Samples Schedules-M.S. in Computational Biology - Carnegie Mellon University

Sample Schedules

View the Schedule of Classes for descriptions of all non-biological sciences courses.

Background & Track

Biology: Non-research

Computer Science or Other Mainly Computational Field: Non-research

Biology: Mixed Research and Lecture

Computer Science or Other Mainly Computational Field: Mixed Research and Lecture

Year One: Fall

03-726 Evolution of Regulatory Genomics

03-727 Phylogenetics

15-121 Introduction to Data Structures; if no programming, then 15-110, Principles of Computing

21-127 Concepts of Mathematics

21-241 Matrices and Linear Transformations or 21-260 Differential Equations

03-231 Biochemistry or 03-363 Systems Neuroscience; if no biology, then 36-709 Applied Cell and Molecular Biology

03-727 Phylogenetics

36-225 Introduction to Probability Theory or 36-705 Intermediate Statistics

15-210 Parallel and Sequential Data Structures and Algorithms

03-726 Evolution of Regulatory Genomics

03-727 Phylogenetics

15-121 Introduction to Data Structures; if no programming, then 15-110, Principles of Computing

21-127 Concepts of Mathematics

21-241 Matrices and Linear Transformations or 21-260 Differential Equations

03-231 Biochemistry

03-363 Systems Neuroscience; if no biology, then 36-709 Applied Cell and Molecular Biology

36-225 Introduction to Probability Theory or 36-705 Intermediate Statistics

15-210 Parallel and Sequential Data Structures and Algorithms

Year One: Spring

15-122 Principles of Imperative Computation

15-150 Principles of Functional Programming

36-747 Statistics for Lab Science

03-730 Advanced Genetics

03-240 Cell Biology or 03-232 Biochemistry if not taken in the fall

03-250 Introduction to Computational Biology

36-747 Statistics for Lab Science

10-601 or 10-701 Machine Learning

15-122 Principles of Imperative Computation

15-150 Principles of Functional Programming

36-747 Statistics for Lab Science

03-700 M.S. Research

03-240 Cell Biology or 03-232 Biochemistry if not taken in the fall

03-250 Introduction to Computational Biology

10-601 or 10-701 Machine Learning

03-700 M.S. Research

Year One: Summer

03-601 Computational Biology Internship 03-601 Computational Biology Internship

Year Two: Fall

03-711 Computational Molecular Biology and Genomics (CORE)

03-712 Computational Methods for Biological Modeling and Simulation (CORE)

15-210 Parallel and Sequential Data Structures and Algorithms

03-363/763 Systems Neuroscience or 03-871 Structural Biophysics

03-711 Computational Molecular Biology and Genomics (CORE)

03-712 Computational Methods for Biological Modeling and Simulation (CORE)

03-330 Genetics

03-727 Phylogenics

03-711 Computational Molecular Biology and Genomics (CORE)

03-712 Computational Methods for Biological Modeling and Simulation (CORE)

03-700 M.S. Research

03-763 Advanced Systems Neuroscience

03-711 Computational Molecular Biology and Genomics (CORE)

03-712 Computational Methods for Biological Modeling and Simulation (CORE)

03-330 Genetics

03-700 M.S. Research

Year Two: Spring

03-250 Introduction to Computational Biology or 03-730 Advanced Genetics

02-710 Computational Genomics or 02-730 Cell and Systems Modeling

10-601 or 10-701 Machine Learning

03-730 Advanced Genetics

02-710 Computational Genomics

02-730 Cell and Systems Modeling

02-710 Computational Genomics

03-730 Advanced Genetics

03-700 M.S. Research

15-210 Parallel and Sequential Data Structures and Algorithms

02-710 Computational Genomics

02-730 Cell and Systems Modeling

03-700 M.S. Research