Information for High School Students on Mathematics/Biology Summer and College Programs
Compiled for the DIMACS Bio-Math Connect Institute by Laura Sontag, July 2004 (Updated January 2006)

 

Undergraduate interdisciplinary majors combining mathematics and biology can be found under many different names: biomathematics or mathematical biology, computational biology, bioinformatics, bioengineering, biomedical engineering, biotechnology, biostatistics (sometimes under statistics or public health), biometrics, quantitative biology, systems biology, applied mathematics, complex systems, genomics, biophysics, epidemiology (under public health), biomedical science, and theoretical biology.  Some schools offer a concentration in one of these areas within their mathematics, statistics, or biology majors.  Other schools may only offer minors in this somewhat new fields.


A great way to see if these areas of study might be right for you is to get involved in a small research project.  There are many internships and summer research experiences available, especially for minorities and women, and some may be open to high school students.  Try an internet search or ask teachers in your school if they know of any opportunities.  You may even want to contact professors at nearby colleges to see if you could get involved in one of their projects.

 

Summer Internship Program in Biomedical Research at the National Institutes of Health

 

Science Training Programs

 

Summer Math Camps and Programs - American Mathematical Society

 

 

Other Links:

 

Article on the Mathematical Biology Job Market

 

Careers in Theoretical Biology

 

Mathematical Biology Links

 

American Mathematical Society Links for High School Students and Teachers





The list below is not a complete list of schools offering these interdisciplinary majors, and the sample course requirements are not guaranteed to be accurate.  This list is simply meant to give you some idea of the types of courses a student would take under the major.  If you notice that any links have become inactive, please e-mail me:  Laura463 {AT} hotmail {DOT} com.  If you would like a link to be added, please send me the program URL.

 

 

Biomathematics:

 

Rutgers University (New Jersey)

 

Florida State University

 

University of Scranton (Pennsylvania)

 

Harvey Mudd College (California)

 

Massey University (New Zealand)

 

University of Pennsylvania

 

 

Bioinformatics and Computational Biology:

 

Cornell University (New York)

 

University of California, Santa Cruz

 

Simon Fraser University (Canada)

 

Brigham Young University (Utah)

 

Others: The International Society for Computational Biology

 

 

Computational Biology and Mathematical Biology:

 

University of Pennsylvania

 

 

Bioengineering:

 

University of Illinois at Chicago

 

Arizona State University

 

University of California, Berkeley

University of Washington

 

 

Biomedical Engineering:

           

Carnegie Mellon University (Pennsylvania)

 

 

Biotechnology:

 

University of Wisconsin

 

Cook College, Rutgers University (New Jersey)

 

 

Biostatistics:

 

University of North Carolina, School of Public Health

 

Emory College and the Rollins School of Public Health (5-year bachelors/masters degree program) (Georgia)

 

 

Biometry and Statistics (with an optional Statistical Genomics concentration):

 

Cornell University (New York)

 

 

Quantitative Biology:

 

Ohio University

 


Biological Physics:

 

Brandeis University (Massachusetts)

 

 

 

Course requirements for sample majors:

 

Biomathematics at Rutgers (www.biomath.rutgers.edu)–

 

Core Biology and Chemistry required courses:

General Biology I and II, General Chemistry I and II, Introduction to Experimentation

 

Mathematics required courses:

Calculus I, II, and III, Introductory Linear Algebra, Elementary Differential Equations, Differential Equations in Biology, Discrete and Probabilistic Models in Biology, Mathematical Theory of Probability, Mathematical Theory of Statistics

One of the following six courses:

Linear Algebra, Numerical Analysis, Elementary Partial Differential Equations, Graph Theory, Combinatorics, Probability II

 

One laboratory course

 

Electives – Four courses from the following list:

Fundamentals of neurobiology, Fundamentals of cell and developmental biology, Systems Physiology, Advanced Neurobiology, Advanced Cell Biology, Immunology, Organic Chemistry, Genetics, Behavioral Genetics, General Microbiology, Topics Molecular Genetics, Evolutionary Genetics, Principles of Applied Ecology, Principles of Evolution, Population Genetics

At most one of: Molecular Biology, Introductory Biochemistry and Molecular Biology, Molecular Biology and Biochemistry I, Molecular Biology and Biochemistry II

At most one of: Cardiovascular Engineering, Fundamentals of Computer Tomography, Sensory Process, Mechanisms, and Computational Models.

 

 

Bioinformatics at Cornell (www.cis.cornell.edu/cb/undergrad.htm) –

 

core training in biology and the supporting sciences of physics and chemistry, plus…

 

one course in computer programming
 

one course in mathematics (Linear Algebra and Calculus, Linear Algebra, Engineering Mathematics II, Differential Equations and Dynamical Systems, Theory of Probability, Matrix Computation)
 

a bridging course, i.e., a course in mathematical modeling applied to biology (Dynamic Models in Biology, Theoretical Ecology, Numerical Methods in Computational Molecular Biology, Introduction to Statistical Genomics and Bioinformatics)

 

one course from the following list of advanced courses:

Protein Structure and Function, Population Genetics, Molecular Evolution, Human Genomics, Introduction to Computational Neuroscience, Modeling Behavioral Evolution, Phylogenetic Systematics, Quantitative Animal Genetics, Applied Population Ecology, Quantitative Ecology of Fisheries, Wildlife Population Analysis: Techniques & Models, Spatial Statistics, Theory of Probability, Statistical Genomics, Computationally Intensive Statistical Inference, Data Structures and Algorithms for Computational Science, Computers and Programming, Introduction to Computational Biology, Computational Molecular Biology, Computational Biology: The Machine Learning Approach, Differential Equations and Dynamical Systems, Engineering Probability and Statistics II, Introductory Engineering Stochastic Processes.

 

 

Bioengineering at University of Illinois at Chicago (www.uic.edu/ucat/catalog/EGBIOEENGR.html) –

 

Required Outside of the College of Engineering:

General College Chemistry I and II, General Physics I (Mechanics), General Physics II (Electricity and Magnetism)

One from the following two:

General Physics III (Modern Physics), General Physics IV (Heat, Fluids, and Wave Phenomena)

 

Calculus I, II and III, Introduction to Differential Equations, Applied Linear Algebra, English Composition I, English Composition II, Biology of Cells and Organisms

 

One from the following four:

Mendelian and Molecular Genetics, Homeostatis: The Physiology of Plants and Animals, Introductory Biochemistry, Cell Biology

One from the following three:

Evolution, Nerve and Muscle Physiology, Animal Physiological Systems

 

Humanities electives (6 hrs)

Social sciences electives (6 hrs)

 

Required in the College of Engineering Outside the Major:

Orientation, Statics, Thermodynamics

One of the following two:

Introduction to Programming, Fortran Programming for Engineers

One from the following two:

Electrical Circuit Analysis, Circuit Analysis

Two courses from the following five:

Strength of Materials, Properties of Materials, Discrete and Continuous Signals and Systems, Integrated Circuit Engineering, Fluid Mechanics

 

Major Course Requirements:

Introduction to Bioengineering, Modeling Physiological Data and Systems, Senior Design I, Senior Design II, Bioinstrumentation & Measurements I, Bioinstrumentation & Measurements I Lab, Bioinstrumentation & Measurements II, Bioinstrumentation & Measurements II Lab, Biostatistics, Materials in Bioengineering

One from the following five:

Biomechanics, Biomedical Imaging, Introduction to Cell and Tissue Engineering, Neural Engineering I, Introduction to Bioinformatics