Example Coursework

Students may be able to waive some course requirements based on graduate coursework completed at other universities where they have been enrolled as a graduate student. Courses must be equivalent to Yale graduate courses, and the Graduate School usually sets a maximum limit of three courses that can waived. Keep in mind that not all courses are offered every semester/year.

Some course may be listed at both undergraduate and graduate level. You should register for the graduate level course (500 and above). If it is cross-listed between departments, then it is up to you to decide which one to register for based on your curriculum requirements. Courses for past, present and futures terms can be viewed in the Yale Course Search. Any courses that is added to the Primary Worksheet in that system will appear in Canvas and in SIS (Student Information System), which is where official registration is submitted for approval by the DGS.

CBB students have also participated in training programs such as Yale’s Integrated Graduate Program in Physical Engineering Biology (PEB) and BBS-run programs such as the Medical Research Scholars Program (MRSP) and the Yale Cancer Biology Training Program (CBTP). These programs include additional coursework that may or may not count towards CBB requirements.

Jump to: CBB, Biology, Informatics (Computer Science, Statistics), Ethics

Courses in Computational Biology and Bioinformatics

CBB students are required to take the following CBB core courses (found in bold below): CBB 752, CBB 740 or CBB 561, and CBB 750 or CBB 562 and the year-long sequence of lab rotations (711, 712, 713).

  • CBB 523b Biological Physics
  • CBB 555a Machine Learning for Biology
  • CBB 561a Modeling Biological Systems I
  • CBB 562b Modeling Biological Systems II
  • CBB 634a Computational Methods in Informatics
  • CBB 645b Statistical Methods in Computational Biology (not given in 2019-2020)
  • CBB 647b Statistical Methods in Human Genetics
  • CBB 663b Deep Learning Theory and Applications
  • CBB 740a Clinical and Translational Informatics
  • CBB 745b Advanced Topics in Machine Learning and Data Mining
  • CBB 750b Core Topics in Biomedical Informatics
  • CBB 752b Biomedical Data Science: Mining and Modeling
  • CBB 711 1st Lab Rotation
  • CBB 712 2nd Lab Rotation
  • CBB 713 3rd Lab Rotation

Courses in Biological Sciences

Courses are available in many biology-related departments, including Cell Biology (CBIO), Ecology and Evolutionary Biology (EEB), Engineering and Applied Science (ENAS), Genetics (GENE), Immunology (IBIO), Molecular Biophysics and Biochemistry (MBB), Molecular, Cellular, and Developmental Biology (MCDB), Pathology (PATH) and Physiology (PHYS).

Courses that CBB students have taken include the following:

  • CBIO 602a Molecular Cell Biology
  • EEB 525b Evolutionary Biology
  • ENAS 517b Methods and Logic in Interdisciplinary Research
  • ENAS 991a Integrated Workshop [for students in PEB]
  • GENE 625a Basic Concepts: Genetics Analysis
  • GENE 777b Mechanisms of Development
  • IBIO 530a Biology of Immune System
  • MBB 523b Biological Physics
  • MBB 600a Principles of Biochemistry I
  • MBB 602a Molecular Cell Biology
  • MBB 743b Advanced Eukaryotic Molecular Biology
  • MCDB 570b Biotechnology
  • PATH 650b Cellular and Molecular Biology of Cancer
  • PATH 690a Molecular Mechanisms of Disease
  • PHYS 523ab Biological Physics

Courses in Informatics

Computer Science Courses

Courses are available in Computer Science and other departments. Courses that CBB students have taken include the following:

  • CPSC 524b Parallel Programming Techniques
  • CPSC 537a Introduction to Database Systems
  • CPSC 545a Introduction to Data Mining (not given in 2019-2020)
  • CPSC 570a Artificial Intelligence (not given in 2019-2020)

Statistics Courses

Many CBB students have taken the following statistics courses:

  • S&DS 538a Probability and Statistics for Scientists
  • S&DS 645b Statistical Methods in Genetics and Bioinformatics
  • S&DS 660b Multivariate Statistical Methods

Other courses that students have taken include the following:

  • BIS 623a Applied Regression Analysis
  • S&DS 530b Introductory Data Analysis
  • S&DS 541a Probability Theory
  • S&DS 542b Theory of Statistics
  • S&DS 551b Stochastic Processes
  • S&DS 610a Statistical Inference
  • S&DS 612a Linear Models
  • S&DS 661b Data Analysis
  • S&DS 665b Data Mining and Machine Learning (not given in 2019-2020)

Research Ethics Courses

This half-semester course is required by the NSF and must be taken by first-years and by fourth-years. The first-year course is typically shared with several other BBS tracks and meets once a week for 10 sessions.

  • CBB 601b Responsible Conduct of Research