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Quantitative Biology
MATHEMATICAL MODELING FOR THE LIFE SCIENCES
Biological systems have many interacting units at the level of molecules, cells, organs and organisms. These complicated systems may be understood through the construction, analysis and computational simulation of mathematical models. Such models exploit both theory and observation to provide new predictions of the behavior of complex biological systems. The UD Quantitative Biology Program equips students with crucial mathematical tools along with the requisite scientific knowledge necessary to apply them in the life sciences.
RELATED MAJORS
AREAS OF STUDY
- Cell Biology and Genetics
- Mathematical Modelling
- Computational Mathematics
- Probability and Statistics
- Cell and Molecular Biology
- Ecology
CAREER OPTIONS
- Pharmaceutical or Biomedical Research
- Data Scientist
- Doctor
- Professor
- Agricultural Research
- Food and Drug Administration Scientist
- Food Industry Scientist
- Energy Researcher
GRADUATE PROGRAMS
- Applied Mathematics
- Biostatistics
- Biomedical Engineering
- Systems Biology
- Medicine
- Data Science
- Bioinformatics
- Pharmacology
- Ecology
What’s special about this program?
We are one of the few universities to offer an undergraduate degree in Quantitative Biology. In our program, students acquire a sound knowledge of mathematics, biology and chemistry. These disciplines are unified in integrative seminars where complex biological systems are modeled and studied using computer simulations. The curriculum culminates in a project based, research-intensive capstone course.
Get Involved
Undergraduate Research
Honors Program
Math Club
Mathematical Contest in Modelling
Sample curriculum
BISC207
|
Introduction to Biology I |
| BISC208 | Introduction to Biology II
|
CHEM103
|
General Chemistry II |
CHEM104
|
General Chemistry II |
| ENGL110 | Seminar in Composition
|
MATH210
|
Discrete Math I |
MATH241
|
Analytic Geometry and Calculus A |
MATH242
|
Analytic Geometry and Calculus B |
UNIV101
|
First Year Experience |
College Breadth Course
|
| CHEM321 | Organic Chemistry I
|
| CHEM322 |
Organic Chemistry II
|
| CISC106 | Computer Science
|
| MATH243 | Analytic Geometry & Calculus C
|
MATH260
|
Integrative Seminar |
MATH302
|
Differential Equations |
| MATH349 | Linear Algebra
|
BISC Core Courses
|
|
College Breadth Course
|
| CHEM527 | Introduction to Biochemistry
|
| BISC312 | Field Ecology
|
| MATH350 |
Probability and Simulation
|
| MATH426 | Numerical Computing
|
MATH450
|
Mathematical Statistics |
MATH535
|
Partial Differential Equations |
| PHYS207 | Physics I
|
| PHYS208 | Physics II
|
Integrated Elective Courses
|
|
| MATH426 | Computational Math
|
| College Breadth Course |
| MATH460 | Intro to Systems Biology
|
Integrated Elective Courses
|
|
BISC Core Courses
|
|
Bioethics Course
|
|
Research I and II
|
|
| College Breadth Courses |
