A foundation in systems science provides an exposure to contemporary experimental, mathematical, computational and linguistic modeling tools necessary to analyze existing complex systems. These tools include approximate reasoning, fuzzy logic, uncertainty-based information, reconstructability analysis and soft computing techniques. The Biosystems Track of the Systems Science graduate program provides student the opportunity to develop an advanced understanding of complex systems and acquire technical skills to utilize these modeling tools to analyze a broad range of living systems, from the molecular to the eco-system level.
The requirements for admission to the Biosystems Track are the same as those to the Biomedical Engineering graduate program, with the exception that the student's background should be appropriate to complete the Systems Science core courses.
Core courses are designed to provide a knowledge base in modeling and analysis of systems.
Core courses will be complemented by elective graduate courses in biology, biomedical engineering, systems science or other graduate program appropriate to the candidate's specialization.
Depending upon the degree sought, minimum requirements include course work, fulfillment of a learning contract, demonstration of an ability to teach, passage of a qualifying examination and submission and defense of a master's or/and doctoral thesis. For this track, all mechanisms of evaluation are regulated by the Systems Science Graduate Program faculty.
