Online MCA

Elective in Data Science / Artificial Intelligence / Cloud Computing / Full-Stack Development

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Earn your Online MCA from

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5 star
UGC Entitled Online Degree Programs

*UGC

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'A' Graded University with Graded Autonomy Status

*NAAC

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Awarded 5 stars in the Young Universities Category

*KSURF

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Ranked 6th Private University in India

*India Today

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
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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
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Dedicated Career Assistance
  • Job opportunities shared by 4000+ companies
  • Resume building, Interview preparation, Career guidance and mentorship from experts
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Working Professional
UGC Entitled Online MCA
Industry Project
World class faculty & Industry experts
Career Support
Job opportunities shared by 4000+ companies
Career Support
Career workshops, resume building and interview preparation sessions

India's Most Comprehensive Online MCA

2 Years | UGC Entitled | Live online classes | AICTE Approved

Curriculum

This two-year program offers foundational, core, and specialization courses and a comprehensive master thesis intermediary, apart from an option to pursue a cross-functional and open elective. The core and specialization courses incorporate AICTE’s model curriculum as prescribed for a full-time online Master of Computer Applications (MCA) Degree program, along with specializations in Data Science, Artificial Intelligence, Cloud Computing, or Full-Stack Development. This program’s exhaustive curriculum will nurture you into a highly skilled professional in the respective fields and help you land your dream job at the world’s leading corporations.

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Semester 1

In the 1st semester of this MCA Online Degree Program, learners will get familiarized with some essential concepts about mathematics, operating systems and Unix Shell programming, computer networks, data structures, and Computer Organization and Architecture (COA).

Mathematical Foundation for Computer Application

    Here, learners are familiarized with all the essential concepts of mathematical foundations for computer applications, such as mathematical logic, relations, predicates, algebra, and much more.

Operating System & Unix Shell Programming

    An Operating System (OS) is a computer system software that manages computer hardware, software resources, memory and processes, and provides standard services for computer programs. Unix is an OS, and a program called shell process is run for you when you log in to a Unix system. A shell process is just a command interpreter that provides you with an interface to the OS. A shell script is nothing but a file of commands, usually executed by a shell process that was generated to run the script.

Data Communication & Computer Networks

    Data communications refer to the exchange of digital data between two or more computers via any means of transmission media like wire cable. A computer network, also called a data network, is a telecommunications network that enables computers to exchange data amongst various other computer systems.

Data Structures with Algorithms

    Data Structures are some specific methods to organize and store data for efficient usage. An algorithm is a cluster of finite and well-defined instructions, which can be used to solve problems or calculations or perform other particular tasks.

Computer Organization & Architecture

    Computer Organization is used to determine how a system is structured in order to use all those structured tools. The core components of Computer Organization are CPU, ALU, memory, and memory organization. Computer Architecture is referred to as an inventory of tools or attributes that are visible to the user, which include instruction sets, number of bits used for data, addressing techniques, and many more.

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

Semester 2

In the 2nd semester of this online MCA course, the learners who opted for the Data Science specialization will learn various essential concepts about RDBMS, design and analysis of algorithms, Java, Python, and several statistical methods.

Relational Database Management System

    Relational Database Management System, shortened to RDBMS, is software used to store, manage, query, and retrieve data stored in a relational database.

Design & Analysis of Algorithms

    Design and Analysis of Algorithms are an essential part of computer science that cover time and space complexity, divide and conquer algorithms, dynamic programming, and many others.

Java Programming

    Java is a high-level, robust, class-based, object-oriented programming language, which can be used to develop web and mobile applications, big data processing, embedded systems, and many other applications.

Python for Data Science

    Python is one of the most popular, widely used programming languages across the globe, which aims to solve real-world problems in a simple manner as it has a simple, easy-to-use syntax.

Statistical Methods in Decision Making

    The Statistical Methods for Decision Making (SMDM) help learners with statistics tools and techniques in order to tackle real-world problems that penetrate the industry and make informed decisions.

