Department of Psychology
Department of Psychology

Experiential Learning in Psychology

Our undergraduate program features many opportunities for hands-on, applied, project-based, real-world problem-solving, and active learning. 

Power of Shared Experience In Learning Environments

caryn carlsonProf. Caryn Carlson

PSY 364P: Positive Psychology and The Good Life, Apply the empirical science of thriving through personal reflection, individual strengths-based assessments, and meaningful real-world observations.

david yeagerProf. David Yeager

PSY 365D: Behavioral Science of Equity and Inclusion, Collaborative project-based course applying the principles of experimental behavioral science to problems of creating an equitable and inclusive society in the 21st century.

Prof. James Curley

PSY 317L: Introduction to Statistics for Behavioral Sciences, Practice and apply their R programming skills to analyze real-world data across each weekly module.

Profs. Cormack, Etz, Josephs, Lewis-Peacock

PSY 420M: Psychological Methods and Statistics, Original team-based projects to investigate research questions, analyze data, and draw well-founded conclusions.

Prof. Alexandra Clark

PSY 332U: Diversity in Cognitive Aging, Students engage with cutting-edge science by attending and reflecting on national conference presentations in the cognitive aging field. Students will also explore community-based research in understanding cognitive and brain aging patterns in groups that have traditionally been marginalized.

Prof. Jacqueline Evans

PSY 341K: Health Psychology (Topic 4) and History of Modern Psychology (Topic 15), Through service learning projects, students volunteer alongside professionals in the field, understand the real challenges facing our communities, and deepen their empathy for those who are most vulnerable.

Psy 365E: Emotion, Exploring the science of emotion through reflective learning opportunities including a customized, docent-led visit to the Blanton Museum of Art. Students connect foundational course concepts to form a deeper understanding of the emotions of self and other, and consider the adaptive functions and sociocultural influences of emotion.

Prof. Chen Yu

Psy 371M: Intro to Machine Learning, Through project-based activities and assignments, students apply machine learning methods to analyze real-world human behavior data.

Unique Experiences In Psychology

Develop professional skills transferable to any career path in a collaborative, supportive environment by becoming an Undergraduate Teaching Assistant (uTA) and Undergraduate Research Assistant (PSY 357).

Collaborate as part of a teaching team to support other students' learning goals as an Undergraduate Teaching Assistant (uTA).

If you're looking for hands-on, research opportunities that spurs your thinking with original research questions, register for PSY 357.

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  • Department of Psychology

    The University of Texas at Austin
    SEA 4.208
    108 E. Dean Keeton Stop A8000
    Austin, TX 78712-1043