Shape the Future of Data Science

The Bachelor of Science in Statistics through the Department of Mathematics at the University of Dayton prepares you 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, you'll develop essential skills in data management, statistical modeling and computational tools.


About the Statistics (B.S.) Program

Why study statistics at UD?

Experiential Learning

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.

Capstone Project

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 also pursue summer research opportunities through the National Science Foundation's Research Experiences for Undergraduates program.

Variety of Minors

Customize your degree with a minor, such as AI and data science, actuarial science or data analytics.

Small Class Sizes

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.

Take the Next Step

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

How do I apply to the statistics program?

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.

What is the tuition cost and is financial aid available?

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.


Degree Requirements and Curriculum

Statistics B.S. Degree Requirements and Information

Requirements

The Bachelor of Science in Statistics degree requires a total of at least 120 credit hours. This degree also includes requirements from our flexible undergraduate curriculum, known as the Common Academic Program (CAP).

About the Degree

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.

Sample Plan of Study

This is a sample plan of study for students starting at UD in the 2026-27 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 the recruitment and admission team (prospective students) or your holistic advisor (current students) with questions.

Semester 1
  • ASI 150 – Introduction to the University Experience
    1
  • MTH 168 – Analytic Geometry & Calculus I
    4
  • HUM 101 – Chaminade Seminar: Reading and Responding to the Signs of the Times
    3
  • CMM 100 – Principles of Oral Communication
    3
  • CAP Natural Science with Lab
    4
  • Total Credit Hours 15
Semester 2
  • MTH 169 – Analytic Geometry & Calculus II
    4
  • MTH 208 – Exploratory Data Analysis
    3
  • CPS 150 – Algorithms & Programming I
    4
  • HUM 102 – Marie Thérèse Seminar: Human Dignity and the Common Good
    3
  • CAP Social Science
    3
  • Total Credit Hours 17
Semester 3
  • MTH 218 – Analytic Geometry & Calculus III
    4
  • MTH 308 – Foundations & Discrete Mathematics
    3
  • MTH 209 – Data Manipulation and Management
    3
  • ENG 200 – Writing Seminar II
    3
  • CAP Arts
    3
  • Total Credit Hours 16
Semester 4
  • MTH 301 OR 310 – 301: Matrix Theory and Applications; 310: Linear Algebra & Matrices
    3
  • MTH 415 – Machine Learning for Data Analytics
    3
  • Natural Science with Lab
    4
  • CAP Advanced Philosophical Studies/Practical Ethical Action
    3
  • Social Science Elective
    3
  • Total Credit Hours 16
Semester 5
  • MTH 411 – Probability & Statistics I
    3
  • MTH 369 – Regression Models for Data Analytics
    3
  • Science Elective
    3
  • CAP Advanced Religious Studies/Faith Traditions
    3
  • General Elective
    3
  • Total Credit Hours 15
Semester 6
  • MTH 412 – Probability & Statistics II
    3
  • MTH 447 – Applied Design of Experiments
    3
  • Science Elective
    3
  • CAP Advanced Historical Studies
    3
  • General Elective
    3
  • Total Credit Hours 15
Semester 7
  • MTH 330 OR 416 – 330: Intermediate Analysis; 416: Bayesian Statistics
    3
  • MTH 417 – Introduction to Computational Statistics
    3
  • CAP Interdisciplinary Investigations
    3
  • General Electives
    6
  • Total Credit Hours 15
Semester 8
  • MTH 480 – Mathematics Capstone
    1
  • CAP Diversity and Social Justice
    3
  • General Electives
    8
  • Total Credit Hours 12

Transfer and Exam Credits

Wondering how college credits you've already earned (e.g., transfer credit, CCP, AP/IB/CLEP exams) will apply to your undergraduate degree? Use our online Transfer Credit Evaluation tool to find out.


Success After Graduation

Get more than your foot in the door — get ready for success. At our College of Arts and Sciences, you will have the opportunity to combine the classroom and business world together in a way that allows you to further sharpen your skills. It’s a key reason why employers love hiring our students — they can hit the ground running.


Beyond the Classroom: The UD Statistics Experience

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.

Featured Mathematics Events

The mathematics department organizes and hosts the popular events, including the Integration Bee, William Lowell Putnam Mathematical Competition, Undergraduate Mathematics Day and the Department of Mathematics Colloquium.

Co-Ops and Internships

Through practical learning opportunities like internships and co-ops, you can build your resume, gain practical experience and prepare for a successful career.

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.


Walk. Run. Fly. Soar.

Success is a Journey

At the University of Dayton, you'll have a supportive community dedicated to fueling your success. Through guaranteed, real-world experience, you'll build the skills and confidence needed to be workforce ready.