With massive amounts of data collected from digital applications and mobile devices, Applied Statistics is one of the fastest growing career fields.
And with the knowledge gained on how to best learn from this data in the Applied Statistics program, you’ll be able to choose to work in a variety of fields — engineering, environment, finance, healthcare, government, retail, social sciences and more.
Applied Statistics includes planning for the collection of data, managing data, analyzing, interpreting and drawing conclusions from data, and identifying problems, solutions and opportunities using the analysis.
This major builds critical thinking and problem solving skills in data analysis and empirical research. In addition to career goals, it will prepare you for advanced degree programs in statistics and quantitative fields.
What Will I Learn?
- Understand the fundamentals of probability theory
- Understand statistical and inferential reasoning
- Become proficient at statistical computing
- Understand the fundamentals of statistical modeling and understand its limitations
- Become skilled in the description, interpretation and exploratory analysis of data by graphical and other means
- Learn how to effectively communicate statistics
Full list of Anthropology program goals can be found on the Hub for Teaching and Learning site.
Visit the University Catalog to learn about degree requirements and coursework for the Applied Statistics major and minor.
For guidance on course selection, talk with the Statistics Undergraduate Advisor.
Applied Statistics Major
- Outline of detailed requirements for the Major in Applied Statistics.
- All majors must complete the basic curriculum of MATH 115, 116, and 227 (alternatively biology double majors can take 113 and 114 in place of 115 and 116).
- All majors must take 18 credits of approved statistics courses and the two math classes Math 325 and Math 425.
- All majors must take 6 credits of cognate courses (courses outside of Applied Statistics besides Math 325 and Math 425) that are selected from a specified list in subjects like Mathematics, Economics, Data Science, or Industrial and Manufacturing Systems Engineering. Courses that are not on the list can be petitioned, but should be approved in advance. For the current list of approved cognates, see the relevant section of the detailed requirements for the Major in Applied Statistics.
Applied Statistics Minor
- A minor in the College of Arts, Sciences, and Letters consists of four upper-level courses (12 hours approved courses numbered 300 or higher) for the major in a given discipline. Only one of STAT 301, STAT 325 and STAT 363 can be used to satisfy this requirement. A student must also fulfill all prerequisite courses for the elected upper-level courses.
- You must have at least a 2.0 grade point average for the 12 hours of upper-division Applied Statistics courses.
- There are restrictions on how many transfer credits, internships, or “S/E” courses can be used to fulfill the 12 credit requirement (see the CASL Advising and Academic Success website or speak to Math & Stat advisor for specifics).
- Minors are NOT automatically granted. You must petition for recognition of a minor upon completion of the required coursework. Petition forms are available at the CASL Advising and Academic Success office.
Making the Most of Your Major
There are opportunities to develop skills and connect with others interested in anthropology beyond the classroom. Check out the Applied Statistics Major Map to get a more detailed, year-by-year view of how you can learn, engage, network and transform your community and prepare for life after graduation.
Join a professional Applied Statistics organization. Explore UM-Dearborn student organizations on VictorsLink.
Get Real World Experience
Plan for Life After Graduation
Applied Statistics prepares students with the skills necessary in the modern workplace. Career Services offers assistance with job searching, resumes, interviews and graduate school applications.
General Program Information
Department Contact Information
Department of Mathematics & Statistics
2014 CASL Building