Our two-year Master’s program in health services trains outstanding investigators in health services and policy research and prepares students for successful careers in academics, government, non-profit, and industry. See where some of our alumni are now.
We are based in the Perelman School of Medicine as a collaborative effort with the Wharton School and a joint venture of the Leonard Davis Institute (LDI) and the Robert Wood Johnson Clinical Scholars Program (RWJ CSP). In addition, we are closely affiliated with the Annenberg School for Communication, the School of Arts and Sciences, the School of Social Policy and Practice, and the School of Nursing. Click here to find out more about the curriculum.
Nandita Mitra, PhD, Associate Professor of Biostatistics, is instructor of HPR 608: Applied Regression Analysis for Health Policy Research and the inaugural recipient of the Master of Science in Health Policy Research (MSHP) Excellence in Teaching Award. Her primary research interests include statistical genetics, the design and analysis of observational studies (specifically propensity score and instrumental variables methods) and health services research. Click below to read student praises for Dr. Mitra's teaching on our program.
Dr. Gita Suneja is alumnus of the Masters of Science in Health Policy Research Program at the University of Pennsylvania. She is currently an Assistant Professor of Radiation Oncology at the University of Utah School of Medicine and an investigator at the Huntsman Cancer Institute. Her clinical specialties include the the treatment of central nervous system, skin, and gynecologic malignancies. Her research focuses primarily on access to cancer care and patient outcomes.
Kira Ryskina, MD is a 2nd-Year MSHP student who plans to pursue an academic career as clinician investigator, working to maximize healthcare efficiencies from both physician and patient perspectives, including identifying and reducing low value care, improving diagnostic efficiency, and developing innovative processes to maximize physician output as measured by population health.
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