Part-Time MCA Course Syllabus
-
3 Years
-
Post Graduate
-
Computer Science and IT
-
Part Time
3 Years
Post Graduate
Computer Science and IT
Part Time
Part-time MCA courses cover programming, databases, algorithms, software engineering, web development, and IT management.
The Part-Time MCA Course syllabus is structured to equip students with a comprehensive understanding of various aspects of computer science and applications over a three-year duration. In the first year, students delve into fundamental subjects such as computer science basics, programming languages, data structures, mathematical foundations for computer applications, operating systems, database management systems, and web technologies. The second year focuses on more advanced topics including software engineering, object-oriented programming with Java, computer networks, advanced database management systems, and mobile computing. In the final year, students explore cutting-edge subjects such as cloud computing, artificial intelligence, machine learning, big data analytics, cyber security, and project work/internship. This curriculum integrates theoretical knowledge with practical skills, ensuring that students are well-prepared to meet the demands of the rapidly evolving IT industry while accommodating their professional commitments through a part-time format. Through a balanced blend of classroom lectures, hands-on lab sessions, and industry internships, students gain the necessary expertise to pursue rewarding careers in fields like software development, database administration, web development, data analytics, and cyber security, among others.
The main subjects of the course are Fundamentals of Computer Organization, Data, and File Structure, Unix & Windows Lab, Management Support System, Network Programming, etc. The whole syllabus of the route is given below:
| YEAR | SUBJECTS |
|---|---|
| First Year | Fundamentals of Computer Science |
| - Introduction to Computers and IT | |
| - Basics of Programming Languages | |
| - Data Structures | |
| - Computer Organization and Architecture | |
| Mathematical Foundation for Computer Applications | |
| - Discrete Mathematics | |
| - Probability and Statistics | |
| - Numerical Methods | |
| Operating Systems | |
| - Principles and Functions | |
| - Process Management | |
| - Memory Management | |
| - File Systems | |
| Database Management Systems | |
| - Introduction to DBMS | |
| - Relational Database Model | |
| - SQL and PL/SQL | |
| - Database Design and Normalization | |
| Web Technologies | |
| - HTML, CSS, and JavaScript | |
| - Server-side scripting (PHP, ASP.NET, JSP) | |
| - Web Development Frameworks |
| Year | - RESPONSIVE WEB DESIGN |
|---|---|
| Second Year | Software Engineering |
| - Software Development Life Cycle | |
| - Requirement Analysis and Specification | |
| - Software Design | |
| - Testing and Quality Assurance | |
| Object-Oriented Programming with Java | |
| - Introduction to OOP Concepts | |
| - Java Basics and Syntax | |
| - Inheritance and Polymorphism | |
| - GUI Programming with Swing | |
| Computer Networks | |
| - Network Topologies and Protocols | |
| - OSI Model | |
| - TCP/IP Protocol Suite | |
| - Network Security | |
| Advanced Database Management Systems | |
| - Transaction Management | |
| - Concurrency Control | |
| - Distributed Databases | |
| - NoSQL Databases | |
| Mobile Computing | |
| - Mobile Application Development Platforms | |
| - Android and iOS Development | |
| - Mobile Web Development |
| Year | MOBILE SECURITY AND PRIVACY |
|---|---|
| Third Year | Cloud Computing |
| - Introduction to Cloud Technologies | |
| - Cloud Service Models (IaaS, PaaS, SaaS) | |
| - Virtualization | |
| - Cloud Security and Management | |
| Artificial Intelligence and Machine Learning | |
| - Fundamentals of AI and ML | |
| - Supervised and Unsupervised Learning | |
| - Neural Networks and Deep Learning | |
| - Applications of AI in Computer Vision, NLP, etc. | |
| Big Data Analytics | |
| - Introduction to Big Data | |
| - Hadoop Ecosystem | |
| - Data Warehousing and Data Mining | |
| - Business Intelligence | |
| Cyber Security | |
| - Cyber Threats and Vulnerabilities | |
| - Cryptography and Network Security | |
| - Ethical Hacking and Penetration Testing | |
| - Security Policies and Compliance | |
| Project Work and Internship | |
| - Real-world project development | |
| - Industry Internship for hands-on experience | |
| - Project Presentation and Evaluation |
back
