As the challenges we face—environmental, biological, chemical, geophysical—continue to grow, it’s computational sciences will help us meet those issuess head on. The Masters in Computational Science is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics and computing. Through the modeling, simulation, data mining, and study of specific phenomena via computer analysis and engineering, you’ll learn to apply extraordinary technology and processes to answer the world’s most complex questions as part of your Computational 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.
»Master of Science in Computational Science
Three concentrations are available within the graduate program:
- Earth Systems Science
- Applied Mathematic
- Biology and Biotechnology
Unlike many other graduate programs, Chapman’s Computational Science program provides a truly interdisciplinary approach, with classes in subjects including data mining, software engineering, differential equations, statistics, signal processing, computer algorithm design, bioinformatics, biotechnology, earth system sciences, meteorology, and more. See the course catalog for more information.
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 National Institutes of Health, among others.
According to academic forecasters and business analysts, Computational Science is one of the most rapidly emerging areas of study in the nation. Chapman’s graduate program in Computational 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, environmental modeling, medical development, gene sequencing, geology and meteorology.
All prerequisite courses must be met by the end of the first semester
- Differential Equations
- Data Structures
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
- Subject Test (any subject) 60th percentile
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)