MCA

Master of Computer Application (MCA)

Course Description

The Master of Computer Aapplications degree program is ls in the field of computer applications. It goes beyond the fundamentals, delving into complex areas such as software development, algorithm design, artificial intelligence, and data analytics. The program places a strong emphasis on research, critical thinking, and the practical application of theoretical concepts, preparing graduates for leadership roles in the rapidly evolving IT industry.

Eligibility

Entry Level Qualifications for MCA Programme are as per the following:

The minimum eligibility criteria for admission in ODL MCA programme is Graduation in any stream from a Recognized University. Entrance Test will be conducted by the University for admission. Students, those have not studied computer science as a subject during XII or Graduation are required to go through a Bridge Course.

Program Objectives

Acquire the ability to understand, analyze and develop computer programs.
Learn how to solve real-world problems and meet the challenges of the future.
Gain the ability to employ modern computer languages.
Open doors for many innovative career paths.
Integrate and apply efficiently the contemporary IT tools to all computer applications.

Title of the Course
Mathematical Foundation for Computer Application
Fundamental of Computer and Programming in C
Operationg Systems
Database Management System
Software Engineering and Project Management
Virtualization and Cloud Technology
Web Technology Lab
Trans-Disciplinary Project

Title of the Course
Object Oriented Programming Java
Data Structures and Algorithms using C
Computer Networks
Machine Learning with Python
Program Elective I
Linux and Shell Programming
Trans-Disciplinary Project
Program Elective I (AI)
Introduction to Data Science
Data Mining and Warehousing
Data Visualization
Program Elective I (CTIS)
Cloud Architectural Patterns
Cybercrime and IT Law
Data Visualization

Title of the Course(Electives in AI)
Design and Analysis of Algoritham
Deep Learning
Natural Processing Language
Program Elective II
Aritificial Intelligences and Intelligent Agents
Seminar
Summer Internship
Trans- Desciplinary Project
Programme Elective II
Big Data Analytics
Knowledge Engineering and Expert Systems
Pattern Recogniton
Block Chain

Title of the Course
Project/ Research Project/ Industrial Project/ Industry Intership/ Project in an academic Institute/ Lab of National Importance (Research Publications)
Trans- Desciplinary Project

Louis Ferguson

Instructor of Marketing

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About Instructor

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