Statistics is the science of collecting, managing, analyzing and interpreting data. Statistics is an essential tool in almost every field in undertaking research, product testing and development, quality control, and decision making.
Why major in Statistics?
With the increase in data available to businesses, organizations and consumers, the need to make sense of that data has exploded. As a result, statistics is one of colleges’ fastest growing majors. We use the expression “few are called and fewer are chosen.” Statistics requires excellent math skills, a sense of data structure and manipulation and good problem-solving abilities. The combination of these areas enables statisticians to assist in research and discovery in almost every discipline. To researchers, statistics is a set of tools to help estimate effects and test hypotheses. To statisticians, the field is an exciting combination of theory, method and discovery to guide research and bring products to market faster.
- Risk Assessment Analyst
- Market Researcher
- Pricing Analyst
- Federal Statistics Statistician
- Credit Analyst
- Sports Statistician
- Product Development Analyst
Graduate school paths
- Data Science
- Business Analytics
- Resource Economics
- Education Statistics
Uniqueness of our program
UD will allow you to apply statistical techniques to real data and real problems, making you highly sought after when it’s time to enter the job market. Our students build a “statistical imagination” in order to address a range of problems in diverse fields. At UD, you will build a firm foundation in statistical theory, complimented by courses in applied statistics and data management using SAS, R, JMP. Our courses apply to problem solving in areas like economics, biology, business or the environment. Couple this major with a minor in data analytics or resource economics, and you’ll land an impactful, high-paying job upon graduation!
Our degree emphasizes
- A strong foundation in mathematics, including calculus, linear algebra, and proofs (students automatically get a minor in math);
- A three-course foundation in computer science/programming (and many students add additional courses to get a minor in Computer Science);
- Foundation courses in probability and mathematical statistics;
- Application courses in regression and analysis of variance;
- A 15-credit area of application where students can build a minor in a related field where statistics are applied (examples are economics, business, psychology);
- Exposure to statistical software, including SAS, JMP, R and Python; and
- Opportunities to apply the knowledge in an applied setting such as an internship or campus project.
For more information, visit the UD Online Catalog.