For the Biomathematics track, a student must satisfactorily complete with a grade of C or better each of the following courses. Changes from the standard program must be approved by the department. 

Learning Goals

  • Undergo rigorous training for a career as a computational biologist or systems biologist.  
  • Acquire quantitative skills to extract insights, formulate hypotheses, and draw conclusions from data in context. 
  • Achieve understanding of mathematical and computational tools for the modeling of biological systems.
  • Gain an appreciation for the use of mathematical and computational tools in the biomedical sciences. 

Foundational Courses (29 credits) 

  • 50:640:121, 122, 123 Calculus I, II, and III (12 credits)
  • 50:640:250 Linear Algebra OR 50:640:253 Linear Algebra with Applications (3 credits)
  • 640:120:101 General Biology AND 50:120:107 Lab (4 credits)
  • 640:120:102 General Biology II AND 50:120:108 Lab (4 credits)
  • 50:198:111 Programming Fundamentals (4 credits)
  • 50:640:199 Exploring Careers in Mathematics (1 credit) 
  • 50:120:199 Exploring Careers in Biology (1 credit) 

Mid-level Required Courses (6 credits)

  • 50:640:314 Elementary Differential Equations (3 credits)
  • 50:640:331 Probability and Stochastic Processes (3 credits) 

Mid-level Elective Courses (9 credits – choose 3 courses from the list below)

  • 50:198:357 Introduction to Computational Mathematics (3 credits)
  • 50:960:336 Applied Statistics (3 credits)
  • 50:120:307 Genetics (3 credits)
  • 50:120:334 Cell Biology (3 credits)
  • 50:198:213 Data Structure (3 credits)

Upper-level Elective Courses (12 credits – choose 4 courses from the list below)

  • 50:640:427 Advanced Differential Equations
  • 50:640:450 Advanced Linear Algebra (3 credits) 
  • 50:640:463 Applied Partial Differential Equations (3 credits)
  • 50:640:497 Advanced Computational Math (3 credits) 
  • 50:640:499 Data Visualization (3 credits)
  • 50:640:466 Mathematical Methods in Systems Biology (3 credits)
  • 50:960:481 Mathematical Statistics (3 credits) 

Total: 56 credits