Master of Technology - Computer Science M.Tech CS

School of Computer & Systems Sciences

The M.Tech (Computer Science) course gives in-depth & detailed knowledge of various fields of computer science. The programme is designed to make students professionally sound to cope with the challenges of the modern-day IT sector. The students have an option to undertake project work in lieu of some of the course. The programme aims at preparing the students to take up application, research and development activities in core and emerging areas in Computer Science, with focus on AI and AI-related applications in a distributed computing environment. The programme includes advanced level courses in Computer Architecture, Networking, Algorithms, Databases, Distributed Computing and Computational Intelligence. This programme will provide a strong base in Computer Science for those who opt for an exciting career in industry. The programme creates human resources capable of supporting R&D activities in critical areas like automated, secured, monitoring and surveillance systems, medical diagnostics, intelligent monitoring systems etc. Diverse platforms are available for implementation and a huge volume of data is available for analysis, knowledge mining activities associated with biological systems, medical field, data related to climate changes etc., and create ample employment opportunities.

Key Information

Duration

2 Years

Eligibility

B.Tech.CS.IT/MCA/M.Sc IT/ CS with min. 55%

Selection Procedure

Entrance Test + PI

Scholarship

As per University norms

Pedagogy

GB Classroom teaching, Smart class to Interactive Classroom teaching, Smart classes

Programme Structure

  • Cryptography & Network Security
  • AI and Fuzzy Logic
  • Advanced Operating Systems
  • Advanced DBMS
  • Elective -1
Practicals & Sessionals
  • Cryptography Lab.
  • ADBMS Lab.
  • Advanced Data Structures & Algorithms
  • Advanced Computer Architecture
  • Real Time and Embedded Systems
  • Data Mining and Bio Informatics
  • Elective -2
Practicals & Sessionals
  • Algorithm Analysis Lab.
  • Wireless & Mobile Com Lab.
  • Digital Signal Processing
  • Research Methodology
  • Parallel & Distributed Computing
  • Advanced Compiler Design
  • Elective-3
Practicals & Sessionals
  • Digital Signal Processing Lab
  • Seminar
  • Big Data Analytics
  • Machine Learning
  • Electives:
    • Object Oriented Design & Construction
    • Modern Compiler Design
    • Advance Data Communication & Network
    • Soft Computing
    • Wireless and Mobile Communication
    • Simulation and Modelling
    • Data Mining & Knowledge Management
    • Animation and Advanced Computer Graphics

Career Prospects

  • Big Data Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • Blockchain Developer
  • Software Developer
  • System Analyst
  • Database System Administrator
  • Information System Manager
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