Certificate Programs

Prospective Students

Statistics certificate

The Graduate Statistics Certificate is designed for graduate students across the University who desire to gain additional proficiency and knowledge in statistical methods to augment their disciplinary graduate studies. The certificate helps students burnish their quantitative credentials for the job market and gain necessary skills to complete their graduate thesis or dissertation work. All required courses focus on applied content, but students may substitute courses that most closely align with their needs.

Why choose our certificate?

This unique opportunity greatly enhances UD graduate students’ skill set without pursuing an additional, full degree. Students build quantitative and analytical skills in statistics and data science that not only helps during your graduate studies, but in your post-UD career. SAS, R and other statistical programming languages launch our students into a higher level of data analysis.

What makes the program unique?

The certificate builds upon your current disciplinary graduate studies. This value-added piece to your resume allows you to stand out to future employers. Our faculty ensure that these valuable statistical analysis skills apply directly to your chosen discipline of study. In addition, many courses are available online, adding flexibility to your schedule.

Required courses

Statistical Research Methods (STAT608)

This basic statistics course is designed to bring students up to speed if they haven’t had previous exposure to statistical concepts, providing a first exposure to statistical software.

Regression Analysis (STAT611)

This course teaches a range of regression techniques from simple linear regression to principal component analysis and ridge regression. Our faculty teach the basics of experimental design and design models. This material is critical to much statistical analysis of large and small datasets.

Design and Analysis of Experiments (STAT615)

Students learn the fundamental principles of experimental design, including randomized designs, sources of error, factorial designs, response surfaces and other related topics. Experimental design is a critical skill set when analysts purposefully design data collection.

The University of Delaware is an Equal Opportunity Institution and Provider. Visit UD’s Office of Equity & Inclusion to learn more.

College of Agriculture & Natural Resources