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.
For more detailed information, see the curriculum worksheet.
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.
Required Courses (38 credits)
- 50:640:121 Calculus I OR 50:640:123 Active Calculus I (4 credits)
- 50:640:122 Calculus II OR 50:640:124 Active Calculus II (4 credits)
- 50:640:221 Calculus III (4 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)
- 50:198:171 Mathematical Foundations of Computer Science (3 credits)
- 50:640:199 Exploring Careers in Mathematics (1 credit)
- 50:120:199 Exploring Careers in Biology (1 credit)
- 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)
- 50:198:213 Data Structures (3 credits)
- 50:960:336 Applied Statistics (3 credits)
- 50:198:357 Introduction to Computational Mathematics (3 credits)
- 50:120:334 Cell Biology (3 credits)
- 50:120:307 Genetics (3 credits)
400-level Elective Courses (12 credits)
- Any four Mathematics (640), Statistics (960), or Computer Science (198) courses at 400-level.
Total: 56 credits