Online MCA Program - Business Data Analytics

predictive analytics | business modelling | performance analysis

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 Business Data Analytics

The elective focuses on predictive analytics, business modelling, and performance analysis. Learners gain skills in interpreting trends and applying data-driven decision-making to real business scenarios.

Learning Modules

Analyze historical data to forecast future trends, helping businesses make proactive, informed decisions.

Build and evaluate models that simulate business scenarios and test strategies for optimal outcomes.

Assess organizational performance using key metrics, interpret trends, and identify areas for improvement.

Learn to spot patterns in data, uncover insights, and translate them into actionable strategies for real business challenges.

Apply analytical insights to guide strategic decisions, improve efficiency, and drive measurable business results.

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.