Portfolio in Applied Statistical Modeling

Offering a cohesive course of study for graduate students seeking to enhance the statistical modeling component of their research

Important Update: Please note that the Fall 2022 offering of SDS 380C Statistical Methods I is the final instance of the course that will be accepted for use towards the Portfolio in Applied Statistical Modeling. The program will offer its final prerequisite exam on Tuesday, January 10th at 10am-11:30am

Program Overview

Program Type

Graduate Portfolio

Credit Hours

12

Primary Goals 

  1. Offer a cohesive course of study for graduate students seeking to enhance the statistical modeling component of their research and to prepare for successful careers upon graduation.
  2. Provide a forum for graduate students from across UT to work together and exchange ideas regarding the application of statistical modeling methods to a broad range of areas.
  3. Leverage the existing expertise of faculty members in departments across UT whose research focuses on statistics at foundational and applied levels.

Highlights

Students must complete 12 semester hours of courses as follows in Course Requirements, including a research project, as specified in the coursework guidelines. The Statistics and Data Sciences Department can help each student choose an appropriate course sequence. Depending upon the student's degree program, courses taken towards the portfolio may or may not count towards their degree.

All coursework used toward the portfolio program must be taken for a letter grade (B or better with 3.5 GPA for combined portfolio coursework).

Your official UT transcript will state that you completed the Graduate Portfolio Program in Applied Statistical Modeling.