Online MCA Program Syllabus & Subjects

Online MCA syllabus typically includes programming, data structures, algorithms, databases, web development, and software engineering.

Syllabus & Subject: Online MCA course

The syllabus for an online Master of Computer Applications (MCA) course covers a comprehensive range of topics essential for a career in computer science. It typically includes programming languages like Java and C++, data structures, algorithms, database management, web development, software engineering, computer networks, and cybersecurity. Students also delve into advanced areas such as artificial intelligence, machine learning, and data science. The curriculum is designed to provide a strong foundation in computer science principles, programming skills, and practical knowledge, enabling graduates to excel in various roles in the IT industry, from software development to system analysis and beyond. The semester-wise syllabus for the MCA Online Course is mentioned below:

Semesters	Subjects
Semester I	Accounting and Financial Management
	Computer Organization
	UNIX & Shell Programming
	Mathematical Foundation of Computer Science
	Computer and ‘C’ Programming
	Paradigms of Programming
Semester II	Computer-Based Numerical & Statistical Techniques
	Data and File Structure Using ‘C’
	Computer Architecture & Microprocessor
	Organizational Structure and Personnel Management
	Combinatory & Graph Theory
	Object-Oriented Systems in C++
Semester III	Internet & JAVA Programming
	Database Management System
	System Programming
	Design & Analysis of the Algorithm
	Operating System
	Computer Networks
Semester IV	Foundation of E-Commerce
	Modeling and Simulation
	Computer Graphics & Animation
	Visual Basic
	Software Engineering
	Elective I
Semester V	Net Framework & C
	ERP System
	WEB Technology
	Management Information System
	Elective II
	Elective III
Semester VI	Industrial Project
	seminar
	Communication Skills and Professional Management
Elective Subject	Connected Internet of Things Devices
	Software Testing
	Network Management and System Administration
	Semantic Web Technologies
	Bioinformatics
	Digital Image Processing
	Information Retrieval
	Software Defined Networks
	Object Oriented Programming Using Java
	Advanced Operating Systems
	Computer Graphics and Visualization
	Mobile Application Development
	Compiler Design
	Deep Learning
	Parallel and Distributed Computing
	Advanced Computer Networks
	Python Programming
	Advanced DBMS
	Software Engineering and Design Patterns
	Design and Analysis of Algorithms
	Pattern Recognition
	Malware Analysis
	Advanced Web Technologies and Mean Stack
Practical	DBMS Lab
	JAVA Lab
	Software Engineering Lab
	Computer Graphics Lab
	Microprocessor Lab
	DAA Lab
	Visual Basic Lab
	WEB Technology Lab
	Net Framework & C-Lab
	Colloquium
	Programming Lab
	Organization Lab
	Unix /Linux & Shell Programming Lab
	General Proficiency
	Data Structure Lab
	C++ Lab