Semester 3

In the 3rd semester, the learners will master application development using Python, data visualization, SQL, and many more.

Application Development using Python

    Here, learners will explore methods to develop applications using Python.

Advanced Web Technologies

    Here, learners will understand how to work with various advanced web technologies available in the current industry.

Data Visualization

    Learners will then be taught to work with data visualization (a process of the graphical representation of data and information) tools and techniques.

SQL for Data Science

    Here, learners will be taught how to work with SQL for Data Science, where SQL (Structured Query Language) is a cluster of statements/instructions where the learners can access and manipulate data in a database.

Data Mining

    Data Mining is a method to automatically find large stores of data, which aids in discovering patterns and trends that are on the farther side of simple analysis. This method makes use of advanced mathematical algorithms to segment the data and evaluate the probability of future events.

Open Elective Course - Effective Communication for Technology Professionals

    This is an open elective course where learners will master effective communication for technology professionals.

Semester 4

In the 4th semester, the learners will be taught about predictive analysis using Machine Learning techniques, time series analysis, text mining, and applied analytics.

Predictive Analytics using Machine Learning

    Predictive Analytics, a branch of advanced analytics, is used to make predictions about future outcomes with the help of historical data integrated with statistical modeling, data mining, and machine learning techniques.

Time series Analytics

    Time-Series Analytics comprises methods for analyzing data on time-series in order to derive meaningful statistics and other relevant information.

Text Mining

    Here, the learners will explore the process of converting unstructured text into a structured text in order to discover relevant insights. This process is known as Text Data Mining.

Applied Analytics - Marketing, Web, Social Media

    Applied Analytics is the process of obtaining insights from analyzing the data that companies use in order to enhance their business. Here, the learners are familiarized with Applied Analytics and its various techniques, such as Marketing, Web, and Social Media Analytics.

Cross-Functional Elective Course - Competitive Programming Project

    This is a cross-functional elective course where learners will get familiar with the competitive programming project.

Semester 2

In the 2nd semester of this online MCA Degree course, the learners who opted for the Artificial Intelligence specialization will learn various essential concepts about RDBMS, design and analysis of algorithms, Java, foundations of machine learning, and prediction using machine learning.

Relational Database Management System

    Relational Database Management System, shortened to RDBMS, is software used to store, manage, query, and retrieve data stored in a relational database.

Design & Analysis of Algorithms

    Design and Analysis of Algorithms are an essential part of computer science that cover time and space complexity, divide and conquer algorithms, dynamic programming, and many more.

Java Programming

    Java is a high-level, robust, class-based, object-oriented programming language, which can be used to develop web and mobile applications, big data processing, embedded systems, and many other applications.

Foundations of Machine Learning

    Here, the learners are familiarized with the foundations of Machine Learning, an application of AI. Machine Learning is a study of computer algorithms that enhance or improve automatically via experience and data usage.

Prediction using Machine Learning

    Prediction is the process of making predictions about future outcomes with the help of historical data integrated with various machine learning techniques.

Semester 3

In the 3rd semester, the learners will be taught about application development using Python, big data management, recommendation systems, and many more.

Application Development using Python

    Here, the method to develop applications using Python will be explored.

Advanced Web Technologies

    Here, learners will understand how to work with various advanced web technologies available in the current industry.

Big Data Management & Analytics

    Big Data Management is the organization, governance, or administration of massive volumes of structured and unstructured data sets. Big Data Analytics uses advanced analytical techniques against comprehensive, diverse data sets, which include structured, semi-structured, and unstructured data from a variety of sources and in different sizes, from terabytes to zettabytes.

Recommendation Systems

    Recommendation Systems, as the name implies, aid you in predicting the future preference of some products, which later recommend or suggest you the best-suited items to customers and clients.

