Computational Psychology (MS)

Advances in statistical and machine learning, coupled with greater availability of human-related data, have provided unprecedented opportunities to study and model human behavior and cognition in ways that were not previously imaginable. The Master of Science in Computational Psychology provides the training in modern statistical methodology, state-of-the-art machine learning algorithms and psychology needed to work on the cutting edge of human-related big data.

The program is 36 units in length and will typically require four semesters to complete. In addition to the required courses, students must complete a semester of lab rotation and participate in the Psychology and/or Quantitative Methods and Computational Psychology colloquium for two semesters.