M.Tech (CSE) Overview
Dear Aspirants,
"It is my privilege to welcome you to the Department of Computer Science & Engineering, accredited by NBA until June 2027. The department offers well-structured 4-year B.Tech and 2-year M.Tech programmes designed to build strong computational foundations and prepare students for the evolving global technology landscape."
Our academic framework integrates core computer science with emerging domains such as Artificial Intelligence, Data Science, Cloud Computing, and Cyber Security, enabling students to develop strong technical depth and advanced problem-solving abilities required in modern industries.
Students benefit from a premium learning ecosystem supported by modern laboratories, research-driven initiatives, and continuous industry exposure. Opportunities such as internships, live projects, technical competitions, and collaborative activities help transform academic learning into real-world competence.
With focused placement orientation, dedicated faculty mentorship, and structured skill development support, we aim to nurture confident engineers, innovative thinkers, and responsible technology professionals ready to build impactful and successful careers.
Dr. Vineet Kumar Sharma
Senior Professor & Dean, CSE
View Curriculum
Semester-wise subjects, labs & electives
Eligibility
Qualification criteria & age limit
Fee & Scholarship
Tuition, hostel & merit scholarships
Three Distinct Pathways. One Unified Excellence.
Choose the pathway that aligns with your career aspirations and professional goals
Industry Working Professionals
Designed for professionals to upskill without leaving their jobs
Solve real-world problems through workplace-based projects, guided by industry mentors. Emphasis on practical application, advanced tools, and immediate career impact.
Academic Working Professionals
Focused on building strong research and teaching capabilities
Develop review papers, explore advanced research areas, and enhance pedagogy skills. Prepare for publications, PhD programs, and academic leadership roles.
Non-Working / Fresh Graduates
Enhancing employability through immersive industry exposure
Structured full-time internships with industry or R&D organizations. Bridge the gap between academic knowledge and industry readiness with hands-on experience.
Program Highlights
15+ Years of Academic Excellence in postgraduate computing education
A Legacy of University Medalist
Full-time programme with flexible schedule and extended laboratory access
GATE scholarships (GoI norms)
Fee reimbursement for eligible SC/ST & EWS students
Financial & mentorship support for Research publications
Startup grants up to ₹10 Lakhs via KIET Technology Business Incubator
100% placement support
Merit-Based Scholarships
Department's Highlights
Strong Industry Connect & Collaboration
The department maintains a robust industry ecosystem, connecting students with leading tech companies, startups, and R&D organizations. Through internships, live projects, expert talks, and mentorship, students gain real-world exposure, making them industry-ready and highly employable from day one.
Curriculum Highlights
The M.Tech (CSE) curriculum is designed to deliver a perfect blend of strong fundamentals, emerging technologies, and real-world application. Students build expertise in core areas like Data Structures, DBMS, and Software Engineering, while advancing into AI, Machine Learning, Blockchain, and Quantum Computing.
Outstanding Placements
Our graduates secure highly competitive roles at top multinational companies and promising startups. With dedicated placement cell support, rigorous interview preparation, and skill enhancement programs, we ensure a smooth transition from academics to successful professional careers.
Cutting-Edge Research
Engage in groundbreaking research across specialized domains like AI, Data Science, and Cyber Security. We provide extensive support for publishing in reputed journals, participating in international conferences, and collaborating on government-funded and industry-sponsored projects.
State-of-the-art Infrastructure
Experience learning in world-class facilities equipped with high-end computing laboratories, smart classrooms, and collaborative workspaces. Our advanced labs are powered by the latest software and hardware to support intensive computing tasks and complex project developments.
Best Results & Academic Excellence
Our students consistently top university examinations and secure prestigious awards. This legacy of academic brilliance is driven by experienced faculty, continuous evaluations, and a learning environment that encourages analytical thinking and problem-solving.
Why Choose Our Program?
18+
Years of Excellence
100+
Industry Partners
95%
Placement Rate
Centres of Excellence
World-class facilities empowering students with cutting-edge technology and industry-grade infrastructure.
Apple certified ios development Lab
The Apple certified ios development Lab is a state-of-the-art innovation space dedicated to building world-class applications for the Apple ecosystem. Equipped with modern Mac systems, the lab enables students to master Swift, UIKit/SwiftUI, and end-to-end app development.
Students work on real-world app projects, gaining hands-on experience in performance optimization, API integration, and App Store readiness.
Supercomputing with DGX
Powered by the NVIDIA DGX A100, this Centre of Excellence brings enterprise-level AI infrastructure directly to students. It enables training of large-scale deep learning models and real-time AI deployment.
The facility acts as a launchpad for cutting-edge research, innovation, and industry-driven AI solutions.
PARAM Shavak HPC Lab
The PARAM Shavak supercomputer, developed by C-DAC, empowers students with hands-on experience in high-performance computing and parallel processing.
It supports complex simulations, big data analysis, and scientific computing—bridging the gap between academic learning and real-world computational challenges.