Advanced Machine Learning

    Here, learners will learn how to work with various advanced machine learning techniques that are currently being used globally.

Open Elective Course - Effective Communication for Technology Professionals

    This is an open elective course where learners will learn about effective communication for technology professionals.

Semester 4

In the 4th semester, the learners will learn about model deployment & AI, neural networks and deep learning, computer vision, and natural language processing.

Model Deployment & AI in practice

    Model Deployment is a method in which a machine learning model is integrated into an existing production environment in order to make your model scalable, robust, and reproducible. Artificial Intelligence is a superset of machine learning and deep learning that deals with building smart, intelligent machines by combining multiple datasets in order to enable problem-solving and decision-making skills, which usually require human intelligence.

Neural Networks & Deep Learning

    Neural Networks are computing systems that are based on the biological neural networks, which make up the human brain. Deep Learning is an application or a branch of Machine Learning and Artificial Intelligence. The human brain leverages artificial neural networks to derive deep/high-level information from the raw input.

Computer Vision

    Here, the learners will get familiarized with Computer Vision or CV, a field of study whose goal is to develop techniques, which help computers “see” and understand the content of digital images (photographs and videos).

Natural Language Processing

    Here, the learners will learn the process of applying computational linguistics to build real-world applications using Natural Language Processing (NLP). In simpler words, we try to teach a computer system to learn languages and later expect it to analyze and understand it with the help of various suitable and efficient algorithms.

Cross-Functional Elective Course - Competitive Programming

    This is a cross-functional elective course where learners will get familiar with the competitive programming project.

Project

    Here, the learners are going to implement a project based on Artificial Intelligence.

Semester 2

In the 2nd semester of this MCA Program, the learners who opted for the Cloud Computing specialization will learn various essential concepts about RDBMS, design and analysis of algorithms, Java, foundations of cloud computing, and AWS cloud computing.

Relational Database Management System

    Relational Database Management System, shortened to RDBMS, is software used to store, manage, query, and retrieve data stored in a relational database.

Design & Analysis of Algorithms

    Design and Analysis of Algorithms are an essential part of computer science that cover time and space complexity, divide and conquer algorithms, dynamic programming, and many more.

Java Programming

    Java is a high-level, robust, class-based, object-oriented programming language, which can be used to develop web and mobile applications, big data processing, embedded systems, and many other applications.

Cloud Foundations

    Cloud is an integrated infrastructure that offers services like compute, storage, networking, and security, which aids in running several real-world applications in public and private cloud environments via an internet connection.

Cloud Computing with AWS

    Here, learners will be introduced to cloud computing with AWS, which is the world’s most comprehensive cloud computing platform from Amazon, offering over 200 fully loaded cloud services from numerous data centers across the globe.

Semester 3

In the 3rd semester, the learners will get familiarized with application development using Python, cloud-managed services, containers, microservices, and big data management and analytics.

Application Development using Python

    Here, learners will understand the method to develop applications using Python.

Advanced Web Technologies

    Here, learners will understand how to work with various advanced web technologies available in the current industry.

Cloud Managed Services

    Here, the learners are familiarized with various managed services available in cloud computing.

Containers and Microservices

    Containers are typical software packages that comprise all the required elements necessary to run in any environment. Microservices, also known as Microservices architecture, is an architectural approach that structures or organizes applications as a collection of services, which are loosely coupled, highly testable and maintainable, and independently deployable, owned by a handful of people or a team.

Big Data Management and Analytics

    Big Data Management is the organization, governance, or administration of massive volumes of structured and unstructured data sets. Big Data Analytics uses advanced analytical techniques against comprehensive, diverse data sets, which include structured, semi-structured, and unstructured data from a variety of sources and in different sizes, from terabytes to zettabytes.

Open Elective Course - Effective Communication for Technology Professionals

    This is an open elective course where learners will get familiarized with effective communication for technology professionals.

