Online MCA Degree — Master of Computer Applications

Choose from 8 AI-ready specialisations — Data Science & AI, Cyber Security & AI, Cloud & DevOps, Full Stack, Generative & Agentic AI, FinTech & AI, AI & Machine Learning, Computer Science & IT

Download Brochure
Apply Now
Online MCA learners collaborating on code and data projects at JAIN Online

Earn your Online MCA Degree from

Jain University Logo

UGC Entitled | NAAC ‘A++’ Graded University with Graded Autonomy Status

Rank
#6 Among Private University in India
 

*India Today

stars
Awarded 5 stars in the Young Universities category

*KSURF

62 Rank
Jain (Deemed-to-be-University) ranks among top 62 in India

*NIRF ranking (2025)

Rank
Ranked 90-95 among the top Indian universities

*QS World Rankings

Why Join Online MCA from JAIN Online

Comprehensive Curriculum
  • Earn an Online MCA with a future ready elective in Data Science / AI / Cloud Computing / Full-Stack Development
Read More
World Class Faculty and Industry experts
  • Learn from top faculty via Two-way live online audio-video lectures
  • Become industry-ready with mentorship from experts
Read More
Comprehensive Career Support
  • Job opportunities shared by 4500+ companies
  • Resume building, Interview preparation, Career guidance and mentorship from experts
Read More
UGC-entitled Online MCA from JAIN (Deemed-to-be University)
World-class faculty & industry experts as mentors
Job opportunities shared by 4500+ hiring partners
Career workshops, resume reviews & mock interviews

Get your Online MCA Degree from a top-ranked prestigious university

2 Years | UGC Entitled | Live Online Classes | AICTE Approved

Curriculum

The curriculum of the Online MCA by JAIN (Deemed-to-be-University) is highly exhaustive. This is designed by faculty from JAIN (Deemed-to-be-University).The curriculum of this program offers 4 distinct and in demand electives of the modern technological world such as Data Science, AI, Cloud Computing and Full Stack Development. The curriculum of this program is one of the highlights that makes this program stand as the best in the country.

Download Curriculum Download
Semester 1
Mathematical Foundation for Computer Application

    Mathematics is one of the core subjects of this course. Hence, the candidates would learn about the various mathematical concepts.

Operating System & Unix Shell Programming

    Operating systems are the interface between the user and computers. Hence, candidates gain an understanding of operating systems, and Unix shell programming.

Data Communication & Computer Networks

    Computer networking and communication refers to the analysis, design, implementation, of networks that connect computers together. In this module, you would learn about Data Communication & Computer Networks.

Data Structures with Algorithms

    A data structure is a defined location that is used to store and organize data. An algorithm refers to the step-by-step process employed to solve a specific problem. Data structures and algorithms aid the software developers to write efficient and optimized computer programs. In this module, you would learn about Data Structures with Algorithms.

Computer Organization & Architecture

    Computer Organization and Architecture refer to the study of functionality, structuring, and implementation of a computer system. In this module, you would learn about Computer Organization & Architecture.

Note:The program offers a deep-dive into the chosen elective from 2nd semester onwards. The curriculum is intended to increase learners’ technical and analytical knowledge, thus accelerating their careers in the chosen fields.

Data Science has been one of the most influential and revolutionary technologies of the 21st century. Data Science. Hence, choosing data science would aid you in getting into one of the most desirable job roles of the 21t century. Below are the various concepts and tools you would learn throughout this course.

Semester 2
Relational Database Management System

    A relational database management system is a standard type of database that stores data in tables, which can be accessible by other stored datasets. In this module, you would gain a comprehensive understanding of the Relational Database Management System.

Design & Analysis of Algorithms

    In this module, you would learn the tools and techniques employed to design and analyze algorithms.

Java Programming

    Java is one of the most popular programming languages. In this module, you would master Java programming.

Python for Data Science

    Python is one of the most popular programming languages used for data science. Python is also considered one of the simplest and easiest programming languages to learn. In this module, you would master Python programming.

Statistical Methods in Decision Making

    Statistics is one of the core elements of data science used for decision-making. In this module, you would learn the several Statistical Methods applied in Decision Making.

Semester 3
Application Development using Python

    In this module, you would learn the tools and techniques employed in Application Development using Python.

