M.S. in Computational Biology Curriculum for Fall 2017 (and beyond)-M.S. in Computational Biology - Carnegie Mellon University

M.S. in Computational Biology Curriculum for Fall 2017 (and beyond)

Curriculum at a Glance

  • Foundation Courses (38 units)
    Programming for Scientists*
    Algorithms and Advanced Data Structures*
    Applied Cell and Molecular Biology*
    Professional Issues in Computational Biology
    * one or more of these courses may be waived if student can prove proficiency
  • Background Courses (at least 18 units)
    Math and Statistics
  • Breadth Courses (36 units)
    Genomics, Biological Modeling, Automation of Biology
  • Depth Courses (48 units)
    48 units of relevant courses

Graduation Requirements

  • You must have a B average (GPA = 3.00) over all courses counted for graduation
  • This includes the Foundation, Background, Breadth, and Depth courses
  • These courses must total at least 140 units
  • 02-602 (Professional Issues in Computational Biology) can count toward the 140 units, but not be factored in for GPA calculation
  • Courses counted for undergraduate degree certification cannot count for M.S. degree

Curriculum Description

The typical semester-long course at CMU consists of 9-12 units. Full-time student status requires enrollment at least 36 units of coursework per semester. The minimum number of units required for the MSCB degree certification for students starting in fall 2017 is 140. These courses are primarily in the Computational Biology Department (course codes beginning with 02-) and the Biological Sciences Department (course codes beginning with 03-) and are divided over the following categories:

Foundation courses (36 units) are taken in your first semester at CMU and provide you with fundamental skills in computation, molecular biology to help you succeed as a computational biologist. They are the following.

  • 02-601: Programming for Scientists
  • 02-613: Algorithms and Advanced Data Structures
  • 03-709: Applied Cell and Molecular Biology

We acknowledge that, depending on your previous studies, you may be able to place out of one of these courses. To help you take the most appropriate courses, we hold short placement exams during the week of MSCB orientation before the first week of classes in August. If you place out of a foundation course, you simply take 12 additional units of depth courses (see below).

Our two-semester Professional Issues in Computational Biology seminar (02-602; 2 units) is distinct among many master’s programs in that we provide dedicated training in a relaxed environment with your peers to help you navigate the difficulties of obtaining internships and employment, from how to write a resume and cover letter to how to give an effective short presentation and what to expect from job interviews. Industry, academic, and alumni panels help you improve your networking skills, and invited speakers give you immediate connections to potential employers.

Background courses (18+ units) are taken in your first year of study and ensure that you have a chance to strengthen your background in mathematics, statistics, and/or biology depending on your existing expertise.

Breadth courses (36 units) give you a “broad” understanding of the key approaches used in computational biology. They consist of three 12-unit courses:

  • 02-710 or 03-711: Genomics
  • 03-712: Computational Methods for Biological Modeling and Simulation
  • 02-750: Automation of Biological Research: Robotics and Machine Learning

Depth courses (48 units) give you the opportunity to dig “deeper” within a particular field of interest. 24 units must be taken from the Biological Sciences Department; 24 additional units must be taken from either the Computational Biology Department or a pre-approved list of related SCS courses.

The official document describing your experience in the MSCB program is the MSCB handbook (please note that this will be updated before your arrival to include the updated curriculum among other potential changes).

The general Carnegie Mellon policies for graduate students can be found at http://www.cmu.edu/graduate/policies/index.html.