M.E Computer Science & Engineering
Elevate your career with cutting-edge expertise in AI, Machine Learning, Data Science, and advanced computing technologies. Join our research-oriented postgraduate program designed for innovation and industry leadership.
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Why Choose M.E Computer Science and Engineering at JKKN?
The Master of Engineering (M.E) in Computer Science and Engineering at JKKN College of Engineering is a premier postgraduate program designed to develop advanced expertise in cutting-edge computing technologies. Our curriculum focuses on emerging areas such as Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Cloud Computing, and IoT.
With a perfect blend of theoretical knowledge and practical research, our program prepares students for leadership roles in technology organizations, research institutions, and academia. Students work on real-world projects, publish research papers in international journals, and collaborate with industry partners on innovative solutions.
Our state-of-the-art laboratories, experienced faculty with PhD qualifications, and strong industry connections ensure that graduates are well-equipped to tackle complex technological challenges and drive innovation in their respective domains.
The program emphasizes research methodology, advanced problem-solving skills, and independent thinking, making it ideal for aspiring researchers, technology leaders, and innovators who want to make a significant impact in the field of computer science and engineering.
Quick Facts
Important Dates
Excellence in Postgraduate Education
Our M.E CSE program stands out for its research focus, industry relevance, and commitment to academic excellence
Choose Your Domain of Expertise
Specialize in cutting-edge areas and become an expert in your chosen field
Artificial Intelligence & Machine Learning
Deep dive into neural networks, deep learning, natural language processing, and computer vision. Work on AI-powered applications and intelligent systems.
Data Science & Big Data Analytics
Master data mining, predictive analytics, big data frameworks, and visualization techniques. Transform data into actionable insights.
Cybersecurity & Network Security
Learn ethical hacking, cryptography, network defense, and security protocols. Protect systems from cyber threats and vulnerabilities.
Cloud Computing & Distributed Systems
Explore cloud architectures, distributed computing, virtualization, and containerization. Build scalable cloud-native applications.
Computer Vision & Image Processing
Master image analysis, object detection, facial recognition, and video analytics. Apply vision technology to real-world problems.
Internet of Things & Embedded Systems
Design smart devices, sensor networks, and embedded applications. Create connected systems for automation and monitoring.
Comprehensive 2-Year Curriculum
Anna University affiliated M.E. Computer Science and Engineering program with industry-oriented courses and research focus
Year 1
Semester 1
Total Credits: 20
Semester 2
Total Credits: 20
Year 2
Semester 3
Total Credits: 20
Semester 4
Total Credits: 20
Admission Requirements & Process
Academic Requirements
- BE/B.Tech in Computer Science, Information Technology, Electronics, or related branches
- Minimum 50% aggregate marks (45% for SC/ST candidates)
- Valid TANCET score or GATE qualification (preferred but not mandatory)
- Candidates with relevant work experience will be given preference
- Final year students can apply (admission subject to completion)
Admission Process
- 1Submit online application with academic transcripts and certificates
- 2Appear for entrance exam (TANCET) or submit GATE scorecard
- 3Attend counselling session (online or offline)
- 4Document verification and seat confirmation
- 5Complete admission formalities and fee payment
State-of-the-Art Research Facilities
AI & Machine Learning Lab
High-performance computing systems with GPU clusters for deep learning research
Cybersecurity Lab
Ethical hacking tools, network security appliances, and forensic systems
Cloud Computing Lab
AWS, Azure, and Google Cloud platforms with virtualization infrastructure
IoT & Embedded Systems Lab
Sensors, microcontrollers, development boards, and smart devices
Outstanding Placement Record
Top Recruiters
Learn from Industry Experts
Dr. J.S. Narmadha
Professor
M.E-CSE., Ph.D
Mrs. O. Isvarya Lakshmi
Assistant Professor
M.E-CSE.
Frequently Asked Questions
Find answers to common questions about our ME CSE program
Ready to Advance Your Career?
Join our ME CSE program and become a leader in cutting-edge technology. Limited seats available!