M.Tech Computer Science & Engineering (CSE)

Programme Overview

The Department of Computer Science & Engineering (CSE) was established in 1997 with a focus on imparting the fundamental concepts both theoretically and practically. Keeping in view the growth in industry and increasing demand for computer professionals, the department also offers some industry associated courses. To meet the needs of industry and R&D organizations, the course curriculum has been carefully customized to meet the rising global outlook and focuses on forthcoming innovations in the field of Computer Science and Engineering.

The legacy continues and the various programs are offered at the Department of Computer Science & Engineering (CSE), Manav Rachna International Institute of Research and Studies.

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

M.Tech CSE Eligibility Criteria

In order to apply for the M.Tech Computer Science and Engineering (CSE) at Manav Rachna, candidates should fulfill the following eligibility criteria

Subject-Wise Eligibility

Minimum 50% Marks or equivalent CGPA in B.Tech.- Electronics & Communication Engg. /Telecommunication Engg./Computer Science & Engg. /InformationTechnology/Electronics & Instrumentation Engg./Instrumentation & Control Engg. /Electrical &Electronics Engg./Electrical Engg./Power Electronics or MCA or MSc-Computer or MTech courses for Computer Science and Engineering /Science/InformationTechnology/Electronics/Physics/Mathematics.

Admission Criteria

Merit preparation / short listing of candidates shall be on the basis of Valid GATE score/ Marks in Qualifying Examination.

Programme Highlights

12 fully equipped state of art laboratories.

AICTE model curriculum and Industry-oriented choice-based courses.

Curriculum designed by Industry experts and reputed Academicians.

Skill based training for enhancing employability skills through MOUs.

E-learning through MOOC, NPTEL, Coursera, p.Tech, IBM, Oracle Academy.

Special student grooming for placements drives.

Having 200+ research papers international and international refereed journals.

Provision of Conference/Short-Term Training Programme/Workshops/ Webinars/Online coding competition /Project competitions/ Industry Internships.

Project and Experiential based learning.

Choice based credit structure allows students to do interdisciplinary minors as well.

Opportunities for Research in India/Abroad.

Provision of up to 100% Scholarship.

Opportunities for hands-on projects focusing on real-world applications of AI and machine learning.

Regular seminars and workshops by industry experts and researchers in AI-ML.

Independent research or thesis project in the AI-ML domain.

Supervised by faculty members with expertise in AI-ML.

Our Top Recruiters

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

A career path in MTech in Artificial Intelligence and Machine Learning (AI/ML) /MTech in Data Science offers a wide range of opportunities in various industries. Here's a general career path for individuals with an M.Tech degree in AI/ML:

Entry-Level Positions:

  • Data Scientist/Analyst: Analyzing and interpreting complex datasets to inform business decisions.
  • Machine Learning Engineer: Developing and deploying machine learning models for specific applications.
  • AI Researcher: Conducting research to advance AI/ML and Data Science algorithms and techniques.

Mid-Level Positions:

  • Senior Data Scientist/Lead Analyst: Leading data science teams and driving more complex analytical projects.Taking on more advanced roles in developing and optimizing machine learning algorithms.
  • Research Scientist: Leading or participating in AI/ML and Data Science research projects.

Specialized Roles:

  • Computer Vision Engineer: Specializing in image and video processing applications.
  • Natural Language Processing (NLP) Engineer: Focusing on language-related AI applications.
  • Reinforcement Learning Engineer: Working on AI systems that learn from trial and error.

Management and Leadership Roles:

  • Management and Leadership Roles: AI/ML and Data Science Team Manager: Leading and managing a team of AI/ML and Data Science professionals.
  • Director of AI/ML and Data Science: Overseeing the strategic implementation of AI/ML and Data Science Initiatives in an organization.
  • Chief Data Officer (CDO): Assuming a leadership role in data strategy and governance.

Entrepreneurship:

  • Entrepreneurship: AI/ML and Data Science Startup Founder: Starting your own company to develop AI/ML solutions or products.
  • Consultant/Advisor: Providing expertise to businesses on implementing AI/ML strategies.

