ManagementAmadeus
Amazon
CapGemini
Cognizant
Cyient
Deloitte
Genpact
Global Logic
Google
HCL Technologies
Hexaware Technologies
HGS
IBS Software
Infosys
Intel
L&T Infotech
Microsoft
NTT Data
Safran
SCHNEIDER ELECTRIC
Sonata
TCS
Tech Mahindra
UST Global
VEDA IIT
Virtusa
Wipro
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Entry Requirements
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
General
Requirements for 12th grade
- 45%
- Mandatory Subjects : Chemistry, Mathematics, Physics
- Read moreCandidate must have passed 10+2 Examination with Mathematics, Physics and Chemistry(PCM) as optional or related vocational courses in the fields of Engineering and Technology, conducted by the Board of Intermediate Education, Telangana / Andhra Pradesh, along with bridge course or courses conducted by it for candidates enrolled from academic year 2000-2002 onwards, or any other examination recognized as equivalent thereto by the Board of Intermediate Education, Telangana / Andhra Pradesh. Candidate must have scored minimum mentioned marks in the subjects specified (PCM) taken together at 10+2 pattern. (40% marks for candidates belongs reserved Category in the subjects specified (PCM) taken together at 10+2 pattern). Appearing candidates for the final year of Intermediate Examination (10+2 pattern) with same above subjects, are also eligible.
TS EAMCET
Age
Minimum: 16 years
Other eligibility criteria
Candidate should be of Indian Nationality or Persons of Indian Origin (PIO) / Overseas Citizen of India (OCI) Card Holders.
Candidate should belong to the state of Telangana / Andhra Pradesh.
Candidates should have completed 16 years of age, as on 31st December of the year of admission. There is no upper age limit.
Candidate are also eligible who have passed or appeared at the final year of the Diploma examination in Engineering conducted by the State Board of Technical Education and Training, Telangana / Andhra Pradesh or any other examination recognized as equivalent thereto by the State Board of Technical Education and Training, Telangana / Andhra Pradesh.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Admission Process
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
Important Dates
ALL
TS EAMCET
Jun 25 - Jul 1, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Exercising Options after Certificate Verification
Jul 1, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Freezing of options
Jul 4, 2026
TS EAMCET 2026 MPC Counselling Phase 1 - Display of Mock Seat Allocation on or before
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Cutoffs
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
3Gender
Quota
Category
TS EAMCET round-wise cutoff Rank: (General-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 25072 | 16609 | 18743 |
TS EAMCET round-wise cutoff Rank: (General-Home State)
| Round | 2023 | 2024 | 2025 |
|---|---|---|---|
| 1 | 34558 | 22487 | 25777 |
| 2 | - | - | 25777 |
TS EAMCET round-wise cutoff Rank: (OBC-All India)
| Round | 2021 | 2022 | 2023 |
|---|---|---|---|
| 1 | 49821 | 50362 | 41953 |
TS EAMCET round-wise cutoff Rank: (OBC-Home State)
| Round | 2023 |
|---|---|
| 1 | 97436 |
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Marri Laxman Reddy Institute of Technology and Management Contact Information
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
at Marri Laxman Reddy Institute of Technology and Management
Address
Marri Laxman Reddy Institute of Technology and Management
Dundigal
Hyderabad ( Telangana)
Phone
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