The ability to analyze and use such data requires a new set of skills that an Applied Statistics major offers.
Statistics is the science of learning from data. It 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. Massive amounts of data are being collected from digital applications and mobile devices in addition to those from the fields of engineering, environment, finance, healthcare, retail, and social sciences. The volume, variety and velocity of this data poses unique opportunities and challenges. The ability to analyze and use such data requires a new set of skills that an Applied Statistics major offers. This makes Applied Statistics one of the fastest growing career fields today. The Applied Statistics major builds critical thinking and problem solving skills in data analysis and empirical research. It prepares students for careers in business, industry, and government as well as for advanced degree programs in statistics and quantitative fields. The applied statistics major allows students to focus on their passions including genetics, healthcare, pharmaceuticals, public transportation, automotive areas, communication systems, financial markets, utilities, public policy, public health, government, manufacturing, quality control and others.
The Department of Mathematics and Statistics offers a B.A. / B.S. degree in Applied Statistics and a minor in Applied Statistics.
For guidance on course selection, talk with the Statistics Undergraduate Advisor.
Applied Statistics Major
- Click here for 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.
Certificate in Mathematics for Finance
The Mathematics for Finance Certificate provides students, with a strong mathematical background, the opportunity to gain the skills and knowledge to apply mathematics in solving problems arising in economics, finance and risk management.
Goal 1: Understand the fundamentals of probability theory.
Goal 2: Understand statistical and inferential reasoning.
Goal 3: Become proficient at statistical computing.
Goal 4: Understand the fundamentals of statistical modeling and understand its limitations.
Goal 5: Become skilled in the description, interpretation and exploratory analysis of data by graphical and other means.
Goal 6: Learn how to effectively communicate statistics.
Descriptions of All Statistics Courses