Advanced Web Technologies

    Web technologies are another essential component you got to learn to master data science. In this module, you would learn the tools and techniques employed in Advanced Web Technologies.

Data Visualization

    Data Visualisation is an important technique involved in Data Science. Data visualization is the graphical representation of the data derived. Data Visualisation employs several visual elements like charts, maps, graphs, and more. The tools of data visualization present an easy way to see and understand trends, and patterns of the data. In this module, you would learn several data visualization tools and techniques.

SQL for Data Science

    SQL stands for Structured Query Language which is used to communicate with a database. SQL is used to manage the data in a relational database management system. SQL is one of the major applications used for data science. In this module, you would master SQL programming.

Data Mining

    Data Mining refers to the process used to extract usable data from a larger set of any raw data. It also includes analyzing data patterns in large groups of data using one or more software. In this module, you would learn the tools and techniques employed in Data Mining.

Open Elective Course - Effective Communication for Technology Professionals

    Communication is an important skill any technological professional should possess. In this module, you would master Effective Communication skills.

Semester 4
Predictive Analytics using Machine Learning

    predictive analytics comprises several statistical techniques that include machine learning, predictive modeling, and data mining and employment statistics to estimate, or 'predict', future outcomes.In this module, you would learn the tools and techniques employed in Predictive Analytics using Machine Learning.

Time series Analytics

    Time series is an important technique of data science. A time series is capturing the sequence of numerical data points in successive order within the given data. In this module, you would learn the tools and techniques employed in Time series Analytics.

Text Mining

    Text mining is a technique of artificial intelligence technology which is also known as text analytics. Text mining exercises natural language processing (NLP) to convert the free (unstructured) text in documents and databases into normalized, structured data suitable for analysis or to drive machine learning (ML) algorithms. In this module, you would learn the tools and techniques employed in Text Mining.

Applied Analytics - Marketing, Web, Social Media

    Applied analytics refers to the set of tools and techniques used to gain insights from the data to enhance the business processes. In this module, you would master the tools and techniques of applied analytics for Marketing, Web, and Social Media.

Cross-Functional Elective Course - Competitive Programming Project

Artificial Intelligence is considered as one of the most sought after technologies of the 21st century. Choosing AI would help you learn the most in demand tools and skills besides getting you placed into the most in demand job roles. Below are the various concepts and tools you would learn throughout this course.

Semester 2
Relational Database Management System

    A relational database management system is a standard type of database that stores data in tables, which can be accessible by other stored datasets. In this module, you would gain a comprehensive understanding of the Relational Database Management System.

Design & Analysis of Algorithms

    In this module, you would learn the tools and techniques employed to design and analyze algorithms.

Java Programming

    Java is one of the most popular programming languages. In this module, you would master Java programming.

Foundations of Machine Learning

    As Machine learning is an important subset of Artificial Intelligence, you would gain a strong understanding of the several fundamentals of Machine Learning.

Prediction using Machine Learning

    In this module, you would learn the tools and techniques employed in prediction using Machine Learning.

Semester 3
Application Development using Python

    In this module, you would learn the tools and techniques employed in Application Development using Python.

Advanced Web Technologies

    Web technologies are another essential component you got to learn to master data science. In this module, you would learn the tools and techniques employed in Advanced Web Technologies.

Big Data Management & Analytics

    Big data management is a broad concept that comprises the policies, procedures, and technology used for the collection, storage, creation, management, and delivery of large data warehouses. In this module, you would learn the tools and techniques employed in Big Data Management & Analytics.

Recommendation Systems

    Recommendation systems are one of the most common applications of AI. Most projects across all domains use recommendation systems to study the user's past actions and propose the most accurate recommendations considering their preferences. These recommendations intensify the user's experience.

Advanced Machine Learning

    Machine Learning is the core subject of Artificial Intelligence. In this module, you would learn the core concepts of Advanced Machine Learning.

Open Elective Course - Effective Communication for Technology Professionals

    Communication is an important skill any technological professional should possess. In this module, you would master Effective Communication skills.

Semester 4
Model Deployment & AI in practice

    You would master the several modes of training techniques and methodologies to deploy a machine learning model. You would gain a comprehensive understanding of AI as you put that to practice.

