Mathematics
Analyze, interpret and apply data
to solve real-world challenges
A degree in Statistics prepares students for a wide variety of careers in data science, business analytics, finance, healthcare, government and technology. Through a curriculum focused on statistical theory, applied statistics and data analytics, our graduates develop essential skills in data management, statistical modeling and computational tools. This program also provides excellent preparation for advanced studies in statistics or related disciplines.
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82%
Graduates in statistics-related fields employed or pursuing advanced degrees within six months of graduation
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36%
Growth in demand for statistics major-related jobs
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$108,000
Median annual salary for professionals in statistics major-related jobs in 2023
All majors complete an individual capstone project under the direction of a faculty member. Students have opportunities to engage in undergraduate research through UD-funded summer fellowships. If you are interested in research, we encourage you to pursue several summer opportunities through the National Science Foundation’s Research Experiences for Undergraduates program.
The Biennial Alumni Career Seminar connects current students with some of our distinguished mathematics alumni and gives students the opportunity to understand the breadth of career opportunities. Undergraduate Mathematics Day is a biennial conference allowing undergraduate students to hear about mathematical research and the applications to disciplines related to mathematics.
Learn moreStatistics prepares students for diverse and impactful careers. Chris Cabanski '07 is the director of biostatistics at the non-profit Parker Institute for Cancer Immunotherapy. He oversees the biostatistics, statistical programming and clinical reporting for all PICI-sponsored clinical trials testing to determine whether new cancer treatments are safe and effective.

Explore
Visit Campus
Interested in learning more about mathematics? We'd love to meet with you. Schedule an academic appointment by calling our department at 937-229-2511. You can also choose to schedule a general campus tour and admission presentation.
Data Analytics Club
The Data Analytics Club is a student-run organization focused on fostering skills in data analytics and visualization. Through workshops, competitions and real-world projects, members gain hands-on experience while networking with peers, alumni and industry professionals. The club also hosts guest speakers and social events, creating a supportive community for aspiring data analysts to thrive and collaborate.
Statistics and AI: A Powerful Partnership
Our Statistics curriculum prepares students with the skills and resources needed to excel in data-driven careers, while also emphasizing the smart and efficient use of AI tools. Students gain hands-on experience with leading data analysis software, such as R, SAS, and Python and learn how to leverage AI to enhance their workflow without becoming overly reliant on these technologies. Small class sizes promote personalized instruction, fostering teamwork and independent problem-solving, key skills for success in the modern landscape of data analysis and AI utilization.
National and international competitions
We pride ourselves in students actively applying what they learn in the classroom by participating in mathematics-related competitions across the U.S. and internationally. The American Statistical Association’s DataFest and the SIMIODE Challenge Using Differential Equations Modeling are just two of several opportunities available to students.
Bachelor’s Plus Master’s Program
In the Department of Mathematics, you can earn a bachelor’s and a master’s degree in just five years at the University of Dayton. Statistics majors can enter a formal program to earn the Master of Applied Mathematics.

Experiential Learning
Real-World Experience
Through practical learning opportunities like internships and co-ops, you can build your resume, gain practical experience and prepare for a successful career.
Next Steps
16
Average class size for Mathematical courses.