Content of the Examination
In this examination, students demonstrate their ability to recognize and attack research
problems of fundamental importance, to propose appropriate theoretical, experimental or
computational approaches to address these problems, and to display comprehensive
knowledge of their disciplinary area and related subjects.
Part I of the Examination
The first part of the qualifying exam is organized around the presentation of a research
proposal for a project that would last 6-12 months and should not cover the student’s entire
thesis. Written proposals should be 3-4 pages in length, outlining the general goals of the
project, their significance and the methods used to approach them; and submitted to the
committee three weeks before the exam. The exam itself consists of an oral presentation which
is typically (but not necessarily) presented in Powerpoint. Slides should be easily readable (22-
24 point minimum font suggested) and references properly cited. Most students present
approximately 15-20 slides, plus a few backup slides.
Q&A: The student’s presentation will be interrupted with in-depth questions probing the
student’s grasp of the basic challenges and principles underlying the project, the details of their
methods and competing approaches, the statistical methods employed, and the significance of
the project within a wider context. Involved questions are often answered at the chalkboard or
whiteboard. The Q&A is time intensive. Part I typically takes approximately 2 hours. The most
common failure mode is to inadequately answer the questions of the committee.
Sample Structure of the Qualifying Exam Research Proposal Part I
While students may choose to depart from this sample structure, below is a typical Part I talk
structure. The organization listed below is suggested and should not be taken as a rule.
STUDENTS SHOULD DISCUSS THE EXACT REQUIREMENTS/EXPECTATIONS WITH THEIR
COMMITTEE, ESPECIALLY THEIR CHAIR, PRIOR TO THE EXAM.
1. Motivation for Project: What broad clinical, engineering, or biological problem do you
plan on tackling and why is it important? Include information on your clinical,
engineering or scientific collaborator(s) and how they will mentor you.
Example: Type II diabetes has high morbidity, mortality and health cost burden.
2. Open Challenge or Scientific Question to be Addressed. Define the challenge your
project will address and explain why solving it would be enabling in a clinical,
engineering, or scientific sense.
Example 1: The prevention of fouling of in vivo glucose sensors would allow for closed-
loop control of a diabetic patient’s glucose levels, alleviating the disease’s trauma.
Example 2: Control of stem cell differentiation into insulin-secreting cells would make
possible autologous pancreatic transplant therapies.
3. Engineering Specifications and/or Scientific Study Design Constraints. Here, you should
provide quantitative specifications for devices, chemistry, algorithm or simulation. For
scientific studies, specify the size required for a statistically reliable study.