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Postgraduate
2 Years
Admission Open for 2026
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M.Tech Computer Science & Engineering is a two-year postgraduate program designed to equip students with advanced analytical and computational skills.
The curriculum covers machine learning, big data technologies, data mining, and statistical modeling, with practical applications in finance, healthcare, retail, and smart technology sectors.
This programme is offered with specializations electives in AI-ML / Data Science based on the courses opted by the students out of the basket of offered elective courses.
The postgraduate two-year mtech in ai and ml and Data Science is structured to equip students with advanced theoretical knowledge, hands-on experience, and solid research capabilities to address sophisticated computing and technology issues. Students are prepared to assume career roles in academia, research, and industry sectors associated with Computer Science Engineering and Artificial Intelligence, with coverage of the theory and concepts of traditional computing to the recent innovations in computing.
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.
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
Applicants must have a minimum of 50% marks or equivalent CGPA in any of the following:
The admission process is typically based on merit, which involves the shortlisting of candidates through valid GATE scores or marks obtained in the qualifying examination.
Candidates can be Indian nationals, NRIs, PIOs, or foreign nationals, as per the university guidelines.
Eligible candidates are shortlisted based on their GATE scores or their performance in the qualifying examination, ensuring the selection process remains transparent and merit-based.
This set of requirements ensures candidates have a strong foundational knowledge in relevant disciplines, suitable for pursuit of advanced studies in computer science engineering and related specializations such as AI-ML and Data Science.
Selected candidates receive ₹10,000 per month for up to 12 teaching months during the 2-year M.Tech program. They assist in practical and tutorial classes for 8–10 periods per week under faculty supervision.
Alternatively, candidates may avail of merit scholarships governed by the university’s policy. Tuition fee waivers are granted based on marks or CGPA obtained in the qualifying examination as follows:
This scholarship scheme aims to reward academic excellence and support deserving students financially during their study in an mtech in machine learning or other related M.Tech programs.
12 fully equipped, world-class laboratories conducive to advanced study of computer science engineering
Curriculum aligned with the AICTE model, offering choice-based and industry-oriented courses
Skill-based training programs through MOUs with prominent organizations enhance employability
Abundant e-learning resources including MOOCs, NPTEL, Coursera, p.Tech, IBM, and Oracle Academy
Conduct Grooming sessions to help students prepare for campus placement drives, etc.
More than 200 research papers published in reputed refereed journals, both national and international.
Regular hosting of conferences, short courses, training programs, workshops, webinars, coding and project competitions online, and industry internships.
Engagement in project and experiential learning towards real world problem solving.
Choice-based credit system that supports interdisciplinary minors.
Research opportunities in India and abroad.
Scholarships of 100% waiver in tuition fees.
Applied projects focused on using AI and machine learning in practice.
Frequent seminars and workshops by leading industry professionals and researchers in AI-ML.
Independent research or thesis in the area of AI-ML under expert faculty supervision.
This program structure prepares students studying M.Tech in computer science engineering with the knowledge and skills needed to be successful in emerging technologies, especially in the areas of AI-ML and data science.
This comprehensive curriculum structure equips M.Tech Computer Science and Engineering students to excel in cutting-edge technological fields and industry demands.
Industry Exposure
The Manav Rachna M.Tech Computer Science and Engineering program encourages close engagement with industry partners to enable students to:
Working with industry partners, students will engage with industry and have experiential learning to develop industry readiness skills as it related to artificial intelligence, machine learning and data science.
Teaching Assistantship:
Selected candidates receive ₹10,000 per month for up to 12 teaching months during the 2-year M.Tech program. They assist in practical and tutorial classes for 8–10 periods per week under faculty supervision.
Innovation & Startups
Manav Rachna Business Incubator is a dedicated initiative aimed at fostering the innovative spirit among students, alumni, and faculty of Manav Rachna Educational Institutions (MREI). The incubator supports those inclined towards research, innovation, and entrepreneurship by providing comprehensive facilities for design, fabrication, and manufacturing to facilitate the growth of startups and early-stage companies.
The incubator also guides businesses toward funding opportunities through angel investors, state governments, economic-development coalitions, and other sources. Beyond capital access, startups benefit from mentorship, expert guidance, and extensive networking opportunities.
Manav Rachna offers tailored Innovation-Based Incubation support services, including scouting and nurturing business ideas, capacity building, and training programs to develop entrepreneurial skills. Support services cover regulatory, financial, and administrative areas, while the incubator provides broad networking with investors, practitioners, and collaborators, encouraging sustainable business growth and successful enterprise development.
This ecosystem nurtures research and entrepreneurship by integrating infrastructure, capital, mentorship, and community essential for emerging startups to thrive within and beyond the university environment.
Course Fee (First year): INR 1,45,200
Duration: 2 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)
Critical Thinking:
Take informed actions after identifying the assumptions that frame our thinking and actions, checking out the degree to which these assumptions are accurate and valid, and looking at our ideas and decisions (intellectual, organizational, and personal) from different perspectives.
