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M.Tech. Computer Science & Engineering
Key Facts & Figures
M.Tech. Computer Science & Engineering
Semester Fee
62,500 INR
Mode of study
Medium of Instruction
Credit Points
DAV University Campus
Start date

M.Tech. Programme at DAV University: Advance Your Career in Computer Science & Engineering

M.Tech. Computer Science & Engineering

Explore the M.Tech. programme at DAV University. Gain advanced knowledge, research opportunities, and industry collaboration to excel in computer science and engineering.

M.Tech., Computer Science, Engineering, DAV University, Research, Industry Collaboration, Advanced Studies, Career Advancement"


B.Tech. Computer Science & Engineering with 50% marks (45% marks in case of candidate belonging to SC/ST)

Why this programme?

Choosing to pursue a Master of Technology (M.Tech) in Computer Science and Engineering (CSE) can offer several benefits:

Advanced Knowledge and Understanding: M.Tech programs delve deeper into theoretical concepts and practical applications than undergraduate degrees. You'll gain a more profound understanding of computer science principles, which can be invaluable in research or advanced technical roles.

Research Opportunities: Many M.Tech programs offer opportunities for research projects, either within the university or in collaboration with industry partners. Engaging in research can enhance your problem-solving skills, expand your knowledge base, and potentially lead to publications or patents.

Career Advancement: Having an M.Tech degree can open up higher-level career opportunities and increase your earning potential. Employers often value candidates with advanced degrees for roles in software engineering, research and development, academia, and leadership positions.

Enhanced Professional Skills: The coursework involved in an M.Tech program will help you to develop advanced technical and analytical skills that will be highly valued by employers.

Better Career Scope: It is an advanced study program in Computer Science engineering and technology that leads to research in engineering. It is capable of opening many doors of opportunity for the students who pursue this program.

During Your Study

In the M.Tech. programme at DAV University:

Advanced Curriculum: Dive deep into computer science and engineering topics.

Research Opportunities: Engage in cutting-edge research projects.

Hands-on Learning: Apply theory to real-world problems through projects and workshops.

Industry Collaboration: Access internships, projects, and guest lectures.

Personal and Professional Development: Enhance essential skills like communication and leadership.

Community Engagement: Participate in extracurricular activities and clubs.

Support Services: Receive academic and personal support throughout your journey.

Semester I
  • Research Methodology
  • Numerical Analysis
  • Advance Computer Networks & Simulation
  • Data Mining & Warehousing
  • Parallel Computing & Architecture
  • Advance Computer Networks & Simulation- Lab
  • Data Mining & Warehousing-Lab
Semester II
  • Digital Image Processing
  • Discipline Specific Elective -1
  • Discipline Specific Elective -2
  • Discipline Specific Elective -3
  • Generic Elective-1
  • Digital Image Processing Lab
  • Discipline Specific Elective -2 Lab
  • Seminar Based on literature survey
  • Discipline Specific Elective -4
  • Generic Elective -2
  • Dissertation Part - 1
  • Dissertation Part - 2
Discipline Specific Electives-I
  • Information Security and risk management
  • Software Metrics and Quality Engineering
  • Pattern Recognition & Analysis
  • Distributed Databases
  • Artificial Intelligence
Discipline Specific Electives-II
  • Wireless Data Networks
  • Agile Software Development Approaches
  • Bioinformatics
  • Distributed Computing Systems
  • Advanced Data Structure & Algorithms
Discipline Specific Electives-II Lab
  • Wireless Data Networks Lab
  • Agile Software Development Lab
  • Bioinformatics Lab
  • Distributed Computing Systems lab
  • Advanced Data Structure & Algorithms Lab
Discipline Specific Electives-III
  • Network Security
  • Unified Software Configuration Management
  • Machine Learning
  • Cloud Computing
  • Natural language and Processing
Discipline Specific Electives-IV
  • Network Intrusion Detection
  • Software Project Management
  • Medical Image Analysis & Visualization
  • Grid Computing
  • Evolutionary Methods

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