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    Quick Facts

    Fees Details

    General

    ₹ 1.35 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 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.


    Programme Offerings

    • UGC-entitled degree
    • Blended learning model
    • Robust curriculum
    • Global business exposure and study tours
    • Specialisations
    • Industry mentorship and internships
    • Weekly on-campus bootcamps
    • offline sessions
    • Campus immersion
    • Hands-on learning through virtu

    Eligibility Criteria

    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.

    Admission Details

    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.

    Application Details

    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

    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

    Sharda University Online Frequently Asked Questions (FAQ's)

    1: Is an Online BCA at Sharda University UGC-recognised?

    Yes, Online BCA at Sharda University is entitled by the University Grants Commission (UGC).

    2: What qualifications are required for admission to Sharda University Online BCA?

    Candidates must have passed 10+2 from a recognised board to enrol in Sharda University Online BCA.

    3: Is there any entrance exam for admission to an Online BCA at Sharda University?

    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.

    4: Does Sharda University Online provide placement assistance?

    Yes, Sharda University Online provides AI-assisted placement assistance and also offers mentorship from founders and investors. 

    5: What are the career options available after Online BCA?

    After completing an Online BCA, graduates can explore career options in AI, data science, software engineering, and full stack development.

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