Apr 11, 2025

2024 - 2025 Undergraduate Catalog

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2024 - 2025 Undergraduate Catalog

Computational and Applied Mathematics and Statistics-Mathematical Biology, Minor

The CAMS Mathematical Biology minor helps students develop skills for the modeling and analysis of biological processes. Students use their training in mathematics, statistics, and computer science to study problems in biology. Applications range across all scales of biology, from cells to ecosystems.

Click here for minor declaration form.

Required Credit Hours: 18

Core Requirements (12 or more credits):

The minor requires 6 or more additional credits in pre-requisites:

or

,

or

, and possibly BIOL 203 and

Mathematical Modeling (2 Courses)

At most, one course from:
BIOL 325 - Introduction to Quantitative Biology Credits: (3) or
MATH 345 - Introduction to Mathematical Biology Credits: (3)
with the remaining 1-2 courses chosen from:
APSC 351 - Cellular Biophysics and Modeling Credits: (3) or
BIOL 351 - Cellular Biophysics and Modeling Credits: (3)
BIOL 356 - Random Walks in Biology Credits: (3) /MATH 356 - Random Walks in Biology Credits: (3)

Programming (1 course)

CSCI 141 - Introduction to Programming Credits: (4)
PHYS 256 - Practical Computing for Scientists Credits: (3)

Statistics and Data Analysis (1 course)

BIOL 327 - Introduction to Biostatistics Credits: (3-4)
MATH 106 - Elementary Probability and Statistics Credits: (3)
MATH 351 - Probability and Statistics for Scientists Credits: (3)
MATH 352 - Statistical Data Analysis Credits: (3)
PSYC 301 - Elementary Statistics Credits: (4)

Electives (6 or more credits):

Students must select two additional courses from the following three categories below:

1). One of the remaining Mathematical Modeling courses above

Note that only one of BIOL 325 and MATH 345 can count towards the minor.

2). At most one BIOL 300 level or above course. Examples include:

BIOL 310 - Molecular Cell Biology Credits: (3)
BIOL 312 - Evolution of Organisms Credits: (3)
BIOL 401 - Evolutionary Genetics Credits: (3)
BIOL 314 - Biochemistry Credits: (3) or CHEM 314 - Biochemistry (3)
BIOL 417 - Population and Community Ecology Credits: (4)
BIOL 442 - Molecular Genetics Credits: (3)
BIOL 445 - GIS for Biologists Credits: (3)

3). At most one course from the following list:

BIOL 314 - Biochemistry Credits: (3)
BIOL 404 - Applied Programming for Biology Credits: (3)
CHEM 314 - Biochemistry Credits: (3)
APSC 327 - Introduction to Laser Biomedicine Credits: (3)
APSC 371 - Matroids: The Value of Abstraction Credits: (3)
APSC 450 - Computational Neuroscience Credits: (3)
BIOL 377 - Bioengineering and Synthetic Biology Credits: (3)
BIOL 404 - Applied Programming for Biology Credits: (3)
CHEM 341 - Physical and Analytical Chemistry for Life Sciences Credits: (3)
CSCI 215 - Introduction to Bioinformatics Credits: (3)
CSCI 241 - Data Structures Credits: (3)
CSCI 303 - Algorithms Credits: (3)
CSCI 416 - Introduction to Machine Learning Credits: (3)
CSCI 426 - Simulation Credits: (3)
DATA 302 - Databases Credits: (3)
DATA 301 - Applied Machine Learning Credits: (3)
DATA 340 - Time Series Analysis Credits: (3)
DATA 431 - Spatial Data Discovery Credits: (3)
DATA 442 - Neural Networks & Deep Learning Credits: (3)
MATH 302 - Ordinary Differential Equations Credits: (3)
MATH 352 - Statistical Data Analysis Credits: (3)
MATH 413 - Introduction to Numerical Analysis I Credits: (3)
MATH 414 - Introduction to Numerical Analysis II Credits: (3)
MATH 441 - Nonlinear Dynamics Credits: (3)
MATH 442 - Partial Differential Equations Credits: (3)
MATH 451 - Probability Credits: (3)
MATH 452 - Mathematical Statistics Credits: (3)
PHYS 302 - Fluid Mechanics Credits: (3)
PHYS 403 - Statistical Mechanics and Thermodynamics Credits: (3)
Note: With advisor approval, students may replace one elective requirement with one or more independent study or research credits, which must total 3 credits.