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Joint CMU-Pitt Ph.D. Program in Computational Biology
Ivet Bahar and Robert F. Murphy, Directors
Admissions - Recommended Prerequisites
For students planning their undergraduate course schedules in anticipation of applying for the Ph.D. in Computational Biology, the courses listed below are examples of courses recommended in order to provide the preparation necessary to take the core courses. Students whose background does not include these courses may be admitted with the additional requirement to take compensating classes.
- Life Sciences
- Cell Biology (e.g. CMU 03-240 or Pitt BIOSC 1500)
- Biochemistry (e.g. CMU 03-231/03-232 or Pitt BIOSC 1000)
- Genetics (e.g. CMU 03-330 or Pitt BIOSC 0350)
- Biochemistry (e.g. CMU 03-231/03-232 or Pitt BIOSC 1000)
- Computer Science
- Intermediate/Advanced Programming (e.g. CMU 15-111)
- Fundamental Data Structures and Algorithms (e.g. CMU 15-211, at other universities this may be either one or two courses)
- Algorithms (e.g., CMU 15-451, Pitt CS 1501, or Pitt CS 1510)
- Fundamental Data Structures and Algorithms (e.g. CMU 15-211, at other universities this may be either one or two courses)
- Physical Sciences
- Statistical Thermodynamics or Physical Chemistry
- Mathematics and Statistics
- Vector Calculus (e.g. CMU 21-259)
- Linear Algebra (e.g. CMU 21-341)
- Probability & Statistics
- Linear Algebra (e.g. CMU 21-341)
- Computational Biology
- Computational Biology (e.g., CMU 03-510 or Pitt BIOSC 1540)
- Cell Biology (e.g. CMU 03-240 or Pitt BIOSC 1500)
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