PhD in Computational and Data Sciences
As the challenges we face—environmental, biological, chemical, geophysical—continue to grow and generate massive amounts of data, it’s computational and data sciences that will help us meet those issues head on. The Doctorate in Computational and Data Sciences is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics and computing. Through modeling, simulation, data mining, and study of specific phenomena via computer analysis and engineering, you will learn to apply extraordinary technology and processes to answer the world’s most complex questions as part of your Computational and Data Sciences degree. Whereas computer science involves the pursuit of new frontiers chiefly within the realm of computer software and hardware, computational and data 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.
Chapman University is accredited by and is a member of the Western Association of Schools and Colleges.
International Student Requirements:
Applicants who have completed their undergraduate degree outside of the United States are required to achieve an acceptable score on the Test of English as a Foreign Language (TOEFL). TOEFL scores:
Facts & Figures
Financial Aid: No
International Financial Aid: No
# of Credits Required: 72
Average Cost per Credit (Graduate): $1200 USD
In State Tuition (per year): 21600 USD
Out State Tuition (per year): 21600 USD
Classification: Master's College or University I
Locale: Midsize City
Size & Settings: 6,000-9,999