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Undergraduate
4 Years
Admission Open for 2026
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B.Tech Computer Science and Engineering (B.Tech CSE) with specialization in Artificial Intelligence and Machine Learning is a 4-year undergraduate engineering degree program. This btech in Artificial Intelligence program is designed to equip students with advanced technical skills and industry exposure.
Students explore cutting-edge domains like:
Duration: 4 yrs. (8 Semesters)
Program Details
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Manav Rachna offers a unique educational experience through its btech in AI and ML program, combining academic excellence, hands-on practical exposure, and strong industry partnerships. This approach equips students with the essential skills and knowledge required to excel in real-world AI and ML applications, preparing them for successful careers in emerging technologies.
Alumni Imprints Globally
Published Research Papers
MNC's & Indian Corporate Recruit
Patents (Filed/Granted)
Global Academic Collaborations
Alumni & In-Campus Startups
Countries with Footprints
Highest CTC Offered
Pass in 10+2 examination with at least 60% marks in aggregate in 5 subjects and eligibility shall be determined on the basis of percentage of aggregate marks in
Note A: Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship
Admission Criteria
Nationality
Selection Criteria
Merit preparation/shortlisting of candidates shall be on the basis of score in JEE Mains 2025/SAT/Pearson/MRNAT/XII Qualifying Examination.
Scholarship Program
As per Brochure
AICTE model curriculum and Industry-oriented choice-based courses
Microsoft Center of Excellence & Infosys Spring board programme
Continuous guidance and mentorship through Industry Leaders
Experienced faculty and trained regularly by the industry experts to deliver the curriculum
Interdisciplinary Projects, Electives
Our students are currently interning with the following companies, which also actively participate in our placement program.
MRIIRS has a strong Mentor-Mentee System through which students are allocated with veteran faculty for one-to-one guideance and professional development. The system facilitates scholarly advancement, career development, and leadership capabilities through individualized mentorship. Students are provided with an integrated academic platform for calendar, notifications, course materials, attendance, assignments, performance tracking, and fee management. It also offers scope to complete surveys and feedback processes.
The Corporate Resource Center (CRC) and Career Development Center (CDC) of the university are strongly industry-connected, which provide internships, live projects, and placements to top corporate companies like Microsoft, Infosys, HCL, Google, Tata Strive, NASSCOM, and many more. Soft skill activities comprise workshops, aptitude training, soft skill training, mock interviews, and resume building to prepare students for placement. Career guidance, mentorship, and alumni interaction also assist students. Numerous students are offered pre-placement by leading organizations based on internships, and alumni are engaged through recruitment and mentorship.
Manav Rachna Business Incubator encourages student, alumni, and faculty entrepreneurship by providing access to design, fabrication, and manufacturing capabilities. It brings start-up entrepreneurs in touch with mentors, investors, and industry partners, providing regulatory and financial advice, capacity-building programs, and networking opportunities to enable start-ups and early-stage companies to grow.
MRIIRS maintains a vibrant alumni network, fostering lifelong relationships, mentorship, and career development. Alumni events strengthen ties and provide opportunities for professional growth, networking, and community engagement.
MRIIRS also has student exchange programs with American International University and Purdue University Northwest. Under the 2+2 Program, students who pass the first two years of the program at MRIIRS and fulfill the required conditions are able to transfer and complete the remaining two years of their undergraduate degree from these partnership universities.
This route provides the students with international academic experience, exposure to multiculture environments, and a degree that is recognized internationally. Admission to the program is by academic ability, English language skills, and such other terms as the host institution deems fit. The students are required to submit evidence of finance available to them and obtain proper immigration visas to learn in America.
MRIIRS students undertake problem-based, real-time capstone projects on problems of today in many domains. The projects frequently result in research publication, patent, and copyright filings exhibiting innovation and academic achievement. Some recent examples of project titles are:
A BTech in AI/ML is designed to impart the ability to students to design AI-based solutions and smart solutions for real-world issues. During the course, the students undergo experience-based learning on implementing AI and machine learning approaches, designing consumable AI solutions, and developing systems that tackle complicated business issues across various industries.
The curriculum spans a wide range of AI areas such as computer vision, machine learning, natural language processing, deep learning, and robotics. It is more pragmatic towards logic, reasoning, and fundamental machine learning concepts so that students are able to learn and design intelligent solutions according to industrial requirements.
Graduates of this program can design innovations in the fields of automation, data analysis, and intelligent system design, which make them very valuable for today's technology-driven age.
Course Fee (First year): INR 3,33,800
Duration: 4 Years
* The fee displayed above is applicable only to Indian residents. Fees for NRI and International students are different and will be shared upon enquiry.
Modes of Payment
We at Manav Rachna offer generous residential facilities and convenient transportation services so that each student, including those studying Manav Rachna, gets to enjoy a safe, comfortable, and fulfilling campus life.
MREI provides on-campus and off-campus hostel facilities for boys and girls with various types of rooms. Students can choose single, double, and triple rooms as per their preference.
Key Points
Room Types: The hostels offer different types of rooms to suit different budgets and preferences:
Fee Structure: The hostel fee is to be paid on the basis of the room category chosen by the student and it can be paid through DD (Demand Draft) or in cash.
Additional Facilities:
At Manav Rachna, we offer world-class sports facilities to keep our students fit and active. Our facilities comprise a range of outdoor and indoor games, including:
Mess plan also comes as part of hostel fee. Healthy food is served through the mess considering the multicultural requirements of different food habits for the students. By providing choices involving vegetarian as well as non-vegetarian options, healthy lifestyle is available for the students enabling them to pursue their studies focusing on programs with full seriousness.
