Overview
Data & Analytics is one of the fastest-growing and most in-demand fields worldwide. As organizations across industries become increasingly data-driven, the ability to collect, analyze, and extract insights from large volumes of information has become essential for innovation and strategic decision-making.
Studying Data & Analytics equips students with a blend of technical skills (like programming and statistics) and business acumen — making it a powerful choice for students interested in roles at the intersection of technology, business, and problem-solving.
Why Students Choose This Major
Explosive Job Growth: From finance to healthcare, nearly every industry is seeking data analysts, scientists, and business intelligence experts.
High Earning Potential: Roles in data often command competitive salaries due to the technical skillsets required.
STEM-Designated Advantage: Many U.S. programs are STEM-certified, giving international students the option for extended post-graduation work authorization (OPT).
Flexible Career Paths: Students can move into analytics, data science, machine learning, marketing analytics, operations, and beyond.
Impact-Driven: Data is used to improve systems, predict trends, and make informed decisions — with real-world impact.
Degree Options
Bachelor’s in Data Analytics / Business Analytics: Combines math, statistics, computer science, and business. Programs often include hands-on projects and tools like Excel, SQL, Python, and Tableau.
Bachelor’s in Data Science: Heavier on computer science and advanced statistics, ideal for students interested in building models or pursuing machine learning.
Master’s in Business Analytics / Data Analytics / Data Science: Ideal for students with a quantitative background seeking career advancement or a pivot into data roles.
Other Related Programs:
Information Systems
Applied Statistics
Decision Science
Operations Research
Pro Tip
Look for programs that include real-world capstone projects or partner with companies for internships — these experiences are crucial when applying for jobs in data. Learning to tell a story with data is just as important as writing code.
