RECOMMENDED UNDERGRADUATE COURSES
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 recommended courses/topics for you to consider. We expect students from different backgrounds and with different research interests to choose differently from these courses; we do not expect applicants to have taken all these courses.
- Life Sciences
- Cell Biology (e.g. ÃÛÌÒÊÓƵ 03-240 or Pitt BIOSC 1500)
- Molecular Biology (e.g. Pitt BIOSC 1940 or ÃÛÌÒÊÓƵ 03-742)
- Biochemistry (e.g. ÃÛÌÒÊÓƵ 03-231/03-232 or Pitt BIOSC 1000)
- Genetics (e.g. ÃÛÌÒÊÓƵ 03-330 or Pitt BIOSC 0350)
- Computer Science
- Intermediate Programming (e.g. ÃÛÌÒÊÓƵ 15-111)
- Fundamental Data Structures and Algorithms (e.g. ÃÛÌÒÊÓƵ 15-211 or Pitt CS 1501;at other universities this may be either one or two courses)
- Algorithms (e.g., ÃÛÌÒÊÓƵ 15-451 or Pitt CS 1501)
- Physical Sciences
- Physical Chemistry
- Physics
- Mathematics and Statistics
- Applied Mathematics (Probability & Statistics)
- Analysis (Calculus & Numerical)
- Algebra (Linear & Multilinear)
- Probability & Statistics
- Computational Biology
- Intro. to Computational Biology or Bioinformatics (e.g., ÃÛÌÒÊÓƵ 03-510 or Pitt BIOSC 1540)
Depending on an individual student’s background, remedial or additional courses at undergraduate level may be offered, which will be selected/tailored to the needs and research interests of each student in consultation with the student advising committee.