Computational and Data Scientists construct mathematical models, develop quantitative analysis techniques, and use computers to analyze and solve scientific real-life problems. Our mission is to provide graduates with innovative tools and a collaborative approach to meeting tomorrow’s challenges.
»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.
Academic Program and Research
Through modeling, simulation and study of specific phenomena via computer analysis, data mining and software engineering, you will learn to apply extraordinary technology and processes to answer the world’s most complex questions in fields including:
- Predictive Analytics
- Earth Systems Science
- Bioinformatics and Biotechnology
- Genomics and Drug Design
- Population Genetics
- Economic Science
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.
- Requirements for the Master of Science in Computational and Data Sciences Degree:
CORE COURSES (13–16 credits)
CS 510* Computing for Scientists (3)
CS 520 Mathematical Modeling (3)
CS 530 Data Mining (3)
CS 540 High–Performance Computing (3)
CS 555 Multivariate Data Analysis (3)
CS 595 Computational Science Seminars (1)
* waived for students with strong computing backgrounds
ELECTIVE COURSES (12 credits)
Select four elective courses including at least three courses (nine credits) in one of the following concentrations:
Analytics and Applied Mathematics
CS 611 Time Series Analysis (3)
CS 612 Advanced Numerical Methods (3)
CS 613 Machine Learning (3)
CS 614 Interactive Data Analysis (3)
CS 615 Digital Image Processing (3)
Bioinformatics and Computational Biology
CS 621 Bioinformatics and Computational Biology I (3)
CS 622 Bioinformatics and Computational Biology II (3)
CS 623 Computational Systems Biology (3)
CS 624 Biostatistics (3)
CS 532 Computational Economics (3)
CS 533 Computational Methods in Financial Markets (3)
CS 564 Game Theory (3)
CS 611 Time Series Analysis (3)
CS 634 Dynamical Optimization (3)
Earth System Science
PHYS 520 Physical Principles of Remote Sensing (3)
CS 641 Introduction to Natural Hazards (3)
CS 642 Earth System Science (3)
CS 643 Satellite Image Processing (3)
CS 644 Global Climate Change (3)
RESEARCH/PROJECT COURSES (6 credits)
Choose one of the following options after successfully completing the core requirements in the program.
CS 664 Research Topics in Computational Science (3)
CS 665 Capstone Project (Directed Reading) (3)
CS 697 Thesis (1-6)
TOTAL CREDITS: 31–34
4 + 1 Integrated Undergraduate/Master of Science in Computational and Data Sciences
The Schmid College of Science and Technology offers an integrated program for undergraduates which enables students to begin taking M.S. course work in their senior year and receive a M.S. in Computational and Data Sciences within one year of finishing their undergraduate studies. Thus, students can earn a B.S. and M.S. in five years. Students can apply to the M.S. program in their junior or senior year. Students will receive conditional admission to the program, pending completion of their B.S. degree. If accepted to the M.S. program, students can take up to 12 credits in M.S. 500–level courses during their senior year. The application process, prerequisites, GPA and graduate program requirements are as specified for the M.S. in Computational and Data Sciences, however the application fee and GRE are waived.
An undergraduate student who is a senior may enroll in 500–level courses with the permission of the program director. An undergraduate student may enroll in a maximum of 12 credits of 500–level courses that will count towards both the B.S. and M.S. degrees. So, for future admission to the (4 + 1) program, by the end of the fourth (senior) year, the student should have completed at least 124 credits including the 12 graduate credits that will be double counted and have at least a 3.000 cumulative GPA and then they will be eligible to complete the master's degree in one additional year.
See the Course Catalog for course descriptions.
- 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
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.
ADDITIONAL REQUIREMENTS FOR INTERNATIONAL STUDENTS
7. Applicants whose first language is not English or who have completed their undergraduate degree outside of the United States are required to achieve an acceptable score on one of the
following English language proficiency exams which must have been taken within 2 years of the date of application for admission to Chapman University.
- Test of English as a Foreign Language (TOEFL),
- International English Language Testing System (IELTS)
- Pearson Test of English (PTE Academic) or
- Cambridge English Advanced Exam(CAE)
- TOEFL: 550 (PBT) or 80 (iBT)
- IELTS: 6.5
- PTEA: 53
- CAE: Level C1
If you are an F student, you have the option of working in the United States (after one academic year of study) by engaging in practical training during your program or after it ends. Practical training can provide valuable work experience by sharpening and adding to the skills you are learning in school. There are two types of practical training available for F-1 students: curricular practical training (CPT/internship) and optional practical training (OPT).
