Academics

B.S. in Data Science Overview

Curriculum

The curriculum will provide students with a solid foundation in the key data science principles and applications necessary to support organizational data needs and strategies. Students will gain proficiency in the fundamentals of data science programming, mathematical and analytical algorithms, data systems and pipelines, and data visualization and presentation. Students will learn key considerations and approaches for supporting complex data processes by studying computational probability, statistical inference and prediction, and related mathematical concepts. 

The core curriculum will instill strong technical knowledge and skills, alongside a deep understanding of how data policy and ethics impact and inform possible solutions to organizational challenges. Students will also learn to develop data presentations, applications, and dashboards, with a focus on communicating with and about complex datasets and findings.  With an emphasis on developing students’ ability to tackle real-world problems, the core coursework will equip students to understand and correctly apply data science in a broad range of organizations and contexts. 
 

The Undergraduate Record represents the official repository for academic program requirements. 

Learning Outcomes 

Pursuing a B.S. in Data Science will prepare you to become an expert in the field and work at the cutting edge of a new discipline. According to LinkedIn’s most recent Emerging Jobs Report, data science is booming and data scientist is one of the top three fastest-growing jobs. A B.S in Data Science from the University of Virginia opens career paths in public or private industry. Graduates of our program will:

• Identify, formulate, and solve complex problems by applying principles of data analytics, mathematics, systems, value, and design 
• Effectively communicate data products and findings to a range of audiences 
• Assess and diagnose ethical and professional conflicts in data science to make informed judgments 
• Appreciate the benefit of diverse perspectives when working within and leading data science teams 
• Lead and complete data-driven projects by establishing clear goals, planning tasks, and meeting objectives

The B.S. in Data Science degree program will require 120 credit hours. A final project course will be required.

Program Requirements