The certificate will augment students鈥� learning while pursuing a M补蝉迟别谤鈥檚 or Ph.D. in a specific domain.听 Students in the certificate will develop deep technical skills in big data, statistical analysis, and data science; transferable professional skills in communication, collaboration, teamwork, reproducible research, and project management; broad experience collaborating with a wide variety of STEM and non-STEM domain experts in academia, industry, and government; and deep experience applying statistical thinking and data science to answer research questions in the students鈥� chosen disciplinary domain.

The Certificate will require 6 graduate level courses of 17 credits:

鈥�Two-semester sequence in Statistical Modeling and Data Science to provide foundations in statistical analysis and data science. STAT 5000 鈥�Statistical Methods and Applications I鈥� (required, offered in Fall and Spring semesters) and STAT 5010 鈥�Statistical Methods and Applications II鈥� emphasizing听Data Science (required, offered in Spring semesters)

鈥�Two-semester sequence in Interdisciplinary Collaboration听to train students to move between theory and practice to apply statistics and data science to solve problems in a variety of fields. STAT 5680 鈥�Statistical Collaboration鈥澨�(required, offered in Fall semesters) and STAT 5690听鈥淎dvanced Collaboration鈥� (2 credits, required, offered in Spring Semesters)

鈥�Two courses in the student鈥檚 STEM domain applying statistics and data science (6 credits).

If the student is in Applied Mathematics听or Mathematics, a two-course out-of-department sequence in a specific domain is required. These courses can be applied to the Certificate through a petition process if the course sequence has not already received prior approval. The list of approved sequences will build one-by-one as students successfully petition for sequences to be approved. Dozens of possible sequences would satisfy this requirement.

Students who have earned a B or better in STAT 5000, are currently enrolled in STAT 5010 (or who have earned a B or better in STAT 5010), and are currently enrolled in a research-based M补蝉迟别谤鈥檚 or PhD program at CU Boulder will be eligible to be admitted to the Certificate. Students must also earn a B or higher in STAT 5680, and 5690 and a C or higher in their domain elective courses. The cumulative GPA must be 3.0 or higher. Non-degree students are not eligible for this Certificate. Professional M补蝉迟别谤鈥檚 students are not eligible for this Certificate.

To indicate your interest in this certificate, please fill out this .

Please contact Eric Vance or Brian Zaharatos with questions.