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Solve Problems With Analysis
Miami University’s Bachelor of Science (B.S.) in Data, Actuarial, and Statistical Sciences prepares students for careers in actuarial science, data science, statistics, and business analytics. Through a strong foundation in mathematics, probability, statistical modeling, and data analysis, students learn to interpret complex information, assess financial risk, and solve real-world problems using quantitative methods.
Students gain hands-on experience with statistical software, predictive modeling, and data-driven decision-making. With concentrations in Actuarial Science, Data Science, and Statistics, the program allows students to tailor their education toward professional interests such as insurance, financial risk management, machine learning, business intelligence, and statistical research.
Graduates develop analytical, technical, and problem-solving skills valued across industries, including finance, insurance, healthcare, technology, consulting, and government. Whether pursuing a career as an actuary, data scientist, statistician, or business analyst, students build a foundation for professional opportunities and advanced study in quantitative fields.
Curriculum and Courses
The Data, Actuarial, and Statistical Sciences Bachelor of Science (B.S.) program combines a strong foundation in mathematics, statistics, and data analysis with opportunities for specialized study. Students develop analytical and problem-solving skills through core coursework and select a concentration in Actuarial Science, Data Science, or Statistics based on their academic interests and career goals. Each concentration provides focused preparation for careers in fields such as insurance, finance, technology, research, and data analytics, as well as opportunities for graduate study.
The Actuarial Science concentration prepares students to use mathematics, statistics, and probability to assess financial risk and uncertainty. Students develop analytical and problem-solving skills applicable to careers in insurance, finance, consulting, and risk management. Coursework emphasizes mathematical modeling, statistical analysis, and the quantitative foundations used by professional actuaries.
Featured Concentration Courses
- MTH 247 – Math Finance for Actuaries
- STA 472 – Life Contingencies
- FIN 301 – Introduction to Business Finance
- STA 467 – Statistical Learning
- STA 483 – Analysis of Forecasting Systems
The Data Science concentration prepares students to analyze complex datasets, identify patterns, and use data to solve real-world problems. Students develop skills in statistical modeling, programming, machine learning, and data visualization. This concentration provides a foundation for careers in data science, business analytics, technology, and research, where professionals use data-driven insights to support decision-making.
Featured Concentration Courses
- CSE 271 – Object-Oriented Programming
- CSE 274 – Data Abstraction and Data Structures
- CSE 385 – Database Systems
- STA 404 – Advanced Data Visualization
- STA 467 – Statistical Learning
The Statistics concentration focuses on using statistical methods to collect, analyze, and interpret data. Students develop skills in probability, statistical modeling, experimental design, and data analysis to identify trends and draw meaningful conclusions. This concentration prepares students for careers in research, healthcare, business, government, and other fields that rely on statistical analysis and evidence-based decision-making.
Featured Concentration Courses
- STA 466 – Experimental Design Methods
- STA 475 – Data Analysis Practicum
- STA 333 – Nonparametric Statistics
- STA 427 – Introduction to Bayesian Statistics
- STA 432 – Sampling Design and Analysis
Especially with my initial interest in statistics from high school, I knew the data science track would be engaging and beneficial for me. Through all the coursework and exposure to authentic data projects I have been a part of, I have grown a love for discovering data-driven solutions to solve real-world problems.
Alex Koltovski ’24
I chose my major because I knew I loved math and stats from the start, but wasn’t sure if my major was the right fit until I realized it was the perfect combination of all things I like to learn about: Math, Statistics, and Computer Science.
Paige Jones
Other Opportunities
- Research: Student-run projects supported by close faculty mentorship
- DataFest: Annual data analysis competition sponsored by the American Statistical Association (ASA)
- Stats + Stories: Podcast begun in 2013 about the statistics behind the stories and the stories behind the statistics (statsandstories.net). Co-sponsored by the Department of Media, Journalism and Film.
- SOA Research Case Study Challenge: Annual competition organized by the Society of Actuaries.
Careers in Data Science and Statistics
Statisticians employ both specific analytical and computational tools and general problem-solving skills. In 2021, the U.S. Bureau of Labor Statistics estimated that the number of statisticians and data scientists will grow by over 32% between 2021 and 2031, with over 17,000 openings per year.
Your college experience here will be one of the most exciting times of your life. To make sure of this, we’ll provide you with a powerful support system.
Facts and Stats
First-to-second year retention
Miami University Data
Among Public Universities in the United States for Four-Year Graduation Rate
The Chronicle of Higher Education Almanac
Contact Us
Undergraduate Admission
513-529-2531
[email protected]
Department of Statistics
Jing Zhang, Ph.D.
Lead Departmental Advisor
McVey Data Science 262
105 Tallawanda Rd., Oxford, OH 45056
[email protected]
513-529-5824