MCA/ BE (EC/IT/CS/EE)/B. Tech (EC/IT/CS/EE)/ M.SC (CS) from any AICTE or UGC approved Institute, followed by a personal interview, and admission will be granted as per merit decided by the university.
The M.Tech program in Computer Science and Engineering is a two-year postgraduate program designed to develop advanced technical expertise, research aptitude, and leadership capabilities in the field of computing and information technologies.
The program offers in-depth learning in advanced areas such as artificial intelligence, machine learning, computer vision, distributed and cloud computing, cybersecurity, blockchain technology, data warehousing and mining, the Internet of Things, advanced software engineering, and high-performance computing. Strong emphasis is placed on analytical thinking, system-level design, and mastery of emerging technologies beyond the undergraduate level.The program adopts a research-oriented and project-driven approach, enabling students to engage in advanced laboratory work, case studies, seminars, and dissertation-based research, thereby preparing them for senior technical roles, research careers, and doctoral studies.
Eligibility
MCA/ BE (EC/IT/CS/EE)/B. Tech (EC/IT/CS/EE)/ M.SC (CS) from any AICTE or UGC approved Institute, followed by a personal interview, and admission will be granted as per merit decided by the university.
Teaching Pedagogies
The Department of Computer Science and Engineering adopts innovative, student-centric teaching pedagogies designed to enhance conceptual understanding, practical proficiency, and industry readiness. Our approach integrates modern educational practices with advanced technological tools to create an engaging and outcome-driven learning environment. Key pedagogical practices include:
Outcome-Based Education (OBE)
All courses are structured around clearly defined learning outcomes to ensure measurable academic and professional growth.
Experiential & Hands-On Learning
Emphasis on laboratory work, real-time projects, coding sessions, and technical workshops to strengthen practical understanding.
Project-Based & Problem-Based Learning
Students work on industry-relevant problems, case studies, mini-projects, and capstone projects to develop analytical and solution-oriented skills.
Flipped Classroom & Blended Learning
Classroom time is optimized through pre-class digital content, interactive discussions, and collaborative problem-solving activities.
Industry-Academia Engagement
Regular expert lectures, masterclasses, internships, and certifications through collaborations with leading MNCs enhance industry exposure.
Use of Modern ICT Tools
Smart classrooms, LMS platforms, virtual labs, simulation tools, and coding environments support interactive and technology-driven learning.
Research-Oriented Teaching
Students are encouraged to explore emerging technologies, publish research papers, participate in hackathons, and engage in innovation-driven initiatives.
Continuous Assessment & Feedback
Frequent quizzes, assignments, reviews, presentations, and peer evaluations help monitor progress and encourage continuous improvement.
Skill Development & Holistic Learning
Focus on communication skills, teamwork, professional ethics, and lifelong learning to prepare students for global professional environments.
Program Educational Objectives (PEOs)
PEO1
To produce students employable towards building a successful career based on sound understanding of theoretical and applied aspects as well as methodology to solve multidisciplinary real-life problems.
PEO2
To produce professional graduates ready to work with a sense of responsibility, ethics and enabling them to work efficiently individually and also as a team.
PEO3
To impart the competency in students so that they are able to pursue higher studies and research in areas of engineering and other professionally related fields.
PEO4
To inculcate ability to adapt to the changing technology through continuous learning.
Program Outcomes (POs)
PO1
An ability to independently carry out research /investigation and development work to solve practical problems.
PO2
An ability to write and present a substantial technical report/document.
PO3
Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program
Program Specific Outcomes (PSOs)
PSO1
Ability to analyze, design, implement, and test software systems based on requirement specifications and development methodologies of software systems.
PSO2
Apply computer science theory blended with engineering mathematics to solve computational tasks and model real world problems using appropriate programming language, data structure, and algorithms.
PSO3
Ability to explore technological advancements in various domains, evaluate its merits and identify research gaps to provide solution to new ideas and innovations.
