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Master of Computer Applications

Master of Computer Application

Program Overview

The Master of Computer Applications (MCA) is a postgraduate degree designed to provide students with advanced knowledge and skills in computer applications and software development. The program focuses on both theoretical concepts and practical applications, preparing graduates for various roles in the IT industry.

Core Courses

Programming Fundamentals

Introduction to programming languages (such as C, Java, Python) and basic programming concepts.

 

Data Structures and Algorithms

Study of data organization and manipulation techniques, along with algorithm design and analysis.

 

Database Management Systems

Concepts of database design, SQL, and data modeling, including relational and non-relational databases.

 

Software Engineering

Principles and practices of software development, including the software development lifecycle (SDLC) and project management.

 

Web Technologies

Overview of web development, including HTML, CSS, JavaScript, and frameworks like React or Angular.

1.      

Operating Systems

Concepts of operating systems, including process management, memory management, and file systems.

 

Networking and Security

Introduction to computer networks, protocols, and security practices to protect data and systems.

 

Mobile Application Development

Techniques and tools for developing applications for mobile devices, covering platforms like Android and iOS.

 

Electives

Students can often choose electives to specialize in areas such as:

Artificial Intelligence: Fundamentals of AI, machine learning, and natural language processing.

Cloud Computing: Concepts of cloud architecture, services, and deployment models.

Big Data Analytics: Tools and techniques for analyzing large datasets and deriving insights.

Project Work

Industry Project/Internship: A practical project or internship where students apply their knowledge to real-world problems, often in collaboration with industry partners.

 

Eligibility Criteria for MCA

Educational Qualifications

 

Bachelor’s Degree: Candidates typically need a bachelor’s degree in Computer Applications (BCA), Computer Science, Information Technology, or a related field.

Minimum Percentage: Require a minimum percentage (often around 50-60%) in the qualifying degree.

 

Mathematics Requirement

Candidates should have studied Mathematics at the higher secondary level (12th grade) or in their undergraduate program.

 

Learning Outcomes

Graduates of the MCA program will:

  • Acquire strong programming and software development skills.
  • Develop expertise in database management and data analysis.
  • Gain understanding of networking and security protocols.
  • Be equipped to work on web and mobile application development projects.

Career Opportunities

MCA graduates can pursue careers in various fields, including:

  • Software Development
  • Database Administration
  • Systems Analysis
  • Network Administration
  • Web Development
  • IT Project Management

Skills Developed

  • Problem-solving and analytical skills.
  • Team collaboration and communication abilities.
  • Technical proficiency in programming and software tools.

Overall, the MCA program is designed to prepare students for a dynamic and rapidly evolving technology landscape, equipping them with the necessary skills and knowledge to excel in various IT roles.

 

 

 

Year – 1

Semester – 1

Semester – 2

Name of the paper

Credit

Name of the paper

Credit

Computational mathematics

4

Fundamentals of management and organization behaviour

4

Computerr organization and architecture

4

Data analytics

4

Object oriented programming, analyusis and design

4

Java programming

4

Modern operating systems

4

Data structures and algorithms

4

Advance database design concepts

4

Artificial intelligence and knowledge managemnt

4

Computer network

4

Elective courses

Lab – 1

2

Program elective – 1

4

Lab – 2

2

Lab – 1

2

 

 

Lab – 2

2

Year – 2

Semester – 3

Semester – 4

Name of the paper

Credit

Name of the paper

Credit

Software engineering principles

4

 

 

 

Project work

 

 

 

 

20

Machine learning

4

Visual programming

4

Web technologies

4

Elective courses

Program elective – 2

4

Program elective – 3

4

Lab – 1

2

 

Lab – 2

2

Total credit – 104

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