Data Science Major Curriculum Requirements
| First-Year Gateway Experience | ||
| Global Foundations of Character and Leadership | ||
| Global Foundations of Organizations and Business | ||
| Writing Workshop | ||
| Bryant IDEA: Innovation and Design Experience For All | ||
| Data Science Major Requirements | ||
| Introduction to Data Science | ||
| Introduction to Programming | ||
| Data Visualization | ||
| Programming for Data Science | ||
| Introduction to Machine Learning | ||
| Database Management System Principles | ||
| Infrastructure and Cloud Computing | ||
| Data Warehousing in the Age of Big Data | ||
| Big Data Analytics | ||
| Data Science Capstone | ||
Two (ISA) Technology Electives (at least 1 must be at the 400 level) | ||
| Liberal Arts Core Requirements | ||
| Microeconomic Principles | ||
| Macroeconomic Principles | ||
| Introduction to Literary Studies | ||
One Humanities Historical Survey Course | ||
| Liberal Arts Distribution Requirements | ||
One Historical Mode of Thought (Upper Level) | ||
One Literary Mode of Thought (Upper Level) | ||
| Written Communication | ||
| The Legal Environment of Business | ||
| Science Requirements | ||
| Artificial Intelligence and Robotics and Artificial Intelligence and Robotics Laboratory | ||
or SCI 378 | Computer Programming for the Sciences | |
One Scientific Mode of Thought (If SCI 378 is selected, a course and corresponding lab credit is required) | ||
| Mathematics Requirements | ||
| Mathematical Analysis | ||
| Statistics I | ||
| Statistics II | ||
One Mathematic Elective (at the 200 or above level) | ||
| Business Administration Minor | ||
| Principles of Financial Accounting | ||
| Introduction to Information Technology and Analytics | ||
| Financial Management | ||
| Management Principles and Practice | ||
| Operations Management | ||
| Foundations of Marketing Management | ||
Two Non-Business Electives | ||
Two Business Electives | ||
One Open Elective | ||
122 credits required for graduation