Semester 4

In the 4th semester, the learners will understand CI/CD, DevOps, cloud security, and some essentials about Microsoft Azure and Google Cloud Platform.

CI/CD & DevOps

    Continuous Integration is a phase in DevOps where the developers frequently integrate their code changes into a central repository. The developer then runs the automated builds and tests on these code changes. Continuous Delivery is the next phase after Continuous Integration, which automatically releases the code changes into the production environment. DevOps, a combination of Development and Operations, is a software development strategy that is used for collecting tools, practices, and philosophies in order to increase the efficiency and effectiveness of the software in an organization. DevOps enhances an organization’s capability to deliver services and applications at a rapid pace.

Cloud Security and Migration

    Cloud Security services help to protect your data, accounts, and workloads from unauthorized or unapproved access. Cloud Migration services help to migrate your existing applications and infrastructure to the cloud.

Microsoft Azure Essentials

    Here, the learners will be introduced to Microsoft Azure, which is another comprehensive cloud computing platform like AWS, offering various fully loaded cloud services from numerous data centers across the globe.

Google Cloud Platform Essentials

    Here, the learners will be introduced to Google Cloud Platform (GCP), which is another comprehensive cloud computing platform like AWS and Azure, offering various fully loaded cloud services from numerous data centers across the globe.

Cross-Functional Elective Course - AWS Solution Architect Certificate

    This is a cross-functional elective course where learners will get familiar with the AWS Solutions Architect roles and responsibilities.

Project

    Here, the learners are going to implement a project based on Cloud Computing.

Semester 2

In the 2nd semester of this MCA online course, the learners who opted for the Full-Stack Development specialization will learn various essential concepts about RDBMS, design and analysis of algorithms, HTML, CSS, and JavaScript.

Relational Database Management System

    Relational Database Management System, shortened to RDBMS, is software used to store, manage, query, and retrieve data stored in a relational database.

Design & Analysis of Algorithms

    Design and Analysis of Algorithms are an essential part of computer science that cover time and space complexity, divide and conquer algorithms, dynamic programming, and many more.

Java Programming

    Java is a high-level, robust, class-based, object-oriented programming language, which can be used to develop web and mobile applications, big data processing, embedded systems, and many other applications.

Web Development using HTML and CSS

    Here, the learners are familiarized with web development using HTML (HyperText Markup Language - For creating web pages) and CSS (Cascading Style Sheets - For styling web pages).

Dynamic Web Applications Using JavaScript

    JavaScript is a lightweight programming or scripting language, which is used to create dynamic web pages by implementing complex features on web applications. It can be used to modify HTML and CSS elements.

Semester 3

In the 3rd semester, the learners will get familiarized with application development using Python, ReactJS, advanced database systems, and implement a front-end development project.

Application Development using Python

    Here, the learners will understand the method to develop applications using Python.

Advanced Web Technologies

    Here, the learners will understand how to work with various advanced web technologies available in the current industry.

React JS

    ReactJS is a library in JavaScript, which is used to build user interfaces. ReactJS is a declarative, efficient, and flexible library of JavaScript.

Advanced Database Systems

    Here, the learners will get familiar with various advanced database systems.

Front-End Development Project

    Here, the learners will implement a project in front-end web application development.

Open Elective Course - Effective Communication for Technology Professionals

    This is an open elective course where learners will get familiarized with effective communication for technology professionals.

Semester 4

In the 4th semester, the learners will get familiarized with software engineering, web APIs, software testing, and CI/CD & DevOps, along with competitive programming and some projects.

Software Engineering

    Software Engineering is a planned, organized, and systematic approach to software development activities, like design, development, operations, and maintenance of software systems.

Web APIs

    APIs, known as Application Programming Interfaces, are constructs available in programming languages that enable developers to create complex functionality more quickly.

Software Testing

    Software Testing is an investigation conducted to check whether the actual software product matches the requirements that are requested and to ensure that the software product is error-free or defect-free.