Neural Networks & Deep Learning

    Neural networks are a series of algorithms developed inspired by the biological neural networks designed to mimic the human brain in performing quick actions. Deep learning is an important subset of machine learning. In this module, you would learn about neural networks and deep learning.

Computer Vision

    Computer Vision is a trending application of Artificial Intelligence. Computer Vision is the technique of training the systems to process data from the images. In this submodule, you will learn to process the images for Image classification employing Neural Networks.

Natural Language Processing

    Natural language processing employs computational linguistics to develop real-world applications that run with languages of fluctuating structures. NLP deals with training a system to learn a language and understand it.In this submodule, you will learn about NLP.

Cross-Functional Elective Course - Competitive Programming
Project

    You would work on a project comprising the tools and techniques mastered through the course. This project you work with would help you gain practical insights and intensifies your understanding.

Cloud Computing is one of the most exciting technologies of the current day technological world. Upon choosing this elective, you would master all the requisite tools and skills of cloud computing technology. Below are the various concepts and tools you would learn throughout this course.

Semester 2
Relational Database Management System

    A relational database management system is a standard type of database that stores data in tables, which can be accessible by other stored datasets. In this module, you would gain a comprehensive understanding of the Relational Database Management System.

Design & Analysis of Algorithms

    In this module, you would learn the tools and techniques employed to design and analyze algorithms.

Java Programming

    Java is one of the most popular programming languages. In this module, you would master Java programming.

Cloud Foundations

    In this module, you would master the several fundamental concepts of Cloud technology.

Cloud Computing with AWS

    An AWS certification will approve a cloud professional’s expertise. It focuses on the in-demand skills required by organizations in their cloud leads using AWS. Hence, you would learn Cloud Computing with AWS in this module.

Semester 3
Application Development using Python

    Python is one of the most popular programming languages used for data science. In this module, you would learn the tools and techniques employed in Application Development using Python.

Advanced Web Technologies

    Web technologies are another essential component you got to learn to master data science. In this module, you would learn the tools and techniques employed in Advanced Web Technologies.

Cloud Managed Services

    In this module, you would learn the tools and techniques employed in Cloud Managed Services.

Big Data Management and Analytics

    Big data management is a broad concept that comprises the policies, procedures, and technology used for the collection, storage, creation, management, and delivery of large data warehouses. In this module, you would learn the tools and techniques employed in Big Data Management & Analytics.

Open Elective Course - Effective Communication for Technology Professionals

    Communication is an important skill any technological professional should possess. In this module, you would master Effective Communication skills.

Semester 4
CI/CD & DevOps

    CI refers to continuous integration, which is a fundamental DevOps practice. CI is used by developers to constantly merge code changes into a primary repository where automated builds and tests are executed. CD refers to continuous deployment. DevOps is a set of applications that combines software development (Dev) and IT operations (Ops). In this module, you would learn about CI/CD and DevOps.

Cloud Security and Migration

    In this module, you would master the several tools and techniques employed in Cloud Security and Migration.

Microsoft Azure Essentials

    Microsoft Azure also has several certifications which are categorized as fundamentals certifications, role-based certifications, and additional certifications. Azure is considered an expert-level role-based certification. In this module, you would learn Microsoft Azure Essentials.

Google Cloud Platform Essentials

    In this module, you would master the several tools and techniques employed google Cloud Platform.

Cross-Functional Elective Course - AWS Solution Architect Certificate

    Upon the successful completion of your learning journey, candidates obtain an AWS Solution Architect Certificate which adds value to their resume.

Project

    You would work on a project comprising the tools and techniques mastered through the course. This project you work with would help you gain practical insights and intensifies your understanding.

Software Engineering is another exciting elective you could opt for. Upon choosing Fullstack development , you would master all the tools and skill set of full stack development. Below are the various concepts and tools you would learn throughout this course.

Semester 2
Relational Database Management System

    A relational database management system is a standard type of database that stores data in tables, which can be accessible by other stored datasets. In this module, you would gain a comprehensive understanding of the Relational Database Management System.

Design & Analysis of Algorithms

    In this module, you would learn the tools and techniques employed to design and analyze algorithms.

Java Programming

    Java is one of the most popular programming languages. In this module, you would master Java programming.