Career Prospects
With the ever-growing demand for highly skilled professionals in the IT sector, M.Tech CSE graduates can explore a wide range of advanced and leadership-oriented career roles across research organizations, private industries, government sectors, consulting firms, and academia. In addition to the roles listed earlier, graduates may pursue the following opportunities:
They have various career opportunities as:
Research Scientist (Computer Science / AI / ML / Data Science)
Cloud Engineer / Cloud Solutions Architect
Big Data Engineer / Big Data Architect
DevOps Engineer
Software Architect
Blockchain Developer / Blockchain Researcher
IoT Solutions Architect
Automation & Robotics Engineer
Academician / Assistant Professor
Technology Consultant
IT Infrastructure Architect
Enterprise Architect
Computer Vision Engineer
High-Performance Computing (HPC) Engineer
Cloud Security Specialist
Placements
Graphic Era Deemed to be University has a strong connection to various industries, and its track record for successfully placing students in reputable positions is outstanding, with graduates being placed in internships and permanent roles. The university has formed valuable relationships with globally recognized companies such as Amazon, Microsoft, Google, Walmart, Adobe, and many more, providing students with ample opportunities to kick-start their careers.
Graduates from Graphic Era Deemed to be University can be confident in their ability to succeed in the workforce due to the exceptional training and real-world experience they gain from their internships and placements with these top-tier companies.
Notes: Semester 1 and 2 are applicable only for regular entry students. Lateral entry students begin from Semester 3.
Course Curriculum
Semester 1
Mobile Computing
Advanced Operating Systems
Networking Protocols
Research Methodology and IPR
Discipline Elective I
Data Warehousing and Mining
Cloud Computing
Internet of Things
Algorithms Design and Techniques
Wireless Sensor Networks
Applied Data Science
Applied Cyber Security
Applied AI using Python
Machine Learning
Semester 2
Computer Vision and its Applications
Distributed Computing
Artificial Intelligence & Expert Systems
Discipline Elective-II
Advance Software Engineering
Developing Applications in the Cloud
Virtual and Augmented Reality
Blockchain Technology
Microservice Architecture
Information Retrieval and Natural Language Processing
Cyber Security and Laws
Information and communication theory
Semester 3
Soft Computing
Dissertation Phase-I
Seminar
Discipline Elective-III
Service oriented cloud architecture
Intrusion detection system
Robotic Process Automation
Secure Coding Practices
Full Stack Web and Multiplatform Mobile App Development
Semester 4
Dissertation Phase-II
Seminar
Comprehensive Viva-Voce
Frequently Asked Questions
The program is of 2 years (4 semesters) duration, in accordance with UGC/AICTE norms.
Candidates must have completed B.Tech/BE (CSE/IT/EC/EE), MCA, or M.Sc. (Computer Science) from an AICTE/UGC-approved institution. Admission is based on merit and a personal interview conducted by the University.
No. GATE is not mandatory. Admissions are based on merit and/or the University’s selection process, as per UGC guidelines.
After completing M.Tech CSE, graduates can pursue careers as Software Engineers, Systems Analysts, Database Administrators, Network Architects, Data Scientists, AI/ML Engineers, Cybersecurity Specialists, and more. They can also work in research and development roles in academia, industry, or government organizations.
M.Tech CSE is a technical postgraduate degree that focuses on advanced concepts in computer science, engineering principles, and research-oriented learning.MCA, on the other hand, is a professional postgraduate degree for non-engineering graduatescentered on computer applications, software development, and industry-oriented programming skills.M.Tech is generally more technical and research-focused, while MCA emphasizes application development and IT solutions.
The syllabus of M.Tech CSE typically includes advanced topics in computer science such as Advanced Operating Systems, Networking Protocols, Advanced Algorithm Design Techniques, Applied Artificial Intelligence, Machine Learning, Computer Vision and its Applications, Distributed Computing, and Blockchain Technology
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