CI/CD & DevOps

    Continuous Integration is a phase in DevOps where the developers frequently integrate their code changes into a central repository. Followed by, the developers run the automated builds and tests on these code changes. Continuous Delivery is the next phase after Continuous Integration, which automatically releases the code changes into the production environment. DevOps, a combination of Development and Operations, is a software development strategy that is used for collecting tools, practices, and philosophies in order to increase the efficiency and effectiveness of the software in an organization. DevOps enhances an organization’s capability to deliver services and applications at a rapid pace.

Competitive Programming

    Here, the learners are familiarized with competitive programming.

Projects

    Here, the learners are going to implement some projects based on Full-Stack Development.

Master Thesis/Project

Master industry-relevant thesis or projects through hands-on experience under the guidance of industry experts.

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

This MCA (Master of Computer Applications) Degree Program will provide you with career assistance in building your professional resume, conducting mock interviews to boost your confidence, giving you access to job boards, and mentoring you with industry experts.

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

After successfully completing the course, secure an online MCA Degree from JAIN (Deemed-to-be University), a recognized university in India.

Career 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

Dedicated Career Assistance

  • Dedicated program manager to solve your queries
  • Get access to personal career coach
  • E-portfolio & resume building sessions

GL eXcelerate - Career Support

GL eXcelerate is a career support program that will be made available to learners of Online MCA by JAIN. We aim to empower our learners with everything they need to succeed in their careers.

4000+

Leading organizations hire our alumini

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66%

Alumni Career Transitions

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  • 4000+ Hiring Companies
  • 66% Alumni Career Transitions

Program Fees

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

USD 4200

(Approximate INR value 3,10,800)

View Plans
  • 2-Year Program
  • Live Online Learning with Mentorship
  • Degree from JAIN (Deemed-to-be University)
  • Dedicated career support through interview workshops and mentorship
  • Access to GL eXcelerate - 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 cohort. Secure your seat by paying the admission fee.

Upcoming Application Deadline

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

Deadline: 21st Feb 2025

Apply Now

Cohort Start Date

Frequently Asked Questions

Frequently Asked Questions
What is the program structure for the MCA Degree Program?

This is a 2-year live online program. Two-way live online lectures are scheduled during the weekends.

How will I be evaluated during the MCA Course?

The MCA online Degree course is a comprehensive and exhaustive program with a steady evaluation scheme. This course evaluates learners on the basis of examinations, quizzes, assignments, case studies, and project reports.

What degree will I receive after completing the program?

Successful participants will be awarded an MCA Degree from JAIN (Deemed-to-be University). JAIN (Deemed-to-be University) is a NAAC ‘A’ Graded University with Graded

Autonomy status. It has been awarded 5 Stars by KSURF in the Young Universities category and has been ranked as the 6th best Private University in India by India Today.

Will there be career support after the completion of the MCA course?

Yes, candidates receive dedicated career support upon successful completion of the MCA Degree Program.

All candidates get access to GL Excelerate - Career Services Platform that helps you unlock your career potential by highlighting your skills and connecting you to the right opportunities for your next job through the following activities:

  • Exclusive recruitment drives
  • Access to curated jobs
  • Interview preparation
  • Dedicated Career mentorship with E-Portfolio
What is the MCA Degree course duration?

All interested candidates are required to apply for the program through the online application form. The admissions committee will review and shortlist candidates. Shortlisted candidates are required to clear an admissions test followed by a program selection interview. Selected candidates will secure an admission offer letter.

What is the eligibility criterion for the MCA Degree Program?

Candidates must have passed Bachelor’s Degree (Minimum 3 years) from a recognized University with at least 50% marks (45% in case of SC/ST) in aggregate. Final year students pursuing a bachelor’s degree are also eligible to apply.

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Still have queries? Contact Us

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at mailer@jain-online.com or +91 80456 81946

Application Closes 21st Feb 2025

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