MCA (Master of Computer Applications)

ELIGIBILITY

Any recognized degree, with 50%marks in Mathematics/Statistics/ Computer Science/ Computer Programming / Computer Applications/ Business Mathematics/ Business Statistics as one of the optional or electives at 10+2 level with 50% of marks in the subject.

CURRICULUM: M.C.A

Semester No.	Paper No.	Title of the paper
I	MCA1	Digital Logic
	MCA2	Computer Programming and Problem Solving
	MCA3	Business Data Processing Using COBOL
	MCA4	Discrete Mathematics and its Applications
	MCA5	Probability and Statistics
	MCA6	Management Skills and HRD
	MCA7	C Programming Lab
	MCA8	COBOL Lab

Semester No.	Paper No.	Title of the paper
II	MCA1	Data Structures
	MCA2	Operating Systems
	MCA3	Data Base Management Systems
	MCA4	Assembly Language Programming & Microprocessors
	MCA5	Object Oriented Programming Concepts
	MCA6	Computational Numerical Methods
	MCA7	Data Structure Lab using C ++
	MCA8	Assembly Language Programming Lab

Semester No.	Paper No.	Title of the paper
III	MCA1	Theory of Computation
	MCA2	Design and Analysis of Algorithms
	MCA3	Software Engineering
	MCA4	Computer Networks
	MCA5	Elective I
	MCA6	Software Engineering Mini Project
	MCA7	Operating System Mini Project
	MCA8	Soft Kills Lab

Electives:

1. Computer Based Optimization Techniques
2. Computer Graphics and Visualization
3. Accounting & Financial Management

Semester No.	Paper No.	Title of the paper
IV	MCA1	Internet Technologies
	MCA2	Object Oriented Analysis and Design using UML
	MCA3	Data Warehousing and Business Intelligence
	MCA4	Software Architecture
	MCA5	Elective II
	MCA6	Enterprise Computing Mini Project
	MCA7	JAVA Programming Lab
	MCA8	Elective II Mini Project

Electives:

1. Compiler Design
2. Network Programming
3. Multimedia Communication

Semester No.	Paper No.	Title of the paper
V	MCA1	Elements of Artificial Intelligence
	MCA2	E - Commerce
	MCA3	Distributed and Parallel Computing
	MCA4	Network and Information Security
	MCA5	Elective III
	MCA6	Software Project Management Lab
	MCA7	LINUX Programming Lab
	MCA8	Elective III Lab

Electives:

1. Simulation and Modeling
2. Systems
3. Bioinformatics
3. Neural Networks

Subject Code	Subject Name	Lecture & Tutorials Hrs/Week	Lab Hrs/Week	Internal Assessment	Exam Marks (maximum)	Total
VI MCA1	Project	-	-	150	350	500