Research and Academia:

  • Ph.D. Pursuit: Opting for further academic research and pursuing a Ph.D. in AI/ML and Data Science.
  • Faculty/Researcher: Teaching and conducting research at academic institutions.

Specialized Industries:

  • Healthcare AI Specialist: Applying AI/ML and Data Science in healthcare for diagnostics, drug discovery, and personalized medicine.
  • Financial AI Analyst: Utilizing AI/ML and Data Science for risk assessment, fraud detection, and algorithmic trading.
  • Autonomous Systems Engineer: Working on AI for autonomous vehicles, drones, and robotics.

Why Pursue a M.Tech Computer Science and Engineering (CSE)?

  • In-Depth Knowledge: Gain specialized, in-depth knowledge in artificial intelligence and machine learning, covering algorithms, models, and techniques used in the field.
  • Cutting-Edge Technology: Stay abreast of the latest developments in AI-ML technologies, including advancements in deep learning, natural language processing, computer vision, and reinforcement learning.
  • Industry-Relevant Skills: Acquire hands-on experience with industry-standard tools and frameworks, such as TensorFlow, PyTorch, and scikit-learn, making you proficient in tools widely used in the AI-ML industry.
  • Career Opportunities: Open doors to diverse career opportunities in sectors such as finance, healthcare, e-commerce, autonomous systems, and more, where AI-ML applications are increasingly prevalent.
  • High Demand in the Job Market: Benefit from the high demand for AI-ML professionals, with companies actively seeking individuals with expertise in these areas to drive innovation and solve complex problems.
  • Versatility: Acquire a skill set that is versatile and applicable across various domains, allowing you to work on a wide range of projects and applications.
  • Research Opportunities: Engage in cutting-edge research projects, contributing to the advancement of AI-ML knowledge and potentially publishing research findings in conferences or journals.
  • Problem-Solving Skills: Develop strong problem-solving skills as you tackle real-world challenges, applying AI-ML techniques to analyze data, make predictions, and create intelligent systems.
  • Entrepreneurial Opportunities: Gain the knowledge and skills to explore entrepreneurial opportunities in AI-ML, whether by starting your own venture or contributing to innovative projects within established companies.
  • Global Relevance: AI-ML is a globally relevant field, and skills acquired during the program are applicable not only in your home country but also internationally, providing a broad scope for career mobility.
  • Continuous Learning: Foster a mindset of continuous learning as AI-ML is a rapidly evolving field. The program equips you with the skills to adapt to new technologies and methodologies throughout your career.
  • Competitive Advantage: Gain a competitive advantage in the job market with a specialized M.Tech degree, positioning yourself as an expert in one of the most sought-after fields in technology.

Fee Details for M.Tech Computer Science & Engineering (CSE)

  • Course Level

    Course Fee (Annual): INR 1,37,200 US $ 4000

  • Duration

    Duration: 2 Years

  • MANAV RACHNA INTERNATIONAL Brochure (PDF)

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): In favor of “Manav Rachna International Institute of Research and Studies”, payable at Faridabad/New Delhi
  • 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 Computer Science & Engineering (CSE)

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 for MRNAT or Submit JEE 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 for MRNAT or Submit JEE Score

Get qualified through MRNAT (Manav Rachna National Aptitude Test) or produce a valid JEE Main score for merit-based admission.

PO's and PSO's

Program Outcomes (PO's)

PO1

Engineering knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2

Problem Analysis

Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3

Design/Development of Solutions

Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4

Conduct Investigations of Complex Problems

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5

Modern Tool Usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6

The Engineer and Society

Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7

Environment and Sustainability

Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication

Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11

Project Management and Finance

Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12

Life-long Learning

Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSO's) 

Legacy Software:
Upgrade and maintain legacy software systems by using modern techniques, programming skills, and tools.

Development of Software Systems:
Develop, test, and maintain software systems for business and other applications that meet the automation needs of society and industry.

Research and Development:
Cultivate the field of computing and its latest trends to pursue teaching, research & development activities, and to work effectively in a team.

Frequently Ask Questions

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?

Contact Us

Icon location ADDRESS

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