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All-University M.S./Ph.D. Program in Integrated Biosciences (IBS)The primary educational objective for this University-wide program is to prepare research scientists, technicians, primary, secondary and post-secondary educators, and future college faculty for careers in the biological sciences. To succeed in this objective, we will train graduate students broadly in this rapidly changing field, yet deeply in a more specialized aspect, of the biological sciences. Training received in the IBS Graduate Program will give students experience with cutting edge technology so that they will be competitive in academic, industrial and governmental settings. Admission Requirements. . . Applicants must have a bachelor's degree or equivalent in the biological or physical sciences or a related field from an accredited college or university. Applicants should have taken at least one year of chemistry, one year of physics, and one semester of calculus. Because of the integrative nature of the program, a wide variety of scientific backgrounds are considered for admission to the IBS program, and applicants are expected to have taken advanced science in preparation. Thus, courses in advanced chemistry, biology, additional calculus and introductory statistics are strongly encouraged and are viewed favorably. Examples of advanced knowledge and subdisciplines include, but are not limited to, biochemistry, botany, cell biology, developmental biology, ecology, evolution, genetic, euroscience, physiology, physical chemistry, psychology, and zoology. FALL 2009 ADMISSION INFORMATION Application Deadline: April 15, 2009 From molecules to ecosystems. . . In the last decade, integration of the biological sciences has changed the research paradigm for the study of life. Advances reveal striking interrelationships in the structure and function of biomolecules, genomes, and cells, and suggest new, more comprehensive ways of thinking about biological problems. Molecular markers are providing new tools for detailed tracking of population dynamics. New mathematical techniques allow ecologists to investigate how ecosystem processes affect evolution of species. The vast amount of information generated in all sectors of biology, coupled with innovations in computer technology, have created a growing demand for scientists who can generate, manage and analyze biological information. By emphasizing the greater picture of how various biological subdivisions interact with each other, scientists can employ multi-pronged approaches to study living organisms spanning from molecules to ecosystems.
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