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 with hands-on training, 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.
Master the core and cutting-edge tools of modern tech
Shape your MCA around your interests and career goals
Build a career-ready profile that goes beyond the classroom
Get real-world experience through projects and live sessions
All-in-one mobile app | 360° career assistance | Equivalent to offline degrees |
24/7 student support | 10+ Masterclass sessions | No cost EMI starting at ₹5833/- |
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
Subject Name | Course Type | Credits |
Computational Statistics | Program Core Course (PCC) | 4 |
Java for Full Stack Development | Program Core Course (PCC) | 3 |
Database Technology | Program Core Course (PCC) | 3 |
Research Methodology | Research Methodology | 4 |
Computational Statistics Lab | Program Core Course (PCC) Lab | 1 |
Java for Full Stack Development LAB | Program Core Course (PCC) Lab | 1 |
Database Technology LAB | Program Core Course (PCC) Lab | 1 |
Skill Based Lab – Web Technologies | Vocational Skill Enhancement | 2 |
Skill Based Lab – Python Programming | Vocational Skill Enhancement | 2 |
Special Topic Seminar | Special Topic Seminar | 1 |
TOTAL CREDITS | 22 |
Subject Name | Course Type | Credits |
Analysis of Algorithms | Program Core Course (PCC) | 4 |
Artificial Intelligence and Machine Learning | Program Core Course (PCC) | 3 |
Project Management | Program Core Course (PCC) | 3 |
AI and ML Lab | Program Core Course (PCC) Lab | 1 |
Soft Skill Lab | Ability Enhancement Course | 1 |
AWT Lab | Vocational Skill Enhancement | 2 |
User Interface Lab | Vocational Skill Enhancement | 1 |
Project Stage 1 | Project / Field Project | 1 |
COMPULSORY CREDITS | 16 | |
Elective Any One | ||
Image Processing / Information Security / Digital Marketing and Business Analytics / NLP | Open Elective I | 3 |
GIS / UI/UX / ERP / IoT | Open Elective II | 4 |
Elective I Lab | Open Elective I Lab | 1 |
TOTAL CREDITS | 24 |
Subject Name | Course Type | Credits |
Big Data Analytics | Program Core Course (PCC) | 3 |
Cloud Architecture & Services | Program Core Course (PCC) | 3 |
Big Data Analytics Lab | Program Core Course (PCC) Lab | 1 |
Cloud Architecture & Services Lab | Program Core Course (PCC) Lab | 1 |
DevOps Lab | Vocational Skill Enhancement | 2 |
Cyber Forensics Lab | Vocational Skill Enhancement | 1 |
Project Stage 2 | Project / Field Project | 1 |
COMPULSORY CREDITS | 12 | |
Elective Any One | ||
Blockchain / Deep Learning / STQA / Quantum | Program Elective Course (PEC)-III | 3 |
IPR / MIS / Ethical Hacking / Entrepreneurship | Program Elective Course (PEC)-IV | 4 |
Elective Lab (Blockchain / DL / STQA / Quantum) | Program Elective Course (PEC) Lab | 1 |
TOTAL CREDITS | 20 |
Subject Name | Course Type | Credits |
Internship | Internship | 15 |
Research Paper | Research Methodology | 2 |
Online Course – MOOCs | NPTEL Course | 4 |
Institute Social Responsibility | Value Education Course (VEC) | 1 |
TOTAL CREDITS | 22 |
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 equivalent or passed B.Sc/ B.Com / BA / BCom with mathematics at 10+2 level or at Graduation level; In absence of Maths Subject; an additional bridge course to be undertaken as per the norms of the University
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.