The program is delivered online to provide access to working professionals and students located around the world. This graduate certificate is a credential that demonstrates the recipient has expertise in data analysis for decision making.
Course instruction focuses on the theoretical and applied study of fundamental statistical and machine learning models (including time series models) and their application to real-world problems and high-stakes decision making. Emphasis is on the study of machine learning and artificial intelligence, as well as communication and storytelling to clients, technical audiences, and the C-suite.
All courses can be applied toward the Master of Science in data science (M.S.D.S.) degree. The website www.datascience.smu.edu has additional information.
Admission Requirements
Applicants to the graduate certificate in decision analytics must hold a bachelor’s degree in statistics, applied mathematics, computer science, engineering or other quantitative discipline. An application fee is required. Additional requirements are as follows:
- A basic understanding of a programming language (R, JAVA, C++, Python or similar programming language).
- Calculus I and II. Business calculus does not meet this requirement.
- If required, TOEFL English language proficiency test scores should satisfy the requirements specified by the Moody School of Graduate and Advanced Studies; see the Language Requirement section of the Moody School catalog.
The graduate certificate in decision analytics follows the M.S.D.S. Academic Calendar, which can be found at https://s3.smu.edu/des/registrar/pdf/calendars/RSGS%202025-26_21125.pdf.