Master of Science in Computational and Data Sciences

»Master of Science 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 Master of Science 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 Science degree. 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.

+-Your Classes

Four concentrations are available within the graduate program:

  • Analytics and Applied Mathematics
  • Bioinformatics and Computational Biology
  • Computational Economics
  • Earth System Science

Computational Scientists construct mathematical models, develop quantitative analysis techniques and use modern computing technology to tackle Big Data problems in a wide variety of disciplines.  In this program you will learn to apply techniques including Machine Learning, High Performance Computing, Time Series Analysis and Image Processing to answer the world’s most complex questions in fields such as Bioinformatics, Climate Modeling, Drug Design, Economic Science and Predictive Analytics.  You will also be prepared for a career in the exploding new field of Data Science.

+-Your Faculty

Chapman’s computational science faculty consists of internationally renowned educators, scholars, researchers, and experts in their fields, all committed to collaborative, faculty-mentored student research aimed at preparing graduates for the most demanding careers. Our faculty are involved with the top scientific communities in the country: NASA, Jet Propulsion Laboratory, Environmental Protection Agency, U.S. Geological Survey, and the National Institutes of Health, among others.

+-Your Career

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 will help you find your place in this ever-growing field. Upon graduation, you’ll be 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.

+-Admission Guidelines

Prerequisite Courses:

All prerequisite courses must be met by the end of the first semester

  • Differential Equations
  • Data Structures
  • Probability and Statistics

Admission Requirements:

1.  Online application for admission (includes $60 non-refundable application fee)

2.  Official transcript from degree granting institution

3.  Graduate Admission Test Scores – The Graduate Record Examination (GRE) general test scores are required and must have been taken within the last five years.  Applicants must achieve the following minimum scores which are listed as previous version test scores and new version test scores:

  • Verbal: 500/153
  • Quantitative: 550/146
  • Analytical Writing: 4.0/4.0


4.  Letters of recommendation – two letters of recommendation are required, including one from an academic source which describes your professional and academic abilities.

5.  Statement of Intent – a 750 word essay.  Applicants are expected to address science topics they are interested in and how they envision applying computational science in those areas.

6.  Resume – a resume or curriculum vitae is required.

7.  TOEFL (International Students Only) – 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), minimum:

  • 550 (paper-based)
  • 213 (computer-based)
  • 80 (internet-based)

8.  Financial Certification Form (International Students Only)

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Contact us

Catherine Greenberg
Graduate Admissions Counselor
(714) 628-2860

Hesham El-Askary
Program Director
(714) 289-2053

Robin Pendergraft
Program Assistant