Transform your passion for technology into a successful career with a UGC-recognised MCA Distance Education course designed for the digital era. Develop expertise in Programming Languages (Java, Python, C++), Full Stack Development, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Cloud Computing, Cybersecurity, Software Engineering, Database Management Systems (DBMS), Mobile Application Development, Web Technologies, Internet of Things (IoT), DevOps, Blockchain, UI/UX Design, Data Analytics, and Enterprise Application Development. Ideal for graduates and IT professionals seeking advanced technical skills and leadership opportunities in the global technology sector.
Career Opportunities: Software Developer, Full Stack Developer, AI/ML Engineer, Data Scientist, Cloud Solutions Architect, Cybersecurity Analyst, DevOps Engineer, Mobile App Developer, Database Administrator, Systems Analyst, IT Consultant, Software Architect, Technical Project Manager, Technology Consultant.
Eligibility
- B.Sc. Degree in Mathematics / Statistics / Applied Science / Computer Science / IT, or B.Sc. Physics / Chemistry / Electronics with Mathematics as an ancillary subject, or BCA / B.Com / BBA with Mathematics / Statistics / Business Mathematics at +2 level
Duration
2 years, semester pattern
Subjects / Course Content
Semester I
- Digital Computer Organization
- Object Oriented Programming and C++
- Data Structure and Algorithms
- Discrete Mathematics
- Data Structures using C++ Lab
Semester II
- Accounting and Financial Management
- Relational Database Management Systems (RDBMS)
- Computer Graphics
- Visual Programming with .NET
- VB.NET and RDBMS Lab
Semester III
- Software Engineering
- Operating System
- Internet and Java Programming
- Computer Networks
- Data Mining and Warehousing
- Internet and Java Programming Lab
Semester IV
- Internet of Things (IoT)
- Artificial Intelligence and Soft Computing
- Big Data Analytics and R Programming
- Mobile Application Development
- Project Work
MCA
Eligibility
- B.Sc. Mathematics / Statistics / Applied Science / Computer Science / IT, or BCA / B.Com / BBA with Mathematics or Statistics at +2 level.
Duration
2 years, semester pattern
Subjects / Course Content
Semester I
- Digital Computer Organization
- Object Oriented Programming and C++
- Data Structure and Algorithms
- Discrete Mathematics
Semester II
- Accounting and Financial Management
- Computer Graphics
Semester III
- Software Engineering
- Operating System
- Internet and Java Programming
- Computer Networks
- Data Mining and Warehousing
Semester IV
- Internet of Things
- Artificial Intelligence
- Soft Computing
- Big Data Analytics and R Programming
- Mobile Application Development
- RDBMS
- VB.NET and RDBMS
- Project Work