
Online BCA in Data Analysis
Bachelor of Computer Applications Specialization Track in Data Analysis
The Online BCA program is a 3-year course designed for learners aiming for careers in Software Development, Testing, or Analytics. Open to anyone with a 10+2 qualification, it bridges theory and practice through industry interaction, case studies, and projects. The curriculum builds strong skills in programming, data structures, databases, business analytics, and machine learning. The specialized track in Data Analysis focuses on domain-specific core competencies, practical industry workflows, and career-oriented learning.
Career Scope & Salary in Data Analysis
Leading job designations, recruitment domains, and salary compensation after graduating in Data Analysis.
Data Scientist
₹5.81 to ₹13 LPAA data scientist job description involves collecting, cleaning, and analyzing large datasets to uncover insights and build predictive models using machine learning and statistics. They must communicate findings to stakeholders through reports and visualizations and collaborate with cross-functional teams to drive data-driven decisions.
Data Visualization Specialist
₹4.8 to ₹16.0 LPAA Data Visualization Specialist transforms complex datasets into clear, easy-to-understand visual formats like charts, graphs, and interactive dashboards to help stakeholders make data-driven decisions. Key responsibilities include analyzing data, using tools such as Tableau and Power BI, creating compelling visual stories, and effectively communicating insights to both technical and business audiences.
Data Engineer
₹4 - ₹24 LPAA Data Engineer's job description involves building and maintaining the infrastructure and systems for collecting, storing, processing, and analyzing data. Key responsibilities include designing data pipelines (often using ETL/ELT processes), creating and managing large-scale databases, ensuring data quality and security, and working with data scientists and analysts to make data accessible for business intelligence and machine learning applications. This role requires technical skills in programming languages like Python and SQL, as well as knowledge of big data technologies and cloud platforms such as AWS or Azure.