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Advising Handbook

Computational Medicine Program

The Computational Medicine Program offers current University of Rochester undergraduate and master’s students preferred admission to Thomas Jefferson University’s Sidney Kimmel Medical College (SKMC).

Students admitted into this early assurance program will get a chance to work with SKMC faculty during the summer of their junior year. So long as all requirements are met, the Medical College Admission Test (MCAT) requirements will be waived for students in the program.

Entry to the Computational Medicine Program is very competitive, with only five to ten Rochester students chosen each year. Students should apply to this program during the second semester of their sophomore year and successful applicants will be notified prior to the start of their junior year.

The requirements listed below will be adapted for electrical engineering undergraduate students and master’s students interested in the program. Please contact Jonathan Bratt at jonathan.bratt@rochester.edu before you apply.

Want to learn more about computational medicine at SKMC? Check out their Precision Medicine e-book

Tuition and Fees

SKMC Scholars will not be charged for mentored summer experiences or for required pre-matriculation educational modules.

Applying

In order to apply, students must be second semester sophomores. Masters students will be considered on a case-by-case basis.

Students interested in applying this year must schedule an appointment with Jonathan Bratt, career advisor in the healthcare community in the Greene Center for Career Education, by sending an email to jonathan.bratt@rochester.edu

After meeting with Mr. Bratt, students will receive instructions on how to obtain the application form. In addition to submitting an application, students will need to submit an official transcript and three letters of recommendation to Mr. Bratt. At least two of these recommendations must be from STEM faculty with whom students have worked closely.

The deadline for this year's application is January 15, 2020.

All applications will be evaluated first by members of the SKMC faculty with expertise in computational sciences and engineering, then by the SKMC Committee on Admissions. Applications are evaluated based on academic performance, career goals, civic engagement outside the classroom, and communication skills.

Finalists will be invited to the SKMC campus for an interview with members of the Admissions Committee and other faculty. Invited applicants will be required to travel to SKMC for this interview, which will be held on March 6, 2020.

If accepted into the program, students will be expected to complete the American Medical College Application Service (AMCAS) application prior to matriculation at SKMC. Admitted students also have the option to defer matriculation to SKMC for up to one year. 

Eligibility

Applicants should be full-time students either enrolled or interested in a degree program (data sciences, computer science, electrical engineering, or a related field) that will provide them with the core data sciences-related skill set.

Students must also have a minimum composite SAT score (Critical Reading and Mathematics) of 1350, with no score in either section lower than 650. Alternatively, students may submit ACT scores and must have achieved at least a 30. Otherwise outstanding applicants who fall just short of these requirements but who are enthusiastically endorsed by the University of Rochester faculty may be considered for acceptance.

Students must maintain good standing while at the University of Rochester, with no academic or non-academic disciplinary violations. Students with minor and/or first time infractions may still be accepted if enthusiastically endorsed by ASE faculty and with justification from College program administrators.

Students cannot have any withdrawn or repeated courses on their transcript (in certain cases, students who have done so but who still meet admission requirements and are enthusiastically endorsed by the University of Rochester faculty may be considered for acceptance).

Before applying: Students need to have completed at least three of the required core natural science and statistics courses, with a minimum of one term carrying two or more of these courses. The remaining courses must be completed prior to matriculation to SKMC:

  • *CHM 131: Chemistry Concepts, Systems and Practices I with Lab
  • *CHM 132: Chemistry Concepts, Systems and Practices II with Lab
  • *CHM 203: Organic Chemistry I with Lab
  • Plus one of the following:
    • BIO 110: Principles of Biology I with Lab
    • BIO 112: Perspectives in Biology I with Lab
  • Plus one of the following:
    • STT 211: Applied Statistics for Social Sciences I
    • STT 212: Applied Statistics I
    • STT 213: Elements of Probability and Mathematical Statistics
    • STT 214: Biostatistics

*Students with advanced high school standing may substitute the three required chemistry courses with CHM 171 and 172. 

Students also must have completed at least three of the seven required computational science courses. There are two tracks to meet these required courses for the program (CSC track and ECE track). At least three of the following seven courses in one of the tracks must be complete prior to application, with the remaining four of that track to be completed during applicants' junior year, prior to undertaking their mentored summer experience:

CSC Track

  • MTH 161: Calculus IA
  • MTH 150: Discrete Mathematics
  • CSC 171: Introduction to Computer Science 
  • CSC 172: Data Structures and Algorithms
  • CSC 175: Creative Computing 
  • CSC 240: Data Mining
  • CSC 261: Database Systems

ECE Track

  • MTH 161: Calculus IA
  • MTH 150: Discrete Mathematics
  • ECE 114: Intro to C/C++ Programming
  • CSC 172: Data Structures and Algorithms
  • ECE 280: Uncertainties and Scientific Puzzles
  • ECE 246: Digital Signal Processing 
  • ECE 247: Digital Image Processing or CSC 261: Database Systems 

Additional Requirements

Once they have been notified of their admission into the program, accepted students will be expected to complete a set of curricular requirements at Rochester that correspond to SKMC entry competencies. These will include basic biology, basic chemistry, and statistics courses.

It is important to note that acceptance into this program is provisional upon a number of things, including:

  • Successful completion of required coursework, including the remaining required natural science and statistics courses and math and computer science courses described above
  • Successfully completing a series of online computer modules reviewing foundational scientific concepts
  • Satisfaction of all program requirements
  • Obtaining a degree from the University of Rochester