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M.Tech CSE - AI ML / Data Science

Programme Overview

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.

Programme Details

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.

Duration: 2 yrs. (4 Semesters)

Key Educational Benefit

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.

41,000+

Alumni Imprints Globally

2800+

Published Research Papers

600+

MNC's & Indian Corporate Recruit

250+

Patents (Filed/Granted)

120+

Global Academic Collaborations

80+

Alumni & In-Campus Startups

60+

Countries with Footprints

60 LPA

Highest CTC Offered

Eligibility

Applicants must have a minimum of  50% marks  or equivalent CGPA in any of the following: 

  •   B.Tech. in Electronics & Communication Engineering, Telecommunication Engineering, Computer Science & Engineering, Information Technology, Electronics & Instrumentation Engineering, Instrumentation & Control Engineering, Electrical & Electronics Engineering, Electrical Engineering, or Power Electronics 
  • MCA or M.Sc. in Computer Science, Science, Information Technology, Electronics, Physics, or Mathematics 
  • M.Tech in Computer Science & Engineering or related fields 
  • Selection will be based on  merit , prepared from a valid GATE score or marks obtained in the qualifying examination. 

Admission Criteria

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.

Nationality

Candidates can be Indian nationals, NRIs, PIOs, or foreign nationals, as per the university guidelines.

Selection Criteria

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.

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.

Merit-Based Scholarship:

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:

  • 85% and above: 100% waiver
  • 80% to 84.99%: 50% waiver
  • 75% to 79.99%: 25% waiver
  • 70% to 74.99%: 10% waiver

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.

Programme Highlights

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.

Curriculum

icon Curriculum Highlights

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Internship & Placement Opportunities for M.Tech Computer Science and Engineering (CSE) Students

Industry Exposure

The Manav Rachna M.Tech Computer Science and Engineering program encourages close engagement with industry partners to enable students to:

  • Provide support under the guidance of industry partners on their thesis or minor project in order to solve real-world problems.
  • Participate in hackathons that focus on problem-solving, including the Smart India Hackathon (SIH) and internal university-based innovation competitions.
  • Engage with startup projects from on-campus incubation centres or other external accelerator-based projects, again fostering Entrepreneurship and Innovation.

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.

Fee Details for M.Tech CSE - AI ML / Data Science

  • Course Level

    Course Fee (First year): INR 1,45,200

  • Duration

    Duration: 2 Years

  • MANAV RACHNA INTERNATIONAL Brochure (PDF)

* 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

  • Online Payment: Via net banking, debit/credit card, or UPI through the university's official payment portal.
  • Bank Transfer: NEFT/RTGS to the university’s designated bank account.
  • Demand Draft (DD): As per details shared during the admission process.
  • Cash Payment: At the Accounts Office on campus (subject to limits as per government regulations).
  • Education Loan: Through tie-ups with banks like PNB, SBI, HDFC, and ICICI, offering easy financing options.

Residential Facilities & Transport

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.

Residential Services

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:

  • Air-conditioned and non-air-conditioned rooms
  • Single-seater, two-seater, three-seater, and five-seater rooms
  • The rooms can be equipped with attached or common toilets as per the choice of room category.

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:

  • Medical services and medical insurance to keep the students fit.
  • Library facilities for access to study materials and academic inputs.
  • Laundry facilities as included in the hostel fees, to ease the life of students.

Mess Plan

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:

Sports

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.

  • Basketball, volleyball, cricket, soccer, chess, and carom among others.

Notable facilities include:

  • A 25m shooting range and a 10m air-conditioned indoor shooting range with Olympic-standard SIUS Ascor electronic targets.
  • Indoor badminton and table tennis stadia with synthetic courts in association with Yonex and Stag.
  • A Semi-Olympic pool for swimming and a Soccer Academy for students who have sporting interest and passion.
  • A Sports Fitness Centre to service psychological, physiotherapy, and other aspects of health for students.

The facilities enable students to pursue physical exercises that complement their academic development.

Laundry

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.

Parking

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.

Transport

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.

How to Apply for M.Tech CSE - AI ML / Data Science

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.

  • 1
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    Go to the Official Website
  • 2
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    Complete the Online Application Form
  • 3
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    Upload Mandatory Documents
  • 4
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    Pay the Application Fee
  • 5
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    Appear or Submit Score

Step 1 - Go to the Official Website

Log in to www.manavrachna.edu.in and click on the Admissions link.

Step 2 - Complete the Online Application Form

Click on "Apply Now," generate your login credentials, and fill out the form with your personal, educational, and contact information.

Step 3 - Upload Mandatory Documents

  • Upload scanned copies of the necessary documents, such as:
  • Class 10 & 12 mark sheets
  • Aadhaar card
  • Passport-size photos

Step 4 - Pay the Application Fee

Fill in the application by paying online using net banking, debit/credit card, or UPI.

Step 5 - Appear or Submit Score

Get qualified through MRNAT (Manav Rachna National Aptitude Test) or produce a valid score.

PEOs, PSOs and POs

Program Outcomes (PO's)

PO1

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.

PO2

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.

PO3

Social Interaction:

Elicit views of others, mediate disagreements and help reach conclusions in group settings.

PO4

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.

PO5

Ethics:

Recognize different value systems including your own, understand the moral dimensions of your decisions, and accept responsibility for them.

PO6

Environment and Sustainability:

Understand the issues of environmental contexts and sustainable development.

PO7

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)

PEO-1

To impart knowledge and skills to analyze, design, test and implement various softwares and be engaged in life-long learning.

PEO-2

To promote the development of innovative systems and optimized solutions by professional practices.

PEO-3

To work collaboratively on multidisciplinary projects and exhibit high levels of professional and ethical values within organization and society globally.

PEO-4

To enhance skills and adapt new computing technologies for attaining professional excellence and carrying research.

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Frequently Ask Questions

What is included in the B.Tech AI ML syllabus?

What is the minimum educational qualification required to apply for M.Tech CSE (AI/ML & Data Science) at MRIIRS?

What is the minimum marks or CGPA required in the qualifying degree?

Are there any relaxations in eligibility criteria for reserved categories or special cases?

What specializations or electives are available under this M.Tech programme?

When do applications open and what are important dates to keep in mind?

Does the programme include projects, labs, or research components?

What kind of labs / infrastructure support is available for students?

Can students from non‐engineering backgrounds apply?

What are the key skills and areas of knowledge students should focus on to succeed in this M.Tech programme?

Does the programme accept part-time or working professionals?

What is the full form of CSE?

What specializations are available in the M.Tech Computer Science & Engineering program?

What are the eligibility criteria for admission to the M.Tech CSE program at MRIIRS?

What makes MRIIRS’s M.Tech CSE program unique?

What career opportunities can M.Tech CSE graduates expect?

Does MRIIRS provide industry collaboration and practical exposure for M.Tech CSE students?

What core subjects will I study in this M.Tech programme?

Is there a strong hands-on component in the course?

Will I get to publish research during the programme?

Are internships or industry collaborations part of the course?

What kind of computational resources are available for AI–ML work?

Can I choose electives based on my interest?

Contact Us

Icon location ADDRESS

Sector – 43, Aravalli Hills, Delhi – Surajkund Road, Faridabad – 121004, (Haryana), India