Effective Communication:
Speak, read, write and listen clearly in person and through electronic media in English and in one Indian language, and make meaning of the world by connecting people, ideas, books, media and technology.
Social Interaction:
Elicit views of others, mediate disagreements and help reach conclusions in group settings.
Effective Citizenship:
Demonstrate empathetic social concern and equity centered national development, and the ability to act with an informed awareness of issues and participate in civic life through volunteering.
Ethics:
Recognize different value systems including your own, understand the moral dimensions of your decisions, and accept responsibility for them.
Environment and Sustainability:
Understand the issues of environmental contexts and sustainable development.
Self-directed and Life-long Learning:
Acquire the ability to engage in independent and life-longlearning in the broadest context socio-technological changes.
Program Specific Outcomes (PSO's)
To apply Software Engineering Principles and Practices to provide software solutions.
To design and Develop Network, Mobile and Web-based Computational systems under realistic constraints.
Programme Educational Objective (PEOs)
To impart knowledge and skills to analyze, design, test and implement various softwares and be engaged in life-long learning.
To promote the development of innovative systems and optimized solutions by professional practices.
To work collaboratively on multidisciplinary projects and exhibit high levels of professional and ethical values within organization and society globally.
To enhance skills and adapt new computing technologies for attaining professional excellence and carrying research.
The B.Tech AI ML syllabus is designed to meet global standards, covering essential topics such as Data Structures, Deep Learning, Machine Learning, Python for Data Science, NLP, and Digital Image Processing, along with specialized Microsoft certifications.
Candidates must have a B.Tech in Computer Science & Engineering, Information Technology, Electronics & Communication, Electrical & Electronics, Instrumentation & Control, or related disciplines. Other acceptable qualifications include MCA or MSc-Computer Science / IT / Electronics / Physics / Mathematics.
A minimum of 50% marks or equivalent CGPA in the undergraduate degree is required.
Yes — in certain cases such as single girl child, wards of defense/paramilitary forces, or sports quota, there may be relaxation up to 5% in the eligibility marks.
Specializations and electives in MTech in Machine Learning, Artificial Intelligence, and Data Science are offered to help students gain expertise in advanced computing technologies.
The specific dates vary every year. You should check the official MRIIRS website for application deadlines, start of semester, GATE result announcements, etc.
Yes — the curriculum includes project work, hands‐on labs, workshops, seminars, and opportunities for independent/thesis‐style research in AI/ML/Data Science domains.
MRIIRS offers fully equipped labs, industry‐oriented labs, AI/ML labs, workshop facilities, computing resources, etc.
Yes — candidates with MCA or MSc in relevant areas (Computer Science, IT, Electronics, Mathematics, Physics) are eligible
The programme is primarily full-time, but working professionals can check with the admissions office for possible part-time enrolment options.
The full form of CSE is Computer Science and Engineering. At MRIIRS, the M.Tech CSE program offers advanced study and research opportunities in this field.
The programme offers advanced specializations in MTech in AI and ML along with Data Science, preparing students with industry-focused knowledge in artificial intelligence, machine learning, and emerging technologies.
Candidates must have a bachelor's degree in engineering or technology related to computer science, information technology, electronics, or equivalent with a minimum of 50% aggregate marks. Valid GATE scores are preferred for admissions and are a criterion for scholarships and financial aid.
MRIIRS offers a cutting-edge curriculum integrated with industry needs, a high-caliber faculty with research credentials, state-of-the-art laboratories, and an ecosystem promoting innovation and entrepreneurship. The university is NAAC ‘A++’ accredited and offers strong placement support, scholarships, and opportunities for interdisciplinary learning.
Graduates from MRIIRS’s M.Tech CSE program can expect promising careers in software development, data analytics, AI and ML engineering, research and development, academia, and leadership roles in technology-driven organizations globally.
Yes, the department has strong industry linkages with leading technology companies and academic collaborations that ensure ample internship opportunities, project work, and workshops, thereby enhancing practical knowledge and employability.
The curriculum typically covers subjects such as Deep Learning, Natural Language Processing, Computer Vision, Data Mining, AI for Big Data, and AI Systems Architecture. You will also study research methodologies, optimisation techniques, and cloud-based AI deployment.
Yes. Apart from classroom learning, you’ll work on industry-linked projects, real datasets, and simulation environments. Labs are equipped for neural network training, image/video processing, and AI model deployment on cloud and edge devices.
Students are encouraged to publish their research in reputed national and international journals/conferences. The dissertation in the final year is research-oriented, and faculty mentors guide students to produce publishable work.
Yes. The programme often includes internships or collaborative projects with AI-focused companies, startups, and research labs. These provide exposure to real-world AI–ML applications and industry workflows.
The department provides high-performance computing clusters, GPU workstations, and licensed AI–ML software tools such as TensorFlow, PyTorch, MATLAB, and cloud computing credits for large-scale model training.
Yes. Students can pick electives in areas like Autonomous Systems, AI in Healthcare, FinTech AI Solutions, or Explainable AI, depending on faculty expertise and availability.
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