Web Development using HTML and CSS

    You would learn the technology of Web Development using HTML and CSS, in this module.

Dynamic Web Applications Using JavaScript

    In this module, you would learn the tools and techniques employed in Dynamic Web Applications Using JavaScript.

Semester 3
Application Development using Python

    In this module, you would learn the tools and techniques employed in Application Development using Python.

Advanced Web Technologies

    Web technologies are another essential component you have to learn to master data science. In this module, you would learn the tools and techniques employed in Advanced Web Technologies.

React JS

    React JS is a JavaScript library used in web development to build interactive components on websites.In this module, you would master React JS.

Advanced Database Systems

    Advanced database systems are the database systems that offer advanced functionality in terms of data modeling, data integration capabilities, query languages, system features, and more. In this module, you would learn about Advanced database systems.

Front-End Development Project

    In this module, you would learn the tools and techniques employed in the Front-End Development Project.

Open Elective Course - Effective Communication for Technology Professionals

    Communication is an important skill any technological professional should possess. In this module, you would master Effective Communication skills.

Semester 4
Software Engineering

    Software engineering refers to the process of development and architecture of computer systems software and applications software. You would learn the various steps involved in software engineering.

Web APIs

    Web API assists the software developers in enabling the development of HTTP services to reach out to clients. In this module, you would learn about Web APIs.

Software Testing

    Software testing is one of the major steps involved in the software lifecycle. In this module, you would master several software testing tools.

CI/CD & DevOps

    CI refers to continuous integration, which is a fundamental DevOps practice. CI is used by developers to constantly merge code changes into a primary repository where automated builds and tests are executed. CD refers to continuous deployment. DevOps is a set of applications that combines software development (Dev) and IT operations (Ops). In this module, you would learn about CI/CD and DevOps.

Competitive Programming

    Competitive programming is a technological sport organised for software developers where they try to write the program code satisfying the given specifications.

Projects

    You would work on a project comprising the tools and techniques mastered through the course. This project you work with would help you gain practical insights and intensifies your understanding.

Master Thesis/Project

Candidates work on Master Thesis which adds value to their professional resume.

Career Assistance : Resume building, Mock interviews, Access to job boards, Mentorship from experts

Candidates participate in several career assistance programs such as Resume building workshops, Mock interviews, 1 : 1 mentorship sessions.

Online MCA from JAIN (Deemed-to-be University)

Upon the successful completion of this course, candidates obtain an Online MCA from JAIN (Deemed-to-be-University).

Our Program Advantage

Learn from a comprehensive curriculum taught by world-class faculty. Get guidance on your learning journey, and access dedicated career support.

Project Based Learning

  • Develop acumen to solve real-world problems
  • Application oriented industry projects mentored by Industry experts
  • 1000+ projects have been completed in 22+ domains by our learners

Comprehensive Career Support

  • Career guidance sessions to solve your queries
  • Aptitude skill training and development
  • Resume building and access to job boards

Comprehensive Career Support

4500+

Hiring Companies

mentor icon
  • 4500+ Hiring Companies

Our career support program will be made available to all the learners of this program.

Recruitment icon

Resume Building Sessions

Build your resume to highlight your skill-set along with your previous academic and professional experience.

Curated Jobs icon

Access to curated jobs

Access a list of jobs relevant to your experience and domain.

Interview Preperation

Interview preparation

Workshops to help you prepare for technical interviews conducted by industry experts.

Mentorship icon

Career Guidance and Mentorship

Get an expert career mentor personalised to your experience and industry.

Learner Testimonials

Brahmanand Pandey - Learner

The way the entire program is managed by the backend team and especially by our Program Manager and the faculty is something which makes us believe that an online mode of education for master level is also possible and that too with deep knowledge into it.

Brahmanand Pandey

Technical Support Analyst, Wipro

Mohamed Saleem - Learner

Big thanks to my program manager. She supported me a lot and solved any queries on time. They organized the program with quiz, reference material, videos etc. to learn efficiently. I received regular updates from the University, which really helped me to prepare and monitor the learning progress.

Mohamed Saleem

Data Engineer Specialist, LTI

Akash Shrikant Gurubhetti - Learner

The faculty is supportive & program manager readily available. The courses & programs are arranged in well manner. The individual lessons are clear & coherent. I am able to work & learn at my pace without any issue.