Notable facilities include:
The facilities enable students to pursue physical exercises that complement their academic development.
Laundry facilities are available at an extra fee in the hostel fees. This saves students from worrying about laundry, so they can focus on their studies, and also allows their clothes to remain properly cleaned.
There is a vast parking space facility available for students who commute using their own means of transport. It is provided to cater to the requirements of students, so that their travel will be easy and hassle-free.
Our well-maintained transport facility offers a stress-free, secure, and safe journey for students from Delhi and Gurugram. The GPS-located, contemporary fleet of buses is operated by professionally trained personnel, with onboard support staff to assist students. Our emphasis is on reliability, safety, and convenience, ensuring unproblematic travel to and from the campus.
Manav Rachna offers a unique educational experience that combines academic excellence, practical exposure, and industry partnerships to equip students with the skills needed for real-world success.
Log in to www.manavrachna.edu.in and click on the Admissions link.
Click on "Apply Now," generate your login credentials, and fill out the form with your personal, educational, and contact information.
Fill in the application by paying online using net banking, debit/credit card, or UPI.
Get qualified through MRNAT (Manav Rachna National Aptitude Test) or produce a valid score.
Program Outcomes (PO's)
Engineering Knowledge
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop the solution of complex engineering problems.
Problem Analysis
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
Design/Development of Solutions
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
Conduct Investigations of Complex Problems
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8)
Engineering Tool Usage
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
The Engineer and The World
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
Ethics
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Individual and Collaborative Team Work
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
Communication
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.
Project Management and Finance
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
Life-Long Learning
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
Program Specific Outcomes (PSO's)
Legacy Software:
Upgrade and maintain legacy software systems by integrating Artificial Intelligence and Machine Learning techniques using modern programming skills, tools, and frameworks.
Development of Software Systems:
Design, develop, validate, and maintain intelligent software systems using Artificial Intelligence and Machine Learning techniques to meet the automation demands of society and industry.
Research and Development:
Cultivate expertise in emerging trends of Artificial Intelligence and Machine Learning to contribute to teaching, research, and innovation, and to collaborate effectively within diverse teams.
Program Educational Objectives (PEO's)
Graduates will exhibit technical proficiency and leadership to become qualified engineers paving the way for a prosperous career in industry, consultancy, education, and allied areas related to the subjects of Computer Science and Engineering.
Graduates will commit to sustainable development, identify real-life gaps and mobilize the requirements, and propose innovative solutions while maintaining ethical, professional, and social obligations.
Graduates will continue their education throughout their lives thereby creating and disseminating knowledge based on research and challenging problem-solving strategies.
The B.Tech AI ML course at Manav Rachna is designed to provide students with the tools to succeed in Artificial Intelligence, Machine Learning, and Deep Learning, enabling them to build intelligent systems and AI-powered solutions to solve complex real-world problems.
Candidates should have successfully completed 10+2, achieving a minimum of 60% overall across five subjects. Entrance is determined by scores in JEE Mains, SAT, Pearson, MRNAT, or the relevant qualifying exam.
Those who finish their studies can seek jobs like Data Scientist, AI/ML Engineer, NLP Specialist, Business Intelligence Developer, Software Engineer, and other related roles. They can find work in fields like healthcare, finance, robotics, and technology.
The course material adheres to AICTE standards, enhanced with partnerships from Microsoft and Infosys. This offers practical training, certifications, and familiarity with current industry resources and innovations.
The university collaborates with leading companies such as Cognizant, Capgemini, KPMG, Flipkart, and others, to facilitate internships and on-campus recruitment, giving students practical experience and chances to find employment.
Pupils participate in practical lab sessions, summer placements, final-year projects, and collaborative tasks to get ready for hurdles in AI and software creation areas.
Students have the possibility to finish a portion of their degree overseas via student exchange programs, partnering with American International University and Purdue University Northwest, based on the 2+2 transfer arrangement.
The Corporate Resource Centre provides resume assistance, interview preparation, guidance from mentors, and introductions to industry recruiters, helping students be fully prepared for job placements.
The total cost is INR 314,000 for Indian pupils, and USD 4,900 for those from overseas. You can pay by online methods, bank transfer, through a demand draft, or with education loans.
Yes, B.Tech programs in AI and ML offered by recognized institutions are approved by the University Grants Commission (UGC).
Salaries range from ₹5 LPA to ₹10 LPA, depending on the role and organization.
While a basic understanding of mathematics and programming is beneficial, bridge courses are often available to help non-technical students transition into the program.
A strong foundation in mathematics, particularly in areas like calculus and linear algebra, along with basic programming skills, is recommended.
Graduates are in demand in IT, finance, healthcare, automotive, e-commerce, and research sectors, where AI-driven decision-making and automation are critical.
This Honours program focuses specifically on Artificial Intelligence and Machine Learning, with additional credits dedicated to neural networks, deep learning, and AI model deployment—beyond the standard CSE curriculum.
Students get practical exposure through AI labs, real-time datasets, model-building projects, and Python-based machine learning pipelines—beginning in the early semesters.
Yes. The program encourages projects that apply AI to fields like healthcare, robotics, fintech, and agriculture. Students also participate in innovation challenges and research paper presentations.
Graduates are equipped for roles such as AI Engineer, Machine Learning Developer, Data Scientist, AI Product Analyst, and Research Assistant in AI/ML labs.
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