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D.Y. Patil University
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An online MCA in Applied AI & Modern Computing from DY Patil University is a 2-year online MCA course that combines basic software engineering with modern technologies.
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Online MCA in Applied AI & Modern Computing from D.Y. Patil University is a 2-year postgraduate program that helps students develop skills in applied AI, modern computing, and emerging technologies.
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This Online MCA in Applied Artificial Intelligence and Modern Computing from D.Y. Patil University aims to facilitate learners in developing themselves with robust technical skills of future ready nature, having deep knowledge about advanced computing, and relevant expertise for the industry, which are essential for their successful career in today’s world. The subjects include artificial intelligence, intelligent systems, cloud computing, and applications in modern computing.
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Build Applied AI and modern computing skills with flexible online learning, practical projects, and industry tools.
Earn a UGC-entitled and AICTE-approved Online MCA in Applied AI and Modern Computing from D.Y. Patil University.
Learn Python, machine learning, artificial intelligence, programming, and modern computing concepts.
Study with online classes, recorded lectures, and digital learning resources.
Develop skills in programming, artificial intelligence, machine learning, data handling, and problem-solving.
Apply AI and computing concepts through hands-on projects and real-world technology tasks.
Gain experience with Python, AI tools, machine learning technologies, and modern computing tools.
Understand AI concepts, automation, cloud technologies, and modern computing systems.
Get career guidance, resume support, and interview preparation.
For graduates and professionals seeking skills in Applied AI, programming, and modern computing.
Specialize in Applied AI and modern computing for long-term technology career opportunities.
Upgrade AI, computing, and technology skills while continuing your current job.
Learn AI, machine learning, and automation technologies for future applications.
Build programming and technology skills to transition into software and tech roles.
Explore digital technologies and expand your knowledge of modern computing.
Build AI Knowledge
Learn Applied AI, generative AI, and automation concepts used in modern technology.
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Learn With Python
Build programming skills with Python and learn how code supports modern software development.
Explore Modern Tools
Understand machine learning, AI tools, and technologies used to build intelligent solutions.
Work With Technology
Learn to work with data and computing concepts that support modern technology solutions.
Apply Your Skills
Use your AI and computing knowledge in projects, assignments, and practical technology tasks.
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Study Anytime, Anywhere
Study online with flexible classes, recorded lessons, and digital learning resources.
| Type| | Subjects | Credits | |
|---|---|---|---|
| Core| | Python for AI and Data Science | 4 | |
| Core| | Data Structures and Algorithms | 4 | |
| Core| | Database Management Systems | 4 | |
| Core| | Computer Networks and Web Services | 4 | |
| Core| | Developer Tools, Version Control and AI Literacy | 2 | |
| Core| | Mathematical Foundations for Computing | 4 | |
| Total Credits | 22 |
Skills Learned
Pedagogy and Student Support
Build GenAI, AI, programming, leadership, and practical skills through projects and industry-focused learning.
Find answers about the Online MCA in Applied AI and Modern Computing, including eligibility, curriculum, learning, and careers.
The Online MCA in Applied AI and Modern Computing helps you develop advanced tech skills. The program includes artificial intelligence, intelligent systems, cloud computing, and modern computing applications. You’ll get practical experience through projects and hands-on learning. This program is great for graduates and working professionals. It suits those looking for careers in new technologies.
Explore opportunities through the D.Y. Patil University Online University's top recruiters.
Explore career opportunities after an Online MCA in Applied AI & Modern Computing across AI, cloud, software, and automation.
AI Engineer
They help construct and evolve solutions using artificial intelligence technologies.
INR 15.3-17 LPA
Average Salary Range
AI Analyst
They perform analysis of the data and models to enable technology-driven decision-making.
INR 20.9-23.1 LPA
Average Salary Range
Cloud Solutions Engineer
They create and oversee solutions that operate on the cloud.
INR 11.3-14.1 LPA
Average Salary Range
Software Developer
They construct and maintain software solutions.
INR 9.6-10.7 LPA
Average Salary Range
Automation Systems Analyst
They help analyze and optimize the performance of automated systems.
INR 6.5-7.2 LPA
Average Salary Range
Machine Learning Engineer
They help build and improve machine learning models for practical applications.
INR 12.6-13.9 LPA
Average Salary Range
Build future-ready AI and computing skills through practical learning, industry tools, and flexible online education.
| Feature | D.Y. Patil University | Other Institutes |
|---|---|---|
| Recognition | UGC-entitled, AICTE-approved, NAAC A++ accredited, and ranked under Top 100 | Recognition and rankings may vary |
| Program Focus | 2-year program focused on Applied AI, Machine Learning, cloud computing, and modern computing | Curriculum may focus on general MCA topics |
| AI & Computing Skills | Learn AI, machine learning, automation, programming, intelligent systems, and modern computing | AI and computing topics may differ |
| Learning Mode | Online learning with live sessions, masterclasses, recorded lectures, and digital resources | Online learning support may vary |
| Practical Learning | AI & Machine Learning projects, coding classes, hackathons, hands-on tools, and capstone project | Practical learning may be limited |
| Technology Skills | Practical use of AWS, Azure, SQL, Python, full-stack frameworks, Excel, Power BI, and Tableau | Technology training depends on the institute |
| Career Support | Resume Builder & ATS Tool, mock interviews, industry masterclasses, and career workshops | Career support may differ |
| Best For | Suitable for graduates, working professionals, AI learners, career switchers, and tech enthusiasts | May focus on general MCA learners |
Semester Payment
INR 35,000
Includes
Pay one semester at a time
Study the Applied AI and Modern Computing curriculum
Flexible payment option
Yearly Payment
INR 70,000
Includes
Covers two semesters
Pay once each year
Easy annual payment option
Complete Program Fee
INR 1,40,000
Includes
Covers the full 2-year MCA
Includes all four semesters
One-time full fee payment
Fill out the online application form and pay the required processing fee through secure digital methods.
Upload your academic and identity documents for eligibility verification by the university team.
Select a convenient payment option and complete the program fee through a secure online gateway.
Receive your LMS login details and attend the online orientation before your program begins.
Fill out the online application form and pay the required processing fee through secure digital methods.
Upload your academic and identity documents for eligibility verification by the university team.
Select a convenient payment option and complete the program fee through a secure online gateway.
Receive your LMS login details and attend the online orientation before your program begins.
Graduation Requirement: A bachelor’s degree such as BCA, B.Tech, or equivalent with a mathematics background is required.
10th Requirement: A minimum of 40% marks in 10th standard from a recognized board is required.
12th or Diploma Requirement: Candidates need at least 40% marks in 12th or 50% marks in a three-year diploma.
Bachelor’s Marks: Candidates must have at least 40% aggregate marks in graduation from a recognized university.
Mathematics Requirement: Mathematics must be studied in 12th standard or during graduation for eligibility.
Find answers about D.Y. Patil University's Online MCA in Applied AI and Modern Computing, including learning, admission, and career support.
The program uses a mix of online and practical learning methods to make technical concepts easier to understand.
Talk to our experts. We are available 7 days a week, 10 AM to 7 PM
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