Eligibility
Graduation (10+2+3) in any stream with a minimum of 50% of the aggregate marks.
DATA
Master of Computer Applications is a 3-year (6-semester) AICTE approved Masters Degree in applied computer science. It aims at producing trained professionals who can successfully meet the growing demands of the Information Technology industry. The core focus of the course is on network and internet technologies, application programming, system level programming and database management. The electives in the later semesters provide for progressive specialization in chosen areas. Adequate emphasis is given to the Open Source Software platform.
Semester I
Digital Logic Design
Programming & Problem Solving through C
Organisational Behaviour
Accounting and Financial Management
Discrete Mathematics
Programming and Problem Solving Through C Lab
Digital Logic Design Lab
Semester II
Theory of Computation
Data Structures Using C ++
Object Oriented Programming and Design
Computer Graphics
Computer Organisation and Architecture
Probability Theory
Data Structures Using C++ Lab
Object Oriented Programming and design Lab
Computer Graphics Lab
Computer Organisation and Architecture lab
Semester III
Database Management Systems I
Data Communication and Networks I
Operating System
Design and Analysis of Algorithms
Programming Through Java
Operating System Lab
Design and Analysis of Algorithms Lab
Programming Through Java Lab
Database Management Systems I Lab
Semester IV
Software Engineering
Data Communication and Networks II & Network Programming using Linux
Database Management Systems II
Internet Technology and Applications
System Programming
Enterprise Resource Planning
Data Communication and Networks II and Network programming Using Linux Lab
Internet Technology and Applications Lab
Database Management Systems II Lab
System Programming Lab
Semester V
Artificial Intelligence
Emerging Trends in Information Technology
Research Methodology and Statistical Tools
Cyber Law and IT Security (Electives)
E-Commerce and Data Security (Electives)
Data Warehousing and Data Mining (Electives)
Artificial Intelligence Lab (Electives)
Research Methodology and Statistical Tools Lab (Electives)
Major Project - phase I (Electives)
Communication Skills (Electives)
Semester VI
Major Project - phase II 