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    Quick Facts

    Fees Details

    General

    ₹ 1.30 L

    Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

    Course Details

    Online MCA at Sharda University is a two-year online postgraduate degree programme designed to build computing foundations. The programme comes with nine specialisations across AI, MLOps, Cloud and GenAI and provides hands-on virtual labs every semester. Students will learn advanced DSA, OS and Computer Architecture from the first semester of Sharda University Online MCA.

    Online MCA at Sharda University Online includes 8-credit industry capstone in the fourth semester on real-world datasets. After completing the Online MCA programme, students will build skills in programming, data and AI, Cloud and DevOps, and full stack and APIs. Online MCA graduates can pursue various job roles, including Software Architect, AI/ML Engineer, Data Engineer, Cloud Solutions Architect, and Backend / Mobile Engineer.


    Programme Offerings

    • UGC-entitled degree
    • online learning
    • Robust curriculum
    • 9 Specialisations
    • Hands-on virtual labs every semester
    • Industry mentorship and internships
    • Campus immersion
    • AI assessments and evaluation
    • placement assistance

    Eligibility Criteria

    Candidates interested in pursuing Sharda University Online MCA must have completed a BCA / B.Sc. CS degree from a recognised university.

    Admission Details

    Candidates seeking admission to Sharda University Online MCA are required to submit an application form online. Online MCA admission at Sharda University is merit-based. Along with a duly filled application form, candidates need to submit relevant documents, and pay the requisite application fee to complete the Sharda University Online MCA admission process.

    Application Details

    Applicants must follow the steps mentioned below for Sharda University Online MCA admission:

    • Visit the official website - shardaonline.ai

    • Select the MCA programme and meet the eligibility criteria

    • Complete your applicant profile and submit the application form

    • Pay the program fee

    • Upload your documents to confirm your admission

    The Syllabus

    The syllabus of Online MCA at Sharda University Online is structured across four semesters over two years. The curriculum covers computing foundations and core development subjects along with three projects in the first two semesters. The third and fourth semesters include specialisation capstone and industry projects. Students can specialise in their areas in three learning paths: AI, data science, and technology. The semester-wise Sharda University Online MCA syllabus is given below:

    • Mathematical Foundations for Computing

    • Problem Solving & Computational Thinking (C++)

    • Operating System & Unix Shell Programming

    • Computer Architecture and Organization

    • Data Communication and Computer Networks

    • Introduction to Computers & Technology

    • Foundations of AI

    • Data Structures & Algorithms Fundamentals (C++)

    • Database Management Systems

    • Software Engineering Fundamentals

    • Java Programming Fundamentals

    • Logical Skills Building & Soft Skills

    • AI Ethics & Responsible Technology

    • Application Programming in Python

    • Design & Analysis of Algorithms

    • Statistical Methods in Decision Making

    • Data Visualization

    Specialisation: Artificial Intelligence

    Choose one learning path

    AI

    • Big Data Analytics

    Data Science

    • AI for Data Scientists

    Technology

    • AI Frameworks & Tools

    Specialisation: Data Science

    AI

    • AI for Data Scientists

    Data Science

    • Technology and Business Analytics

    Technology

    • Data Visualization

    Specialisation: AI & Data Science

    AI

    • Data Visualization

    Data Science

    • BI for Data Science

    Technology

    • AI-Data Platforms Introduction

    Specialisation: Software Engineering

    AI

    • ML for Software Engineers

    Data Science

    • Software Data Analytics

    Technology

    • Technology and Business Analytics

    Specialisation: Cyber Security

    AI

    • Object Oriented Modelling and Design Pattern

    Data Science

    • Network Traffic Data Analysis

    Technology

    • Cyber Threat Intelligence

    Specialisation: Cloud Computing

    AI

    • MLOps on Cloud Platforms

    Data Science

    • Fundamentals of Cloud Security

    Technology

    • Cloud Service Management

    Specialisation: Generative AI & LLMs

    AI

    • Generative AI Analytics Foundations

    Data Science

    • Generative AI Frameworks & Deployment Tools

    Technology

    • Multimodal GenAI Applications

    Specialisation: MLOps & AI Engineering

    AI

    • AI DevOps Fundamentals

    Data Science

    • Containerisation for ML Workloads

    Technology

    • ML Deployment Automation

    Specialisation: Full Stack Development

    AI

    • AI in Web Applications

    Data Science

    • Web Data Analytics

    Technology

    • Modern Full-Stack Frameworks

    • Technology Product Management & Agile Delivery (Scrum)

    • Research Project / Industry / Open-Dataset Problem

    • Artificial Intelligence and Machine Learning

    • Neural Networks and Deep Learning

    Specialisation: Artificial Intelligence

    Choose one learning path

    AI

    • Time Series Analytics

    Data Science

    • AI-Driven Data Science

    Technology

    • AI DevOps & CI/CD

    Specialisation: Data Science

    AI

    • AI-Driven Data Science

    Data Science

    • Time Series Analytics

    Technology

    • Real-Time Data Processing

    Specialisation: AI & Data Science

    AI

    • AI-Driven Data Science

    Data Science

    • NLP for Data Science

    Technology

    • Predictive Analytics using Machine Learning

    Specialisation: Software Engineering

    AI

    • DevOps Data Engineering

    Data Science

    • ML for Software Engineers

    Technology

    • C# with ASP.NET

    Specialisation: Cyber Security

    AI

    • AI-Powered Penetration Testing

    Data Science

    • Cloud Infrastructure and Service

    Technology

    • Internet of Things

    Specialisation: Cloud Computing

    AI

    • Real-Time Cloud Analytics

    Data Science

    • Cloud DevOps & Automation

    Technology

    • Cloud Data Science Platforms

    Specialisation: Generative AI & LLMs

    AI

    • Advanced LLM Engineering

    Data Science

    • Generative AI Data Analytics

    Technology

    • LLM Analytics Applications

    Specialisation: MLOps & AI Engineering

    AI

    • AI Deployment on Cloud

    Data Science

    • MLOps Analytics Platform

    Technology

    • ML Performance Analytics

    Specialisation: Full Stack Development

    AI

    • Analytics Dashboard Development

    Data Science

    • Cloud Deployment Strategies

    Technology

    • Microservices Architecture

    Sharda University Online Frequently Asked Questions (FAQ's)

    1: Is Sharda University Online MCA UGC recognised?

    Yes, the online MCA degree at Sharda University is entitled by the University Grants Commission (UGC).

    2: Who can enrol in an Online MCA at Sharda University?

    Candidates who have completed a BCA or B.Sc. CS are eligible to apply for an Online MCA at Sharda University.

    3: Is there any entrance test for admission to Sharda University Online MCA?

    No, admission to Sharda University Online MCA is merit-based.

    4: What are the specialisations offered in Sharda University Online MCA?

    Sharda University Online MCA offers nine specialisations, including AI, Software Engineering, AI and Data Science, Cyber Security, Cloud Computing, Generative AI and LLMs, MLOps and AI Engineering, and Full Stack Development.

    5: What are the career opportunities after an Online MCA?

    After completing an Online MCA, graduates can pursue job roles such as Software Architect, Data Engineer, AI/ML Engineer, and Cybersecurity Engineer.

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