Approved by
UGC University
Grants Commission
Accredited with
A++ Grade by NAAC
(D Y Patil University)
Top Rank
University according to
NIRF-2023
Approved by
AICTE All India Council
for Technical Education
As businesses go digital and AI reshapes every industry, the demand for advanced tech talent continues to rise. The Online Master of Computer Applications (MCA) from D.Y. Patil (Deemed-to-be-University) is built for graduates ready to lead that change. This 2-year (4-semester) postgraduate program is designed for learners who want to upskill in software development, data analytics, cloud technologies, and emerging tools, all while enjoying the flexibility of online learning. With a practice-oriented curriculum, the program bridges academic depth through real-world projects, tool-based modules, and industry masterclasses. Whether you’re aiming for leadership roles or making a career pivot, this UGC-recognized degree helps you build the expertise to excel in tomorrow’s tech-driven world.
Build expertise across programming, data, and systems
Tailor your degree with in-demand electives
Stay ahead with guidance from top professionals
Build a career-ready profile that goes beyond the classroom
150+ hours of job-oriented content | 360° career assistance | Equivalent to offline degrees |
24/7 student support | 10+ Masterclass sessions | Globally recognized curriculum |
Students are required to pay a non-refundable registration fee of ₹1500/- to begin the admission process
Semester Plan | Sem 1 | Sem 2 | Sem 3 | Sem 4 | Total |
---|---|---|---|---|---|
MCA | Rs. 35,000/- | Rs. 35,000/- | Rs. 35,000/- | Rs. 35,000/- | Rs. 1,40,000/- |
Annual Plan | Year 1 | Year 2 | Total |
---|---|---|---|
MCA | Rs. 70,000/- | Rs. 70,000/- | Rs. 1,40,000/- |
Lump sum Plan | Total |
---|---|
MCA | Rs. 1,40,000/- |
Program
Total Credits
Semesters
Evaluation Pattern
The MCA program is structured across two years and four semesters. Below is the complete breakdown of the curriculum
SEMESTER 1 | CREDITS |
Computational Statistics | 4 |
Java for Full Stack Development | 4 |
Database Technology | 4 |
Research Methodology | 4 |
Web Technologies | 2 |
Python Programming | 4 |
Total | 22 |
SEMESTER 2 | CREDITS |
Analysis of Algorithms | 4 |
Artificial Intelligence and Machine Learning | 4 |
Project Management | 4 |
Natural Language Processing | 4 |
Enterprise Resource Planning | 4 |
Big Data Analytics | 4 |
Total | 24 |
SEMESTER 3 | CREDITS |
Applied Data Analytics with Python | 4 |
DevOps Foundations: Version Control & CI/CD Tools | 4 |
Foundations of Cybersecurity | 4 |
Foundations of Cloud Computing | 4 |
Machine Learning Applications using Python | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Modern Web Services with REST API, ReactJS & NodeJS | 4 |
Cloud Security and Risk Management | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
SEMESTER 3 | CREDITS |
Foundations of Cloud Computing | 4 |
Essentials of Amazon Web Services (AWS) | 4 |
Microsoft Azure: Core Concepts and Services | 4 |
Programming for the Cloud Environment | 4 |
Virtualization Techniques in Cloud Computing | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Google Cloud Platform: Fundamentals | 4 |
IBM Cloud: Service Overview and Applications | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
SEMESTER 3 | CREDITS |
Frontend Web Development HTML, CSS & JavaScript | 4 |
Designing User Interfaces and Experiences (UI/UX) | 4 |
DevOps Foundations: Version Control & CI/CD Tools | 4 |
Principles of Software Architecture | 4 |
Rapid Prototyping for Web Applications | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Modern Web Services with REST API, ReactJS & NodeJS | 4 |
Advanced DevOps: Automation and Monitoring Tools | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
SEMESTER 3 | CREDITS |
Applied Data Analytics with Python | 4 |
Statistical Data Analysis using R | 4 |
Data Visualization and Business Intelligence | 4 |
Big Data Processing with Hadoop Ecosystem | 4 |
Machine Learning for Business Intelligence | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Statistical Data Analysis using R | 4 |
Data-Driven Decision Making | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
SEMESTER 3 | CREDITS |
Machine Learning Applications using Python | 4 |
Statistical Foundations for Machine Learning with Python | 4 |
Machine Learning for Business Intelligence | 4 |
Deep Learning and Natural Language Processing (NLP) | 4 |
Web and Social Media Analytics with Data Visualization | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Big Data Processing with Hadoop Ecosystem | 4 |
IoT, Cloud Computing, and Watson Analytics | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
SEMESTER 3 | CREDITS |
Foundations of Cybersecurity | 4 |
Network Security and Protocols | 4 |
Cryptography and Secure Communication | 4 |
Ethical Hacking and Penetration Testing | 4 |
Cyber Laws and Digital Forensics | 4 |
Total | 20 |
SEMESTER 4 | CREDITS |
Cloud Security and Risk Management | 4 |
Security Operations and Incident Response | 4 |
Principles and Practices of Software Testing | 4 |
Technical Writing and Communication for IT Professionals | 2 |
Capstone Project | 8 |
Total | 22 |
Note: Students to select any one Elective Bucket in Semester 3 (the same continous in Semester 4).
3 year BBA program
100% online mode of learning
100% online mode of learning Curriculum at par with global standards
D Y Patil University Online Learning offers a blend of professional programs that set the career of an aspirant right on track.
The university provides structures and extensive reading material for each subject on the online portal.
Experiential Learning towards excellence. The idea is to make learning a priority towards making every
The university facilitates direct contact between the faculty and the students. It provides the students with an.
The university taps all the extant sources of program-related and industry-oriented information
Passed BCA / bachelor's degree in Comp. Science Engg. or passed B.Sc(CS/IT) at the Graduation level.
Entrepreneurial career aspirants
Candidates who have taken a career-break and are looking to restart their education journey
Candidates doing part-time jobs seeking steady employment
Remote location candidates looking for comfortable & hassle-free learning
Masterclasses by Experts
Attend monthly sessions with industry leaders and corporate titans.
Experiential Learning
Learn through hands-on projects, case studies, and real-world scenarios.
Faculty Webinars
Stay updated with regular sessions hosted by experienced professors.
No-Cost EMI Options
Start learning with easy financing and zero-cost EMI plans starting at ₹5833/-
Trusted Credibility
NAAC A++ accreditation with over 20 years of academic excellence.
All-in-one Mobile App
Stay on top of your course with a single app that keeps everything at your fingertips.
Software Engineer: Design, build, and optimize scalable applications.
Data Scientist: Extract insights from large datasets using advanced analytics.
Cloud or DevOps Engineer: Manage modern cloud-based infrastructure and automation.
Tech Consultant or Analyst: Solve business problems with smart tech solutions.
AI Consultant: Help businesses adopt AI solutions to drive automation, efficiency, and smarter decision-making.