Master of Computer Applications (MCA)

Develop advanced technical skills and knowledge to excel in the IT industry

🕒
2 Years
Duration
📚
4 Semesters
Course Structure
👥
60 Seats
Intake
💼
100%
Placement Assistance

Course Overview

The Master of Computer Applications (MCA) is a postgraduate program designed to meet the growing demand for qualified professionals in the field of Computer Applications. This program focuses on providing a blend of theoretical knowledge and practical skills required to solve complex business problems using the latest technologies and tools.

Our MCA program is designed to transform students into industry-ready professionals who can contribute effectively to the ever-evolving IT sector. The curriculum is regularly updated to keep pace with the latest industry trends and technological advancements.

The program emphasizes on developing problem-solving abilities, analytical thinking, and innovative approach toward addressing real-world challenges. Students get hands-on experience through various projects, internships, and industry collaborations, preparing them for successful careers in diverse IT domains.

MCA Students in Computer Lab

Key Features

👨‍🏫

Expert Faculty

Learn from experienced professors with strong academic backgrounds and industry experience.

🚀

Project-Based Learning

Emphasis on practical projects that help develop problem-solving and application development skills.

🤝

Placement Support

Dedicated placement cell that provides training and assistance in securing job opportunities.

Curriculum

Semester 1
Semester 2
Semester 3
Semester 4

Semester 1

Course Code Course Name Credits
MCA-CC-511 Mathematical Foundations for Computing 4
MCA-CC-512 Datastructures in Java 3
MCA-CC-513 Web Programming 3
MCA-CC-514 Advanced Operating Sysytem 3
MCA105 Communication Skills and Technical Writing 3
MCA-CC-515 Software Engineering 3
MCA-CC-516 Datastructues laboratory 2
MCA-CC-517 Web Technology laboratory 2
MCA-SE-4B1 Professional Development 2
MCA-SE-4B2 MOOC 2

Semester 2

Course Code Course Name Credits
MCA-CC-521 Algorithm Analysis and Design 4
MCA-CC-522 Machine learning 3
MCA-CC-523 DBMS 3
MCA-CC-524 Python Programming 3
MCA-DE-525(v) Theory of Computation(Elective 1) 3
MCA-CC-526 DBMS laboratory 2
MCA-CC-527 Machine learning laboratory 2

Semester 3

Course Code Course Name Credits
MCA301 Web Technologies 4
MCA302 Data Science and Analytics 4
MCA303 Artificial Intelligence 4
MCA304 Cloud Computing 4
MCA305 Elective I (Specialization) 3
MCA306 Web Technologies Lab 2
MCA307 Minor Project 2

Semester 4

Course Code Course Name Credits
MCA-CC-541 Dissertation Work 12
MCA-CC-542 Comprehensive Course Viva 6

Eligibility Criteria

  • Bachelor's degree in any discipline with minimum 50% marks (45% for reserved categories).
  • Bachelor's degree in BCA, B.Sc. (Computer Science/IT), B.Tech/B.E. in any stream, or any graduate with Mathematics at 10+2 level.
  • Candidates in their final year of graduation can also apply, subject to fulfilling the eligibility criteria upon declaration of results.
  • Valid score in entrance exams like LBS.

Selection Process

The selection process is based on the candidate's performance in:

  • Entrance examination (Written test) conducted by LBS