Data Analytics

A Flexible, Interdisciplinary Pathway

You can tailor this major to your interests, such as biology, computer science, psychology, sustainability, engineering technology or the social sciences, to make analytics meaningful across disciplines.

Learning Through Real Work, Not Canned Examples

Courses integrate datasets from public agencies, scientific studies, online repositories and large-scale survey databases, so you'll gain experience working with the kinds of complex, imperfect data that professionals encounter.

Close Faculty Mentorship in a Small-Program Environment

You'll receive personalized guidance on projects, career development and undergraduate research, which are opportunities that are harder to access in larger analytics programs.

A Collaborative Dayton Ecosystem

UD's location within a growing analytics and technology hub provides access to internships, applied projects and partnerships with health networks, research institutes, manufacturing companies and nonprofit organizations.

Strong Preparation for Next Steps

You'll graduate with a solid foundation in statistical thinking, programming and responsible analytic practices. All of these skills support both immediate employment and further study.

Ready to Take the Next Step?

Explore admission options or schedule an academic visit to learn more about data analytics at UD.

The B.S. in Data Analytics at the University of Dayton prepares you to work with complex data using a combination of statistical reasoning, computational skills and hands-on project experience. You'll learn to collect, manage and analyze data, build predictive models and communicate insights clearly.

The program's interdisciplinary structure, rooted in mathematics, statistics and computer science, provides you with broad technical training while allowing flexibility to explore applications across the natural sciences, social sciences, business, engineering and the humanities. As a graduate, you'll be equipped to translate data into evidence-based decisions in a wide range of professional and academic pathways.

Sample Plan of Study

This is a sample plan of study for students starting at UD in the 2025-26 academic year. This is a recommended course sequence, but your schedule may vary depending on previously earned college credits, course availability, advisor recommendations, and your personal goals and interests. Please contact your holistic advisor if you have any questions.

Additional Mathematics Programs

• Mathematics (B.A., B.S.)
• Statistics (B.S.)
• Actuarial Science (Minor)
• Data Analytics (Minor)
• Mathematics (Minor)
• Applied Mathematics (M.S.)

Related Programs

• Business Analytics (B.S.)
• Business Economics (B.S.)
• Computer Science (B.S.)
• Economics (B.A.)
• Economics (Minor)
• Discover (Undecided)
• Discover Business

Because this new program was approved in January 2026, students admitted for fall 2026 will have the option to change their major to data analytics or add data analytics as a double major in the fall by speaking with their holistic advisor.

Students enrolling in spring 2027 and later will be able to apply directly to the data analytics program. The application for 2027 opens Aug. 1.

At the University of Dayton, applying is free and test scores are optional. When you apply, you'll automatically be considered for a merit scholarship.

Learn about our admission process, then apply using UD's application or the Common App.

Rooted in our Catholic, Marianist traditions, the University of Dayton is dedicated to being transparent and ensuring student success. And with high graduation and success rates, UD is an excellent value.

To help you cover your costs, a variety of scholarships, grants, loans and part-time work study are available. The University also accepts transfer credits and credit by exam for undergraduates, giving you more flexibility to add a double major or minor or participate in a transformational experience like study abroad or co-op.