Akash Shrikant Gurubhetti

Infosys

David Joseph - Learner

The MCA program with JAIN Online is excellently structured and organised. The video lectures are simple, yet effective in their approach to help us understand the content. Regular assessments helps in testing our understanding of what we learn and also ensures that we are active in the program.

David Joseph

CIM

Program Fees

Online MCA from JAIN
(Deemed-to-be University)

₹ 1,60,000

EMI from ₹12,781/month · 2-year UGC-entitled degree

View Plans
  • Total fee ₹1,60,000 · ₹80,000/year · ₹40,000/semester
  • No-cost and low-interest EMI options from trusted lending partners
  • 2-Year UGC-entitled MCA — same degree as on-campus
  • 8 AI-ready specialisations (Data Science, Cyber Security, Cloud, Full Stack, Gen AI & more)
  • Live weekend classes + recorded lectures for lifetime access
  • 360° career support — resume reviews, mock interviews & curated jobs portal
Apply Now
Apply Now

Admission Process

  • Step 1 : Fill the application form

    Register by filling up the
    online application form > .

  • Step 2: Interview

    Go through a screening call with the Admission Director’s office.

  • Step 3: Join the Program

    If selected, you will receive an ‘offer of admission’ letter for the upcoming batch. Secure your seat by paying the admission fee.

Upcoming Application Deadline

Admissions are closed once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seat.

Deadline: 10th Apr 2026

Apply Now

Frequently Asked Questions

FAQ's
What is the program structure for the online MCA degree program?

The online MCA degree program is a 2-year live online program, designed for flexibility and interactive learning. Two-way live online lectures are conducted on weekends, allowing students to engage with faculty and peers in real-time. The program covers industry-relevant subjects, hands-on projects, and skill development to prepare students for dynamic career opportunities in the field of computer applications.
How will I be evaluated during the online MCA degree program?

The online MCA degree program follows a comprehensive and structured evaluation system to ensure holistic learning. Candidates are assessed through examinations, case studies, quizzes, assignments, and project reports, providing a balanced approach to theoretical understanding and practical application. This continuous evaluation method helps track progress and enhances skill development throughout the course.
What degree will I receive after completing the program?
Upon successful completion of the program, participants will be awarded an MCA degree from JAIN (Deemed-to-be University). JAIN (Deemed-to-be University) holds a NAAC ‘A++’ Grade with Graded Autonomy status and has been recognized for its academic excellence. It has been awarded 5 Stars by KSURF in the Young Universities category and ranked 6th among Private Universities in India by India Today.
Will there be career support after completing the online MCA degree?

Yes, candidates receive comprehensive career support upon successfully completing the online MCA degree program. All participants gain access to GL Excelerate – a Career Services Platform designed to help you unlock your career potential by showcasing your skills and connecting you with the right job opportunities.

Key benefits include:

  • Access to curated job listings
  • Interview preparation support
  • Career mentorship with an E-Portfolio building

This structured career support ensures you are well-equipped to take the next step in your professional journey.

What is the admission process for MCA Course?

The admission process for the online MCA degree program is simple and structured:

  • Fill out the application form
  • Take the admission test
  • Attend a screening call with the Admission Director’s office
  • Receive an Offer of Admission Letter if selected
  • Secure your seat by paying the admission fee

What is the eligibility criterion?

To be eligible for the online MCA degree program, candidates must meet the following criteria:

  • A Bachelor’s Degree (minimum 3 years) from a recognized university.
  • A minimum of 50% marks in aggregate (45% for SC/ST candidates).
  • Final-year students pursuing a bachelor’s degree are also eligible to apply.
Ensure you meet the eligibility requirements and take the next step toward advancing your career in technology!

Still have queries? Contact Us

Please fill in the form and a Program Advisor will reach out to you. You can also email us at enrol@onlinejain.com.

Talk to an MCA Advisor
Get course details, fees & a free 1:1 counselling call.

By submitting, you agree to JAIN Online's Privacy Policy and consent to be contacted via email.

Download Brochure
Chat Icon Chat With Us

Want to get more details about our program?

Connect with our program advisor to get more details about the program

Connect with Program Advisor Arrow right