Portfolio in Applied Statistical Modeling
Located in the Department of Statistics and Data Sciences (SDS), the primary goals of this Portfolio program are to:
- 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;
- 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; and
- Leverage the existing expertise of faculty members in departments across UT whose research focuses on statistics at foundational and applied levels.
Students must complete 12 semester hours of courses as follows in the Course Requirements. Students are expected to obtain the consent of a Portfolio Adviser (selected from the list of faculty members affiliated with SDS) soon after entering the program to advise their course selections and guide their independent study.
For more information, please see the Department of Statistics and Data Sciences' Portfolio in Applied Statistical Modeling webpage.
Neuroimaging Track in Psychology
Multiple complex methodologies in brain imaging have supported the cognitive neuroscience approach to the study of mental phenomenon. One of these methods involves the use of Magnetic Resonance Imaging (MRI), which has become prevalent in psychology research today.
To respond to this development, the Psychology Department at The University of Texas has created a graduate training track in neuroimaging. Supported by world-recognized faculty in the field, the courses offered through this track are intended to provide students with the knowledge and skills necessary to conduct human neuroimaging research in their own areas of interest.
The tract aims to provide:
1. Strong training in neuroimaging, including the physical aspects of MRI and other psychophysiological methods, design and implementation of methodologically solid experiments, and how to analyze and present the data;
2. Strong systems neuroscience training, including comprehensive training in functional neuroanatomy and neurophysiology, as well as how cognitive neuroscience methods are applied effectively to psychological research.
To foster development of expertise in these two areas, the Neuroimaging Track includes the following groups of courses offered through the Psychology Department.
Psychology Department requirements: same as for all other graduate students.
Functional Neuroscience Requirements
Take the following 2 core courses:
- PSY 383T. Principles of Neuroscience II. Systems/Behavioral Neuroscience, Yvon Delville
- PSY 383C. Functional Neuroanatomy, Francisco Gonzalez-Lima
These courses can be taken as part of fulfilling the core requirement in Area A (Behavioral and Sensory Neuroscience).
Neuroimaging Methodological Requirements
Take any 2 of the following methodology courses:
- PSY 394P. Foundations of Neuroimaging
- PSY 394U/ SSC 385. Methods for fMRI: From design to data analysis, Jeanette Mumford
- PSY 394U. Introduction to Psychophysiology, David Schnyer (Approved as a core requirement for Area B)
- PSY 394U. Advanced Topics in Neuroimaging, Russ Poldrack