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Online MCA (Master of Computer Applications)

Our online MCA degree course offers a comprehensive two-year degree program at affordable fees. The course curriculum covers a range of topics, developing students' programming skills and equipping them to apply mathematics to explore challenging IT roles. With a flexible learning option, students can practice coding in a shared programming environment to upskill and explore potential careers.

Duration
2 Years
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Online MCA Program Overview & Structure

About This Course

Our online Master's in Computer Applications (MCA) program is structured across four semesters, equipping students with interpersonal skills and enabling them to cultivate their coding skills in a real-time, practical collaboration environment. Our semester modules focus on advanced information technology subjects to prepare students for their career goals.

Exit option of PGDCA after completing 2 semesters of the first year.

Course Curriculum

Master of Computer Applications

Comprehensive MCA program focused on software development, data science, AI, and modern computing technologies.

Introduction to networks, computer architecture, programming in C, mathematics, and communication skills.

  • Data Communication & Computer Networks (CSM-6111)
  • Computer Organization & Architecture (CSM-6112)
  • Professional Communication (ENM-6101)
  • Discrete Mathematics (CSM-6113)
  • Accountancy and Financial Management (CSM-6114)
  • Programming with C (CSM-6115)
  • Programming with C Lab (CSM-6151)

Focus on web programming, cybersecurity, algorithms, data structures, and system design.

  • Web Programming (CSM-6211)
  • Advance Cyber Security (CSM-6212)
  • Management Information System (CSM-6213)
  • Design & Analysis of Algorithm (CSM-6214)
  • Data Structure using C++ (CSM-6215)
  • DAA and Web Programming Lab (CSM-6251)
  • Data Structure using C++ Lab (CSM-6252)

Advanced topics including AI, machine learning, Java, data science, and database systems.

  • Artificial Intelligence and Machine Learning (CSM-7111)
  • Data Science using R Programming (CSM-7112)
  • OOP’s Technologies and Java Programming (CSM-7113)
  • Advanced DBMS (CSM-7114)
  • Soft Computing Techniques (CSM-7116)
  • Java Programming Lab (CSM-7151)
  • Data Science using R Lab (CSM-7152)

Final semester covers big data, cloud computing, Python, and project work.

  • Big Data Analytics (CSM-7211)
  • Mobile Computing (CSM-7212)
  • Deep Learning (CSM-7213)
  • Cloud Computing and Internet of Things (CSM-7214)
  • Python Programming (CSM-7215)
  • Python Programming Lab (CSM-7251)
  • Project (CSM-7291)

Course Eligibility

Applicants must have passed 10+2 from a recognized board.

Candidates must hold a BCA or equivalent graduation degree from an accredited university.