Program Overview
The MCA (Master of Computer Applications) is a professional 2-year postgraduate program designed for aspiring technologists, coders, system architects, and IT professionals. This program equips students with advanced computer science knowledge, cutting-edge software development skills, and strong problem-solving abilities—preparing them for high-impact roles in today’s digital economy.
With a focus on real-world application, the curriculum blends core computer science concepts with emerging areas like data mining, AI, machine learning, and cloud computing. Whether you’re eyeing a role in software development, IT consulting, or data-driven enterprises—this program sets the foundation for long-term tech leadership.
Program Highlights
Master of Computer Applications (MCA)
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Eligibility
Graduation in any discipline with Mathematics at 10+2 or UG level
Mode
Hybrid (Offline + Online Learning Support)
Duration
2 Years (4 Semesters)
Course fee
Curriculum Structure
4 Semesters | 2 Year | Industry-Relevant Content
Semester 1
Course Title
Type
Programming in C and Data Structures
Core
Statistical Mathematics
Core
Operating System and Architecture
Core
Information Technology
Core
Communication Skills
Core
C and DS Lab
Core
Operating System Lab
Practical
Semester 2
Database Management System (DBMS)
Core
Computer Networks
Core
Software Engineering & UML
Core
Algorithm Design
Core
Object Oriented Programming with Java
Core
Java & OOPS Lab
Practical
DBMS Lab
Practical
Semester 3
Data Mining
Core
Artificial Intelligence
Core
Elective I (e.g., Python Programming)
DSE
Elective II (e.g., Machine Learning)
DSE
Elective III (e.g., IoT, Adv. DBMS)
DSE
Minor Project
Practical
Lab Based on Elective I
Practical
Semester 4
Elective IV (e.g., Big Data, Cloud)
DSE
Elective V (e.g., Deep Learning, Security)
DSE
Elective VI (e.g., Mobile Computing)
DSE
Major Project
Practical
Lab on Electives IV–VI
Practical
Key Electives May Include
Career Pathways
MCA graduates are in high demand across IT services, tech startups, product companies, fintech, healthcare tech, and government projects. Career options include:
Software Developer / Full Stack Developer
Systems Analyst / IT Consultant
Data Analyst / Data Engineer
Database Administrator
Cybersecurity Analyst
Cloud Solutions Architect
AI/ML Engineer
Fee Structure
Fee varies depending on specialization & mode (online/offline blend). Please contact admissions for exact breakdown.
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