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Schmid College of Science and Technology

» Ph.D. in Computational and Data Sciences

In Chapman University’s Ph.D. in Computational and Data Sciences program, you’ll collaborate on innovative research as you work closely with faculty mentors who will help prepare you to thrive in a variety of professional settings, from academia to private industry, scientific research labs to government agencies. You’ll learn to design and implement mathematical models and refine quantitative analysis techniques to solve complex scientific problems. Develop your dissertation as you explore careers in diverse fields such as medicine and epidemiology, climate and Earth hazards, big data and high-performance computing, drug design, genetics, natural language processing, bioinformatics and biotechnology, economics and sports analytics.

Employment and Future Opportunities

U.S. News and World Report recently ranked data science as the #6 best job in 2022. In our tech-driven world, employers are increasingly recognizing the value of data science professionals. 

Since employers continue to seek computer professionals who can combine strong technical skills with good interpersonal and business skills, the Ph.D. in Computational and Data Sciences prepares students for employment in academia, scientific research laboratories, private industry and governmental agencies. 

Graduates from the program have gone on to work in a variety of industries, such as:

  • Artificial Intelligence and Machine Learning
  • Higher Education Institutions
  • Healthcare
  • Music Industry
  • Government Agencies
  • Large Tech Companies such as Amazon, Microsoft, Google, Yahoo

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Cyril Rakovski, Ph.D.
Co-Program Director
(714) 997-6945

Adrian Vajiac, Ph.D.
Co-Program Director
(714) 997-6898

Matthew Martinez, MFA
Graduate Program Coordinator
(714) 997-6993

Monica Chen, MA
Associate Director of International Initiatives, DSO
(714) 289-3590

Graduate Financial Aid
(714) 628-2730

Application Deadlines

Early Admission Deadline: December 1, 2023
Regular Deadline: January 15, 2024

Applications submitted after the deadline will be reviewed on a space-available basis.