Create Bigger and Better Solutions with Data
Data is everywhere, but its value relies on inquisitive professionals who can find the meaning behind the numbers. With a Bachelor of Science in Business Analytics from Clarkson University, you will gain the tools to become the problem-solver organizations want.
Why Major in Business Analytics at Clarkson?
Our program gives you the theoretical foundation and practical skills to turn data into relevant insights. As a student, you will also have the opportunity to build your résumé via high-quality internships and valuable global experiences. Our rigorous program is one of the reasons we are considered one of the best business schools in the country by The Princeton Review and U.S. News & World Report.
The skills you learn will be valued in today's data-driven business world, giving you access to any industry. Use algorithms to identify new business opportunities. Apply mathematical tools to create innovative solutions. Weave a story with the insights you acquire, clearly communicating findings and next steps.
Our faculty are renowned entrepreneurs and scholars who offer guidance both inside and outside the classroom. The Parker Career Center can also help you plan a personalized career path. You will have access to opportunities to apply your skills in our very own Innovation Hub and the entrepreneurship programs offered by Clarkson Ignite. You will graduate ready to hit the ground running.
What You'll Learn
You will complete classes in business fundamentals for the first two years of the program. You will then take the required courses for the major and other specialized courses. You can use electives to fulfill a minor or explore other fields.
The core requirements for the major are:
- Applied Data Analytics
- Big Data Architecture
- Data Analytics Project: Planning, Development, and Data Analysis
- Database Design and Management
- Data warehousing for Analytics
- Introduction to Application Development or Introduction to Programming and Software Design or Introduction to Computer Science
- Process and System Analysis and Modeling