Statistics


Early Applications Encouraged

Applications are reviewed and interviews awarded on a rolling basis. Typically, the duration of the applicant review process is 2-3 weeks. A select number of individuals may be placed on a wait list for an interview slot as the MSTP committee assesses additional applications before making a final interview determination.

As the chart below documents, candidates whose application is not completed significantly before the October 15 MSTP application deadline limit their chances of being offered an interview. Individuals who apply at October 1st and 15th will compete for 20 available interview slots, as opposed to the 99 that we​re available to early applicants. These data are for the 2014 applicant pool, but is consistent with previous years.

  Interview Slots Available.jpg

 

MCAT Distribution

 
MCAT scores have predictive value in terms of performance in the preclinical curriculum and medical licensure exams.  Therefore, they are considered in the evaluation of MD-PhD candidates.  Individuals who score below 
28 are rarely interviewed. The chart below plots the distribution of MCAT scores for the 2014 applicant pool.

MCAT Distribution.jpg



GPA Distribution

Undergraduate GPA is predictive of success in the medical and graduate curriculum. Individuals who earn a GPA below 3.3 are rarely interviewed. The chart below plots the cumulative GPA for the 2014 applicant pool.

GPA Graph.jpg


Research Experience

The MSTP requires a minimum of two summers or semesters of research experience. Most competitive applicants will have two years of research at the time they submit their application.  The chart below plots the number of months 2013 candidates had at the time of application. (All would have had 8 to 12 additional months of research experience at the time of matriculation.)  While early research experiences may have been relatively simple and  limited in scope, competitive candidates will demonstrate their ability to independently develop and conduct hypothesis-driven research projects.  

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