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Online BCA at Sharda University is a three-year undergraduate degree programme designed to equip students with programming, frontend and backend foundations, and object-oriented programming fundamentals. The programme covers frontend and backend development from the first semester. Sharda University Online BCA offers 10 specialisations in AI, data science, cybersecurity, cloud computing, Generative AI and LLMs, MLOps and AI engineering, and full stack development.
Online BCA at Sharda University Online consists of Campus Immersion, with scheduled visits to the Greater Noida campus. Students can get access to study material, digitised lectures and learning resources through the university’s web platform on any device, anytime, anywhere. After completing an Online BCA programme, graduates can pursue job roles, such as Full Stack Developer, Cyber Security Analyst, Data Analyst, ML Engineer, Mobile App Developer, and Cloud Engineer.
To be eligible for an Online BCA at Sharda University Online, candidates must have passed Class 12 from a recognised board, with a minimum aggregate.
Interested candidates can apply for admission to Sharda University Online BCA in online mode. Sharda University Online BCA admission is merit-based. Candidates need to submit a duly filled application form, along with relevant documents, and pay the requisite application fee to complete the Sharda University Online BCA admission process.
Applicants must follow the steps given below for Sharda University Online BCA admission:
Visit the official website - shardaonline.ai
Select the BCA 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 Sharda University Online BCA is structured across six semesters over two years, covering core subjects and specialisations. The curriculum also includes specialisation capstone and industry projects and allows students to specialise in their areas in three learning paths: AI, data science, and technology. The semester-wise Sharda Online BCA syllabus is as follows:
Problem Solving & Computational Thinking (C++)
Digital Electronics & Computer Organization
Frontend Development Basics (HTML, CSS, JavaScript)
Python Programming Fundamentals
Communicative English - I
Environmental Management
Problem Solving & Computational Thinking (C++) Lab
Frontend Development Lab (HTML, CSS, JavaScript)
Python Programming Lab
Foundations of AI & Emerging Technologies
Data Structures & Algorithms Fundamentals (C++)
Operating System & Unix Shell Programming
Backend Development Fundamentals (React.js, Node.js, Express)
UI/UX Design Fundamentals
Data Science Fundamentals (Pandas, NumPy)
AI Ethics & Social Implications
Data Structures & Algorithms Fundamentals (C++) Lab
Operating System & Unix Shell Programming Lab
Backend Development Lab (React.js, Node.js, Express)
UI/UX Design Lab
Object-Oriented Programming Fundamentals (Java)
Database Management Systems Fundamentals
Computational Methods
Cloud Computing Concepts & Services (AWS, Azure)
AI & ML Fundamentals (Scikit-learn, TensorFlow, Python)
Logical Skills Building & Soft Skills
Database Management Systems Lab
Object-Oriented Programming Lab (Java)
AI/ML Tools Lab (Jupyter, Pandas, Scikit-learn)
Design & Analysis of Algorithms
Computer Networks & Data Communication (TCP/IP, Wireshark)
Applied Python Programming
Data Warehousing & Mining (SQL, Hadoop)
Personality Development and Decision Making Skills
Design & Analysis of Algorithms Lab
Applied Python Programming Lab
Statistical Analysis & Data Visualisation
Research Methodology
Research Project / Industry Project I (Mini Capstone)
Natural Language Processing Fundamentals
Computer Vision with OpenCV & CNNs
Specialisation: Artificial Intelligence
Choose one learning path
AI
Advanced AI Development
Data Science
AI-Driven Analytics
Technology
AI Platform Engineering
Specialisation: Data Science
Choose one learning path
AI
Deep Learning for Data Science
Data Science
Advanced Data Analytics
Technology
Distributed Data Systems
Specialisation: AI & Data Science
Choose one learning path
AI
Advanced AI & Data Science Integration
