3 Years
Post Graduate
Computer Science and IT
Online
Online MCA syllabus typically includes programming, data structures, algorithms, databases, web development, and software engineering.
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 |
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