Computational and Data Sciences Program

Computational and Data Sciences

Chapman University offers both M.S. and Ph.D. programs in Computational and Data Sciences. The programs follow a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics and computing. Chapman University's graduate programs in computational and data sciences helps students find their place in this ever-growing field.

Through modeling, simulation and study of specific phenomena via computer analysis, data mining and software engineering, students learn to apply extraordinary technology and processes to answer the world's most complex questions in fields including:

-Predictive Analytics
-Earth Systems Science
-Bioinformatics and Biotechnology
-Genomics and Drug Design
-Population Genetics
-Economic Science

Whereas computer science involves the pursuit of new frontiers chiefly within the realm of computer software and hardware, computational science practitioners apply the knowledge and power of computing to other science disciplines, whether it be running a costly physics experiment through a computer simulation to save millions, or creating new software that can sift through raw data with a far more strategic and sophisticated eye.

According to academic forecasters and business analysts, computational and data science is one of the most rapidly emerging areas of study in the nation. Chapman's graduate program in computational and data science helps students find their place in this ever-growing field. Upon graduation, graduates are greeted with a diverse range of career options. Graduates go on to work in the areas of aerospace engineering, data science, environmental modeling, medical development, gene sequencing, geology and meteorology.

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