Online MCA in Quantum Computing Program

Duration

2 Years

(4 Semesters)

1st Semester Fees

INR 32,875/-

2nd–4th Semester Fees

INR 32,375/-

per sem

Total Fees

INR 1,30,000/-

About Quantum Computing

The elective introduces qubits, quantum gates, superposition, entanglement, and major quantum algorithms like Shor's and Grover's. Concepts are simplified to help learners understand the future of high-performance computing..

Learning Modules

Qubits & Quantum States

Qubits are the basic units of quantum information that can exist in multiple states simultaneously. This module explains how quantum states are represented and manipulated.

Quantum Gates & Circuits

Quantum gates perform operations on qubits to build circuits. This module covers how these gates enable complex quantum computations.

Superposition

Superposition allows a qubit to exist in multiple states at the same time, increasing computational possibilities in quantum systems.

Entanglement

Entanglement links qubits so that the state of one instantly affects the other, enabling powerful quantum communication and processing.

Shor's Algorithm

Shor's algorithm efficiently factors large numbers and challenges classical encryption. This module explains how it works.

Grover's Algorithm

Grover's algorithm accelerates search operations in unstructured datasets, dramatically reducing search time.

High-Performance Quantum Computing Fundamentals

This module introduces how quantum computers achieve superior performance for computationally intensive tasks.

Career Path

Designs and builds both front-end and back-end components of web applications. Works with modern frameworks, APIs, cloud deployment, and scalable architectures.

Develops Android and iOS applications using native or cross-platform frameworks. Focuses on performance, UI/UX, and integration with cloud-based backends.

Automates development pipelines, manages CI/CD, and ensures smooth deployment. Works with containerization, monitoring tools, and cloud infrastructure.

Evaluates business requirements and designs technology solutions. Works closely with stakeholders to analyze workflows and recommend system improvements.

Builds machine learning models and integrates AI solutions into applications. Uses modern ML frameworks, data pipelines, and responsible-AI practices.

Leads IT projects, manages timelines, and coordinates cross-functional teams. Ensures successful delivery of technology solutions aligned with business goals.

Designs, develops, tests, and maintains software applications. Works with modern languages, design patterns, and agile development practices.

Analyzes large datasets to uncover insights and build predictive models. Uses statistical methods, machine learning, and data visualization tools.

Builds and deploys applications on cloud platforms like AWS, Azure, or GCP. Works with serverless computing, cloud-native tools, and scalable architectures.

Protects systems, data, and networks from cyber threats. Performs risk assessments, monitors attacks, and implements security controls.