Bachelor's Major
Data Analytics
Bridging the gap between raw data and business strategy, Data Analytics focuses on the practical application of data to drive decision-making. Unlike Data Science, which builds new predictive models, Analytics focuses on interpreting existing data to find 'the smoking gun'—the insight that saves millions or defines a new product strategy. It combines technical SQL/Python skills with strong business acumen and communication.
Admission & Aptitude
Curiosity and a detective-like mindset
Strong written and verbal communication skills
Aptitude for statistics and pattern recognition
Basic programming intuition (SQL is mandatory)
Curriculum Pillars
Analysis & Viz
Data Management
Business Strategy
What You'll Learn
How to clean, query, and manage large datasets using SQL and Python.
Design dashboards that tell a clear, undeniable business story.
Apply statistical methods to validate business hypotheses (Significance testing).
Learning Style
Practical and project-based. You will work with real, messy datasets to answer specific business questions. Expect a mix of coding labs and presentations where you must defend your findings to a non-technical audience.
Is This You?
You love detective stories and finding the 'smoking gun' in a pile of evidence.
You are pragmatic; you care about what works, not just what is theoretically perfect.
You enjoy presenting your findings and persuading others.
Career Outcomes
Business Intelligence Analyst: serving as the 'source of truth' for company metrics.
Product Analyst: Using user data to guide software feature development.
Marketing Analyst: Optimizing ad spend and campaign ROI.
Typical Roles
Core Industries
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