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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.
Candidates interested in pursuing Sharda University Online MCA must have completed a BCA / B.Sc. CS degree from a recognised university.
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.
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 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
Yes, the online MCA degree at Sharda University is entitled by the University Grants Commission (UGC).
Candidates who have completed a BCA or B.Sc. CS are eligible to apply for an Online MCA at Sharda University.
No, admission to Sharda University Online MCA is merit-based.
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.
After completing an Online MCA, graduates can pursue job roles such as Software Architect, Data Engineer, AI/ML Engineer, and Cybersecurity Engineer.