Clubs
Google Developer Groups (GDG)
Data Science and Deep Learning (DSDL)
Microsoft Student Ambassadors
FOSSCU (Open Source)
Faculty
Dr. Vineet Kumar Sharma
Senior Professor Dean CSE
Dr. Madhu Gautam
Associate Professor Program Head (M.Tech)
Dr. Dilkeshwar Pandey
Professor
Dr. Swati Sharma
Associate Professor
Dr. Parita Jain
Professor
Dr. Seema Maitrey
Associate Professor
Dr. Ankur Bhardwaj
Associate Professor
Dr. Neha Yadav
Associate Professor
Dr. Pranay Madhukar Meshram
Associate Professor
Dr. Preeti Garg
Associate Professor
Dr. Upendra Mishra
Associate Professor
Mr. Saurav Chandra
Assistant Professor
Dr. Himanshi Chaudhary
Assistant Professor
Mr. Gaurav Parashar
Assistant Professor
Mr. Vipin Deval
Assistant Professor
Mr. Umang Rastogi
Assistant Professor
Dr. Bharti
Assistant Professor
Mr. Pushpendra Kumar
Assistant Professor
Mr. Rahul Kumar Sharma
Assistant Professor
Mr. Gagan Thakral
Assistant Professor
Ms. Mani Dwivedi
Assistant Professor
Ms. Nishu Gupta
Assistant Professor
Ms. Deepti Singh
Assistant Professor
Mr. Omprakash Kushwaha
Assistant Professor
Mr. Yogendra Pal
Assistant Professor
Mr. Anshuman Kalia
Assistant Professor
Mr. Harsh Modi
Assistant Professor
Mr. Pavan Sharma
Assistant Professor
Ms. Neeti Pahuja
Assistant Professor
Mr. Rajanish Kumar Jain
Assistant Professor
Ms. Surbhi Jain
Assistant Professor
Ms. Maitree
Assistant Professor
Mr. Aman Srivastav
Assistant Professor
Mr. Mohit Tanwar
Assistant Professor
Mr. Vaibhaw Kori
Assistant Professor
Ms. Prabhjot Kaur
Assistant Professor
Dr. Nand Kishor Yadav
Assistant Professor
Mr. Navdesh Singh
Assistant Professor
Mr. Rishab Singh Rathore
Assistant Professor
Mr. Anikesh Kumar
Assistant Professor
Mr. Pramod Nath
Assistant Professor
Ms. Sonia Verma
Assistant Professor
Mr. Nitin Kumar
Assistant Professor
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Ms. Ritu Rai
Assistant Professor
Mr. Ravi Tomer
Assistant Manager
Mr. Sandeep Kumar
Officer-IT
Mr. Jaskirat Singh
Adjunct Faculty
Publications & Research
(Last 3 Years)
Recent Research Highlights
Quantifying overall agreement between explanation methods to address the disagreement problem
Published by Springer nature
Hybrid CNN–transformer model with BM3D and YOLOv8 for early detection of lung cancer in low-dose CT scans
Published by Nature
SGELAN-T3: A Novel Lightweight Convolutional Block for Efficient Sugarcane Stem Health Detection
Published by Sage Journals, IoS Press
Real time sugarcane stem health detection with YOLOv8 tinier and RepNCSP ELAN
Published by Nature
Program Details
Vision
- To achieve pre-eminence in providing skill-enabled technical education in the domain of Computer Science Engineering, the focus is on creating a strong academic environment that blends theoretical knowledge with practical expertise.
- This involves designing a curriculum that is industry-relevant, continuously updated, and aligned with emerging technologies such as artificial intelligence, data science, cybersecurity, and cloud computing.
- By incorporating hands-on projects, internships, and real-world problem-solving approaches, students are equipped not only with technical proficiency but also with critical thinking and innovation skills.
Mission
- To provide students with necessary skills and knowledge to meet current and future requirements using innovative teaching and learning approaches.
- To impart skill-based computer science and engineering education by adopting contemporary tools and technologies.
- To develop industry-academia alliance for practicing industry-oriented projects and internships to open new opportunities in industry, research, and entrepreneurship.
- To keep the intellectual capital of the department motivated for learning about technological changes by providing them with a conductive environment.
Program Outcomes
- Students will be able to apply advanced knowledge and skills in Computer Science and Engineering to design and develop innovative solutions, addressing real-world challenges in various domains.
- Students will exhibit leadership qualities and effectively work in multidisciplinary teams, contributing to project management, decision-making, and innovation within the industry or academia.
- Students will engage in cutting-edge research, contributing to advancements in science and engineering through research publications, patents, and the development of innovative solutions to address current and future challenges.
Infrastructure & Facilities
State-of-the-Art
Learning Spaces
Experience learning in highly advanced, air-conditioned smart classrooms designed to foster a deeply collaborative and interactive learning environment. They feature premium audio-visual systems, high-speed connectivity, and ergonomic layouts carefully tailored for group discussions and modern teaching methodologies.
Advanced
Laboratories & HPC
Immerse yourself in world-class research facilities powered by enterprise-grade hardware. Our computing laboratories contain extensive toolsets for AI, data science, and deep learning, fully supported by robust networking architecture to seamlessly handle data-intensive computational challenges.
Placement Statistics
The postgraduates of the CSE Department consistently secure top-tier placements across industry-leading organizations, reflecting our commitment to academic excellence and industry relevance.
| S.No | Batch | Average Package | Highest Package | Percentage of Placement |
|---|---|---|---|---|
| 1 | 2025-2026 | 7.58 LPA | 90 LPA | 84.76% |
| 2 | 2024-2025 | 5.95 LPA | 24.23 LPA | 90% |
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