»Doctorate in Computational and Data Sciences

Your Classes

The Ph.D. Program in Computational and Data Sciences offers an interdisciplinary and personalized course of study that emphasizes innovative research and applications of research. After completing a set of core courses teaching the basic methodologies and techniques of computational science, students will specialize in an area based on shared interests with one or more faculty mentors, culminating in a final dissertation of the student’s choice.

Your Faculty

Our computational science faculty encompasses internationally renowned educators, scholars, researchers and experts in their fields committed to collaborative, faculty-mentored student research aimed at preparing graduates for the most demanding careers. The college has recruited teams of world-renowned physicists and computational scientists to work on groundbreaking concepts that combine wide-ranging subjects such as physics and engineering, mathematics and computer science, biological science, chemistry, and environmental and health science.

Your Career

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. In addition to organizations under the Departments of Interior such as BLM and USGS, the Doctorate in Computational and Data Sciences offers employment opportunities with NGOs and non-profit organizations, as well as manufacturing and private sector companies.

Financial Aid

Financial aid is available in the form of scholarships, teaching assistantships and research assistantships.  All of our PhD students receive some form of financial aid from Chapman University and many of them receive additional aid through our industry partnerships.  Our industry partners provide scholarship funding as well as internship opportunities for our students.

+-Research Areas

Here are some of the Research Areas of our faculty to which you could contribute:

Atmospheric Pollution over Megacities

Biostatistics

Complex and Hypercomplex Analysis

Computation, Algebra and Topology

Computational Biophysics of Biomolecules

Computational Cancer Biology

Computational Neuroscience

Cosmology

Data Mining

Digital Signal Processing

Drug Discovery

Dust Storm Monitoring using Multisensors

Early Warning of Coastal Earthquakes

Economic Systems Design

Environmental Epidemiology

Experimental Economics

High Performance Computing

Image Processing

Integrated Circuit Design

Predictive Analytics

Protein Kinases and Cancer Research

Quantum and Statistical Mechanics

Quantum Field Theory

Statistical Genetics

Translational Bioinformatics

Visualizing and Analyzing Earth Science Data

+-Admission Guidelines

Prerequisites:
1.    Differential Equations
2.    Data Structures

*All prerequisites must be met by the end of the first semester. 

Admission Requirements:

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

A minimum cumulative grade point average of 3.0.

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, respectively:

  • Verbal:  500/153
  • Quantitative:  600/148
  • Analytical Writing: 4.0/4.0
  • Subject Test (biochemistry, cell and molecular biology, biology, chemistry, computer science, mathematics, or physics) 60th percentile.

Graduate Admission Test Scores – The Graduate Record Examination (GRE) subject test scores are required and must have been taken within the last five years.   Applicants must achieve the following minimum score in the 60th percentile in Biochemistry; Cell and Molecular Biology; Biology; Chemistry; Computer Science; Mathematics or Physics. 

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

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.

Resume – a resume or curriculum vitae is required.

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)

Financial Certification Form (International Students Only)

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On-Campus Information Sessions

Attend an information session and learn about what our Computational and Data Sciences programs have to offer.

Information Session Schedule »

Contact Us

Office of Graduate Admission 
(888) CU-APPLY or (714) 997-6711

Cathy Greenberg
Graduate Admissions Counselor
cgreen@chapman.edu
(714) 628-2860

Hesham El-Askary
Program Director
elaskary@chapman.edu
(714) 289-2053