
Online BBA in Data Analytics
Bachelor of Business Administration Specialization Track in Data Analytics
The Online BBA is a 3-year dual-specialization program for learners aspiring to build careers in business administration. Open to 12th-pass students, it offers a choice of two specializations in areas like finance, marketing, HR, and business economics. The industry-relevant, case-based curriculum bridges theory and practice through projects and case studies for real-world managerial learning. The specialized track in Data Analytics focuses on domain-specific core competencies, practical industry workflows, and career-oriented learning.
Career Scope & Salary in Data Analytics
Leading job designations, recruitment domains, and salary compensation after graduating in Data Analytics.
Data Visualization Associate
₹4–5 LPABuilds charts and dashboards using BI tools
Business Analyst
₹4–6 LPAStudies business data and recommends improvements
MIS Executive
₹3–4.5 LPAPrepares dashboards and daily/weekly performance reports
Data Visualization Specialist/Engineer
₹2.6 to ₹17.0 LPAA Data Visualization Specialist/Engineer creates visual representations of data, such as charts, graphs, and interactive dashboards, to help people understand complex information and make better decisions. Key responsibilities include collaborating with stakeholders to define metrics, analyzing data to find trends, and using tools like Tableau or Power BI to design and maintain visualizations that clearly communicate insights to both technical and non-technical audiences.
Risk Analyst
₹2.8 L/yr - ₹20 L/yrA risk analyst job description involves identifying, assessing, and mitigating financial, operational, and compliance risks within an organization. Key duties include analyzing data, monitoring market and regulatory trends, developing risk management strategies, creating reports, and presenting findings to stakeholders to help minimize potential threats and losses.
Data Scientist
₹6–14 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 Engineer
₹4 - 5 LPAA data engineer designs, builds, and maintains data infrastructure like pipelines and databases, ensuring data is collected, stored, and made accessible for analysis. Key responsibilities include developing and optimizing ETL processes, ensuring data quality and security, and collaborating with data analysts and scientists to meet business needs. Essential skills include proficiency in languages like SQL and Python, knowledge of big data technologies, and experience with cloud platforms.