Data Science Post-Baccalaureate Certificate
The program of study for the post-baccalaureate certificate (PBC) in data science requires 12 hours of graduate credit, at least six hours of which must be at the 500-level. Students must maintain an overall GPA of 3.0 for all courses taken in the program.
Admitted students can begin the certificate program in either the summer or fall semesters.
Curriculum
Students pursuing the PBC in data science must complete the following sequence of courses:
- STAT 560 - Foundations of Data Science
- STAT 561 - Predictive Modeling and Visualization
- STAT 562 - Machine Learning and Classification Methods OR STAT 489 - Applied Statistical Learning and Data Mining
- CMIS 563 - Oracle SQL for Business Analytics
Admission
- Graduate School application and $40 fee
- Submission of all post-secondary academic transcripts
- Successful completion of a bachelor's degree prior to enrollment
- Undergraduate background that includes a statistics course equivalent to STAT 244 with a grade of C (2.0) or better (on a 4.0 scale) at an accredited college or university
- GPA of at least 2.7 (A=4.0)
- International Applicants: Proof of English Proficiency, minimum requirements are TOEFL (79), ITLTS (6.5) or equivalent
*International students cannot receive a visa to pursue this online certificate, and are only eligible to apply to this program if concurrently completing a face-to-face graduate program. - A brief statement of educational and career goals and interests, together with any supporting documents
- Resume: Please include any special qualifications or relevant professional experience
Exit Requirements
Students must successfully complete the program of study with a minimum GPA of 3.0. Review the graduation policy for more information.
Enrollment in this program does not qualify for federal financial aid.