QBio Doctoral Minor

Technological innovations have revolutionized the scale and detail with which biological systems can be explored. With that revolution has come a demand for scientists who can develop and analyze quantitative and predictive models of biological systems. The QBio doctoral minor is designed to complement the depth of training in biological or quantitative sciences that a student achieves through UW-Madison’s graduate programs with the breadth that is needed to conduct research under this paradigm. In addition to coursework in biological, quantitative, and integrated courses, students in the program will take an inter-disciplinary research seminar to prepare them for research that crosses these boundaries. This training will prepare students for careers in academic and industrial settings, where the ability to cross disciplinary lines and work in teams with diverse expertise is critical.

Students who are candidates for the Ph.D. degree in any department or program may obtain an interdisciplinary minor in Quantitative Biology by earning a minimum of 10 credits from the courses listed below. The coursework is divided into one course from a quantitative science, one course from a biological science, one course from an integrated course, and a one-credit research seminar. Courses may be taken in any sequence, although it is strongly advised that the research seminar is taken during the first year of graduate school.

Consistent with the Graduate School’s GPA requirement, a GPA of 3.00 is required.

Students who have satisfied the requirements, complete this form and submit to Dr. Pam Kreeger for signature.

Questions can be directed to the minor’s faculty director, Dr. Pam Kreeger (kreeger@wisc.edu).

Quantitative courses:

  • Comp Sci 524 Introduction to Optimization
  • Math/Stat 431 Introduction to the theory of probability
  • Math 443 Applied linear algebra
  • Math/CompSci 513 Numerical linear algebra
  • Math/CompSci 514 Numerical analysis
  • Math 519 Ordinary differential equations
  • Math 531 Probability theory
  • BMI/Stat 541 Introduction to biostatistics
  • Stats, F&W Ecol, Hort 571 Statistical methods for bioscience I
  • Stats, F&W Ecol, Hort 572 Statistical methods for bioscience II
  • Math 605 Stochastic methods for biology
  • Math 608 Mathematical methods for continuum modeling in biology
  • Stat 609 Mathematical statistics 1
  • Stat 610 Introduction to statistical inference
  • Math 619 Analysis of partial differential equations
  • Math, ISyE, OTM, Stat 632 Introduction to stochastic processes
  • CBE 660 Intermediate problems in chemical engineering
  • Stat 709 Mathematical statistics
  • Stat 710 Mathematical statistics
  • Math, Comp Sci 714 Methods of computational mathematics I
  • Comp Sci 760 Machine learning

Biological courses:

  • Genetics 466 General genetics
  • Biochem 501 Introduction to biochemistry
  • Zoo 570 Cell biology
  • Biochem 601 Protein and enzyme structure and function
  • Microbio, Genetics 607 Advanced microbial genetics
  • Microbio, Biochem, Genetics 612 Prokaryotic molecular biology
  • Biochem, Genetics, MD Genetics 620 Eukaryotic molecular biology
  • Biochem, Botany 621 Plant biochemistry
  • Biochem 625 Coenzymes and cofactors in enzymology
  • Microbio 625 Advanced microbial physiology
  • Zoo, Biochem 630 Cellular signal transduction
  • Microbio, Botany, Genetics, MM&I, Pl Path 655 Biology and genetics of filamentous fungi
  • Biochem 660 Methods in biochemistry
  • Microbio, BMolChem 668 Microbiology at atomic resolution
  • Genetics 701 Advanced genetics
  • Biochem, Chem 704 Chemical biology
  • Microbio, Biochem 726 Regulation of gene expression in prokaryotes

Integrated courses:

  • BME 556 Systems biology: mammalian signaling networks
  • BMI, Comp Sci 576 Introduction to bioinformatics
  • Biochem, Math, BMolChem, BMI 606 Mathematical methods for structural biology
  • Biochem, Math, BMolChem, BMI 609 Math methods for systems biology
  • BMI, Comp Sci 776 Advanced bioinformatics
  • CBE, BME 782 Modeling biological systems
  • CBE, BME 783 Design of biological molecules
  • BMI, Stat 877 Statistical methods for molecular biology
  • Genetics 885 Advanced genomic and proteomic analysis 

Research Seminar (1 credit):

  • BME 780 Methods in Quantitative Biology

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