Program Overview
The Applied Statistics Graduate Certificate program equips students with the skills to analyze data and make informed decisions. Through coursework in statistical theory and methods, graduates gain proficiency in applying statistical techniques to their fields, enabling them to pursue rewarding careers in research and data-driven industries. The program requires 15 credit hours of coursework, including core courses in SAS programming, linear regression, categorical data analysis, multivariate statistics, and experimental design or data mining.
Program Outline
Degree Overview:
The Applied Statistics Graduate Certificate program aims to equip students with the ability to "ask the data" the right questions and find the answers. The program focuses on statistical theory and its application, enabling students to make an immediate impact in their respective fields and pursue more rewarding careers. Upon completion, graduates will be prepared to apply various statistical methods in their daily work. They will possess a foundational understanding of statistical theory and practice, proficiency in applying common statistical methods to their area of expertise, and the following abilities:
- Demonstrate a basic knowledge and understanding of statistical theory and practice relevant to their field.
- Collaborate effectively on a research team.
- Critically evaluate statistical applications in literature.
- Take a leadership role in the implementation of research projects.
- Prepare reports and publications stemming from research studies.
- Advocate for proper statistical design and interpretation of results in their field.
Outline:
Program Structure and Content:
- The program requires a minimum of 15 post-Bachelor's degree credit hours with a minimum GPA of 3.0.
- Graduate credit from other institutions cannot be transferred to the program.
- Course descriptions and requirements are subject to change.
Course Schedule:
- Year 1:
- Fall: 6 credit hours
- Spring: 6 credit hours
- Summer: 3 credit hours
Individual Modules:
- Required Courses: 15 credit hours
- STAT 820: SAS Programming I or
- STAT 823: Introduction to Programming and Applied Statistics in R: 3 credit hours
- STAT 840: Linear Regression: 3 credit hours
- STAT 835: Categorical Data Analysis: 3 credit hours
- STAT 850: Multivariate Statistics: 3 credit hours
Careers:
- Potential Career Paths: The program prepares students for entry into the practice of biostatistics research.
- Outcomes: Students will be able to function in a broad range of academic and research settings.
Other:
- The Graduate Certificates in Biostatistics, Biostatistical Applications, Applied Statistics, Applied Data Science, and Health Data Science are designed to prepare individuals for biostatistics research.
- Technical Standards: Students must demonstrate specific abilities and meet certain expectations to complete the program successfully, including:
- Observation: Students must be able to observe and evaluate class demonstrations and field experiences related to statistics.
- Communication: Students must be able to communicate effectively in English through oral, written, and electronic means.
- Motor: Students need sufficient motor function to attend classes, prepare assignments, and use electronic media.
- Intellectual, conceptual, integrative and quantitative abilities: Students must possess the capacity to understand and analyze data, engage in reasoning and critical thinking, and effectively solve problems.
- Behavioral and social attributes: Students must possess emotional health, demonstrate sound judgment, act ethically, and maintain professional relationships.
- Reasonable Accommodations: Reasonable accommodations will be considered for qualified students with disabilities. Students should contact the University’s Office for Academic Accommodations for requests.
