The training program draws students from a variety of backgrounds
in the sciences and in engineering, reflecting the equally diverse
composition of the Institute’s faculty. Applications are welcomed
from students with degrees in chemical, mechanical, electrical,
and computer engineering, applied mathematics, physics, biophysics,
chemistry, biochemistry, and other related disciplines.
To accommodate the diverse background of our students, we have
flexible course requirements tailored specifically to the interests
and background of our students. We strongly recommend that students
fulfill requirements in introductory general chemistry and organic
chemistry, introductory physics and calculus before joining the
program in order to be able to participate fully in the first year
The principles, methods, and tools for multi-scale modeling of biological
systems are drawn from the disciplines of biology, chemistry, biophysics, mathematics, computer science, and chemical, mechanical, electrical,
and biomedical engineering. Consequently our curriculum is correspondingly
broad. However, the number of required courses is kept to a minimum.
During their first year students are required to complete two semester-long
survey courses. The first course focuses on fundamental concepts
of biochemistry, cell and molecular biology. The second course introduces
engineering analysis, numerical methods and simulations. More comprehensive
coverage of topics in these courses can be found in complementary
specialized graduate courses.
During the first two years, students are required to complete
6 other courses from a large selection that includes courses in
cell biology, molecular biology, physical chemistry of biological
macromolecules, proteins and nucleic acids, protein solution thermodynamics,
statistical mechanics in biological systems, fundamentals of membrane
biology, computational mechanics of biological macromolecules,
and nanoscale simulations, computational biology and bioinformatics,
signal control in biological signaling pathways, and systems biology
of cell regulation.