Graduate Program Overview
The Social and Decision Sciences doctoral program emphasizes multi-disciplinary approaches to complex problems.
One hallmark of the program is that it is research-centered. The small size of the program makes it possible for students to work closely with its internationally distinguished faculty on diverse projects and to engage in research at the outset. A second hallmark of the program is its flexibility.
Although there are core requirements for all students, the program is designed to make it easy to combine interests in several academic areas.
SDS offers eight areas of focus for its Ph.D. program:
- Behavioral Decision Research
- Cognitive Decision Science
- Social and Decision Sciences
- Behavioral Marketing and Decision Research (joint with the Tepper School of Business)
- Behavioral Economics (joint with the Tepper School of Business)
- Psychology and Behavioral Decision Research (joint with the Department of Psychology)
- Medical Scientist Training Program MD-PhD (joint with the University of Pittsburgh School of Medicine)
- Autonomous and Human Decision Making (joint with the Machine Learning Department in the School of Computer Science)
Students may also create an individually tailored program.
Each of the doctoral fields of study
To reach precandidacy, students must:
- Complete a minimum of twelve Ph.D. level courses, including four courses in methodology;
- Attend the first two semesters of the Social and Decision Sciences Ph.D. seminar, which is not counted as part of the above twelve courses;
- Complete a research paper by May of the second year (maximum 27 months);
- Qualifying exams due by January of the third year, but more typically by
beginning of August of the second year (maximum 29 months); - Dissertation
proposal due bybeginning of August of the fourth year (maximum 48 months).
Students achieve candidacy for the Ph.D. upon completion of the above requirements. The remaining Ph.D. requirements include writing and defending a doctoral dissertation within a recommended five years after entry into the program.
If you have general questions about the SDS Graduate programs, our application page includes several "frequently asked questions." You may also send your questions via email, to the appropriate contact found on the right.
Ph.D. Alumni Profile
Sudeep Bhatia, Associate Professor of Psychology, University of Pennsylvania
What do you love about your current position?
My position allows me to do the following, with relatively few constraints: 1. Observe and analyze the nature of human experience, 2. Read (and occasionally write) long tedious papers, 3. Talk to exceptional thinkers, 4. Travel the world to present my research, 5. Program messy Python code while listening to pop music. I love all of these things!
How do you utilize your SDS training in your current position? In particular, how has the interdisciplinary nature of SDS doctoral training benefitted you in your current job?
SDS was pivotal for my intellectual development. The interdisciplinary environment exposed me to theories and methods from diverse disciplines (JDM, behavioral econ, cognitive science, and computer science), which have all shaped my current research program. The department also gave me a fair amount of freedom in terms of the topic of my research, while still providing me with a scholarly community to ground and guide me. Not many departments do that.
Please share a favorite moment of your time in SDS. It might be an anecdote, an event, a particular course or person who taught you a lot, or a project you started in graduate school.
I met my now wife at CMU. She was a Ph.D. student in a CBDR-affiliated department, and she taught me how to run online studies (back when it was something new). She also knew how to find free food on campus, lucrative TA jobs, and cheap flights for spring break.
What advice would you give to current Ph.D. students, or to students considering applying to the SDS Ph.D. program?
I spent my most intellectually energetic years at CMU. Now, fifteen years later, it is just not possible to work as hard as I did, learn as much as I did, and use my mind the way I did back when I was a grad student. So, I guess my advice to students is to enjoy the hard work and long hours because you don't have the same amount of energy and time when you are older. There is an athletic component to what we do, and you should find pleasure in your work in the same way that an athlete, in their prime, finds pleasure in the mastery of their sport.