Data Science
Data Science for AI Applications
Technology
Unified AI & Data Platform Architecture
Specialisation: Cyber Security
Choose one learning path
AI
AI in Web Security
Data Science
Cyber Threat Analytics
Technology
Web Application Security
Specialisation: Cloud Computing
Choose one learning path
AI
AI Deployment on Cloud
Data Science
Cloud Data Science Platforms
Technology
Cloud DevOps & Automation
Specialisation: Generative AI & LLMs
Choose one learning path
AI
Multimodal AI Systems
Data Science
Generative AI Analytics Applications
Technology
Generative AI Production Platforms
Specialisation: MLOps & AI Engineering
Choose one learning path
AI
ML Model Optimisation
Data Science
ML-Driven Analytics
Technology
ML Deployment Pipelines
Specialisation: Full Stack Development
Choose one learning path
AI
AI-Powered Web Applications
Data Science
Web Data Analytics
Technology
Web Systems Architecture
Specialisation: Software Development
Choose one learning path
AI
AI in Web Development
Data Science
Data-Driven Web Applications
Technology
Modern Web Frameworks
Specialisation: BCA General
Choose one learning path
AI
AI-Powered Business Intelligence
Data Science
Advanced Data Analytics
Technology
Enterprise Analytics Systems
Applied Machine Learning & MLOps Basics (MLflow, Scikit-learn)
Information Security & Cyber Laws (Cryptography, Compliance)
Industry Capstone Project
Predictive Analytics & ML for Business
Data Storytelling & Dashboard Design
Specialisation: Artificial Intelligence
Choose one learning path
AI
Advanced AI Applications & Research Methods
Data Science
Applied AI for Business Intelligence
Technology
Enterprise AI Engineering & Deployment
Specialisation: Data Science
Choose one learning path
AI
Neural Networks for Structured Data
Data Science
Time Series Analysis & Forecasting
Technology
Data Systems Architecture & Optimisation
Specialisation: AI & Data Science
Choose one learning path
AI
Production AI Pipelines & Model Serving
Data Science
Business Intelligence with SQL & Python
Technology
Unified Data & AI Systems Design
Specialisation: Cyber Security
Choose one learning path
AI
AI-Powered SOC Operations & Threat Hunting
Data Science
Threat Intelligence & Risk Analytics
Technology
Security Infrastructure & Hardening
Specialisation: Cloud Computing
Choose one learning path
AI
Enterprise AI Deployment on Cloud
Data Science
Cloud Data Platform & Pipeline Engineering
Technology
Multi-Cloud Architecture & Governance
Specialisation: Generative AI & LLMs
Choose one learning path
AI
Enterprise LLM Deployment & Evaluation
Data Science
Data Intelligence with Generative Models
Technology
Scalable GenAI Systems & Infrastructure
Specialisation: MLOps & AI Engineering
Choose one learning path
AI
Generative Models & Diffusion Techniques
Data Science
ML Performance Monitoring & Reporting
Technology
Enterprise ML Platform Engineering
Specialisation: Full Stack Development
Choose one learning path
AI
AI-Integrated REST & GraphQL APIs
Data Science
Full-Stack Data Dashboards & Reporting
Technology
Containerisation & Deployment with Docker
Specialisation: Software Development
Choose one learning path
AI
Production AI Systems Integration
Data Science
Data Engineering for Software Systems
Technology
DevOps & Release Engineering Practices
Specialisation: BCA General
Choose one learning path
AI
AI Decision Support Systems
Data Science
Prescriptive Analytics & Optimisation
Technology
Real-Time Analytics Infrastructure
Yes, Online BCA at Sharda University is entitled by the University Grants Commission (UGC).
Candidates must have passed 10+2 from a recognised board to enrol in Sharda University Online BCA.
No, admission to an Online BCA at Sharda University is merit-based. Candidates have to submit an application form, pay the admission fee, and upload relevant documents.
Yes, Sharda University Online provides AI-assisted placement assistance and also offers mentorship from founders and investors.
After completing an Online BCA, graduates can explore career options in AI, data science, software engineering, and full stack development.