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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.
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
- 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.
Post-baccalaureate students may apply for scholarships, grants and loans, but are not eligible for Federal Title IV financial aid.
