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  M.Tech.COMPUTER SCIENCE ENGINEERING
List of the Undergraduate Programs
 
 

About the Course

The Master’s in Computer Science and Engineering programme aims at equipping the graduates, with advanced conceptual knowledge, technical skills and ability to pursue research in the field of Computer Science and Engineering, appropriate to the present ICT scenario. Apart from the core courses, the student may choose electives depending on his/her interests.

 

Salient Features

  • The curriculum is oriented towards research and solutions to real life problems.
  • The students are taught through case studies by industry experts.
  • Visits are arranged regularly to various industries and organizations.
  • The school provides a user-friendly and a conductive ambience for learning.
  • Ample opportunities for research and development activities are provided.
 
Course duration: Full time- 2 years
Eligibility Criteria

B.E/ B.Tech Degree in CSE / ECE / EEE / EIE/IT, MCA, M.Sc in IT/CS, AMIE or other equivalent degree.

 

Curriculum

Core subjects:

Elective subjects:
  • Mathematical foundations of Computer Science Data structures and algorithms. Advanced Computer Architecture Computer Networks Advanced network administration Relational databases Compiler design Software engineering Advanced Operating system Enterprise resource planning Internet programming tools Modeling and Simulation
  • Theory of computation, Network Security, Soft Computing, Embedded Systems, Advanced Soft computing, Digital Imaging, Mobile computing, Software Quality Assurance, Distributed Computing, Ad hoc Networks, Multimedia Systems, Data Warehousing and Data Mining, XML and Web services, Software Project Management, Bio Informatics, Component based technology, Performance Evaluation of Computer Systems & Networks, Pattern recognition, Agent based intelligent systems, Advanced Database Technology, Speech Technology, Business Process Planning, Image processing, Wireless sensors Networks and Programming, Grid computing and Visualization Techniques.
 

Value Added Training
  • Programming Logic & C
  • C++
  • Multimedia
  • Java
  • Android development
  • Nano Technology
  • CISCO Certification
  • ORACLE WDP course
  • SAP B1 Training
  • MSP 430 training

Areas of Research

Wireless sensor network, Grid computing, Ad hoc network, Cloud computing, Pattern recognition, Data mining & Data warehousing, Natural language processing, Image processing, Software engineering, Soft computing and Android.

 
 
 
 
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