Counselling Code - 5912

Admission Merit Scholarship admission
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The M.E. in Computer Science and Engineering program is designed to provide advanced knowledge and research skills in cutting-edge areas of computer science. This program prepares students for leadership roles in industry and academia.

The curriculum focuses on both theoretical foundations and practical applications in emerging technologies like Artificial Intelligence, Data Science, Cloud Computing, Cybersecurity, and Internet of Things.

  • Advanced coursework in specialized areas of computer science
  • Research-oriented program with thesis component
  • Industry collaborations and internship opportunities
  • Experienced faculty with research expertise
  • State-of-the-art computing facilities

Duration: 2 Years (4 Semesters)

Eligibility: B.E./B.Tech in CSE/IT or M.Sc. in Computer Science/IT with valid GATE score

Course Fee: As per University Regulations

THE VISION

"To be a center of excellence in computer science education and research, producing innovative professionals capable of addressing complex technological challenges in the digital era."

THE MISSION

  • To provide advanced technical education in computer science through innovative teaching and research methodologies.
  • To foster industry-academia collaboration for solving real-world computing problems.
  • To promote ethical computing practices and lifelong learning among students.
  • To contribute to the development of sustainable computing solutions for societal benefit.

The Department of Computer Science and Engineering offers a comprehensive postgraduate program that combines theoretical knowledge with practical applications in advanced computing technologies. Our faculty members are experts in their respective fields with extensive research and industry experience.

The program focuses on:

  • Advanced algorithms and data structures
  • Artificial Intelligence and Machine Learning
  • Data Science and Big Data Analytics
  • Cloud Computing and Distributed Systems
  • Cybersecurity and Network Security
  • Internet of Things and Edge Computing

Students have opportunities to work on cutting-edge research projects and collaborate with industry partners on real-world computing challenges.

  • ADVANCED COMPUTING LAB
  • ARTIFICIAL INTELLIGENCE LAB
  • DATA SCIENCE LAB
  • CLOUD COMPUTING LAB
  • CYBERSECURITY LAB
  • INTERNET OF THINGS LAB
  • HIGH PERFORMANCE COMPUTING LAB
  • SOFTWARE ENGINEERING LAB
  • NETWORK SYSTEMS LAB
  • RESEARCH LAB FOR EMERGING TECHNOLOGIES
  • To provide advanced knowledge in computer science theory and practice, enabling graduates to analyze, design, and implement complex computing solutions.
  • To develop research skills for innovation in computing technologies and systems.
  • To prepare graduates for leadership roles in IT industries, research organizations, and academia.
  • To foster professional ethics and commitment to lifelong learning in the rapidly evolving field of computer science.
  • To develop the ability to address societal challenges through advanced computing technologies.

Postgraduate students will be able to:

  • Advanced Knowledge Apply advanced knowledge of mathematics and computer science to solve complex computing problems.
  • Problem Analysis Identify, formulate, and analyze complex computing problems using research principles.
  • Design/Development Design and develop solutions for complex computing systems considering security, scalability, and efficiency.
  • Research Skills Conduct investigations of complex computing problems using appropriate research methodologies.
  • Modern Tools Create, select, and apply appropriate techniques and modern computing tools for system design and analysis.
  • Professional Ethics Apply ethical principles and commit to professional ethics in computing practice.
  • Communication Communicate effectively on complex technical activities with both technical and non-technical audiences.
  • Project Management Demonstrate knowledge of engineering and management principles to manage computing projects.
  • Lifelong Learning Recognize the need for and engage in independent lifelong learning in the context of technological change.

Graduates of the M.E. Computer Science and Engineering program will be able to:

  • Design and implement advanced computing systems and applications using contemporary technologies.
  • Apply machine learning and data science techniques to solve real-world problems.
  • Develop secure and scalable software systems for diverse application domains.
  • Conduct research and contribute to the advancement of computing technologies.