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M. Tech - Computer Science & Engineering


Fatma Hassan
Science professor
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Ashraf Badry
Science professor
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Fatma Hassan
Science professor
000-0000 - 000-000000
Ashraf Badry
Science professor
0000-000000 - 000-0000000

Course Overview

M. Tech - Computer Science & Engineering is a postgraduate Computer Science programme. Computer Science course is designed to equip with the knowledge and skills to develop innovative solutions which the modern computing industry requires. The focus is on understanding and making the right choice of abstractions thus making it possible to implement IT solutions from existing and future components. The programme covers areas such as safe and secure systems, system integration, distributed and embedded systems, networks, software engineering, algorithms and logic, system-on-chip and digital systems. After passing Master Degree, candidates have many career options in different fields.

Eligibility and admission

Bachelor’s degree or equivalent in the relevant field.

Obtained at least 50% marks (45% in case of reserved category)

Curriculum highlights

  • Design and Analysis of Algorithms
  • Advanced Computer Architecture
  • Object Oriented Data structures
  • Discrete Mathematical Structures
  • Lab I (Object Oriented Systems Lab)
  • VLSI design
  • Object Oriented Systems
  • Principles of Programming Languages
  • Embedded systems
  • Computer Graphics
  • Computer networks
  • Computer networks
  • Operating systems and system programming
  • Advanced Data Base Systems
  • Lab II (Network/Database Lab)
  • Computational Number Theory
  • Theoretical Computer Science & Automata
  • Data warehousing and data mining
  • Advanced Software Engineering
  • Pattern recognition
  • Compiler design
  • Optimization technique
  • Distributed Data Base s stems
  • Optimization technique
  • Distributed Data Base systems
  • Financial Information System
  • Formal Methods
  • Lab III (Open Source Software lab)
  • Project synopsis and comprehensive viva voce
  • Mobile Computing
  • Intelligent Systems
  • Service Oriented Computing and Web technology
  • Soft Computing
  • Digital Image Processing
  • Agent Based Computing
  • Electronic Commerce
  • Internet Technology
  • Bio-informatics
  • Parallel Computing
  • Social Network
  • Cryptography and network security
  • Software Project Management
  • Computer Simulation and modelling
  • Software Testing
  • Project work/Dissertation and Viva voce
  • Electives

The programme provides a balanced mixture of theoretical and professional training in Computer Science and Information Technology.

Students can also go for further study and research in the fundamental and applied aspects of Computer Science and Information Technology and related disciplines. Typical job profiles are IT Consultants, Software Programmers, IT analysts, Software Designers, Product Development - Analysts or Architects, Technical Analysts, Web Application Developers, Database Administrator s, Professors and Network Administrators.

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