Graduate Certificate in Applied Statistics
Program Description
This certificate program will provide students a foundation in applied statistics and experience utilizing statistical methodologies in real-world settings. The coursework emphasizes modern statistical applications, but also provides a background in classical statistical methodology. Students will gain exposure to concepts of basic applied statistics, experimental design, statistical programming in the R and SAS packages, and data mining procedures.
This program is appropriate for those trained in fields such as business, engineering, as well as the natural and behavioral sciences. The program emphasizes applications of statistics to various fields and requires an introductory-level statistics background. Though the program does not require rigorous training in advanced mathematics, completion of calculus I is required. We have applied for financial aid to the US Department of Education in order to support students enrolled in this certificate program.
Admittance Criteria
Admission to the program requires admission to the graduate school and a minimum of a 3.00 GPA. Prerequisites to admission include STAT 2480 or equivalent with a minimum grade of "B" and MATH 1411 or MATH 2301 or equivalent with a minimum grade of "B".
Courses
This certificate program requires completion of 5 courses for a total of 16 credits. This includes 3 required courses, including STAT 5428 (Introduction to Statistical Analysis), STAT 5329 (Statistical Programming), STAT 5335 (Applied Experimental Design) and 2 elective courses, to be selected from STAT 5474 (Introduction to Data Mining), STAT 5336 (Categorical Data Analysis), and STAT 5370 (Special Topics).
Required Courses
- STAT 5428 - Introduction to Statistical Analysis
- STAT 5329 - Statistical Programming
- STAT 5335 - Applied Experimental Design
Elective Courses
- STAT 5474 - Introduction to Data Mining
- STAT 5336 - Categorical Data Analysis
- STAT 5370 - Special Topics
Contact Us
For more information, please contact the program director:
Dr. Abhijit Mandal
Bell Hall 313
E-mail: amandal@utep.edu