Recipients of bachelor’s, master’s, and doctoral degrees in certain STEM (Science, Technology, Engineering, Mathematics) fields may be eligible for a one-time 17-month extension of post-completion OPT (for a total eligibility of up to 29 months). The 17-month Stem Extension OPT is approved by the United States Citizenship and Immigration Services (USCIS). Our International Student and Scholar Services office will assist you with this application.
For questions regarding any international student services, contact Susan Sams, Specialist International Student & Scholar Services email@example.com /(714) 997-6829.
4+1 INTEGRATED GRADUATE PROGRAM ADMISSION GUIDELINES
Students should apply in their junior year. The application process, prerequisites, GPA and graduate program requirements are as specified for the M.S. in Computational and Data Sciences, however the application fee and GRE are waived.
- Differential Equations
- Data Structures
- Probability and Statistics
2015/2016 Tuition Information - ALL COSTS LISTED IN THIS SECTION ARE SUBJECT TO CHANGE WITHOUT NOTICE.
Tuition per credit - $1,390
Financial assistance is available in the form of federal loans, department scholarships, teaching assistantships and research assistantships. Most of our students receive some form of financial support from Chapman University and some receive additional aid through our industry partnerships. Our industry partners provide scholarship funding as well as internship opportunities for our students.
All students who submit a complete application will be automatically considered for a department scholarship. Admitted students will be notified of scholarships soon after receiving confirmation of admission.
More information can be found on the Financial Aid website or by contacting Katherine Gutierrez at firstname.lastname@example.org or (714)744-7948.
May 1st for fall semester enrollment.
See the Academic Calendar for semester start and other dates.
- 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.
Dr. Mohamed Allali - Associate Professor of Mathematics and Computer Science
Dr. Allali's research interests include: Applications of Digital Image Processing in Mathematics, Wavelets, Digital Signal Processing, Computational Methods for Climate Data, Linear Algebra, Mathematical Modeling, and Approximation Theory.
Dr. Hesham El-Askary - Program Director; Associate Professor of Remote Sensing and Earth System Sciences
Dr. El-Askary’s research interests center studying the interactions and ongoing processes between the Earth’s various spheres. Specific projects under investigation include the impact of natural and anthropogenic aerosols on: cloud microphysics, hurricanes, human health, local climate as well as change detection analysis of different marine habitats stressed by local climate variability, studying global impacts on a local scale spatially and temporally with emphasis on using dimension reductions algorithms to assess handling big data.
Dr. Michael Fahy - Professor; Associate Dean, Schmid College of Science and Technology
Fordham University, Bachelor of Arts
University of California, Santa Barbara, Master of Arts
University of California, Santa Barbara, Ph.D. in Mathematics
Dr. Menas Kafatos - Professor, Fletcher Jones Endowed Professor of Computational Physics; Director, Center of Excellence in Earth Systems
Research Interests: Interdisciplinary Earth system science, Natural hazards & climate change, Aerosols & pollution, Vegetation & climate change coupling, Tropical cyclones, Content-based Earth science data browsing, Black holes, active galaxies & quasars, Cosmological redshifts, Foundations of quantum theory, Quantum theory & brain dynamics.
Dr. Erik Linstead - Assistant Professor of Computer Science and Software Engineering; Director, Undergraduate Computing Programs; Principal Investigator, Machine Learning and Assistive Technology Lab.
Dr. Erik Linstead is an Assistant Professor of Computer Science and Software Engineering in Chapman’s Schmid College of Science and Technology, as well as the Director of Undergraduate Computing Programs. His current research interests are at the intersection of machine learning and assistive technology, which is why he founded the MLAT lab at Chapman in 2015. In the past Erik’s research has been in machine learning applied to the areas of automated software engineering and chemical informatics. Erik holds a B.S. from Chapman, a M.S. from Stanford, and a Ph.D. from UC Irvine, all in computer science, and is a senior member of the ACM and IEEE. Outside of work Erik enjoys spending time with his family, golf, and working on Porsches.
Dr. Ali Nayeri - Assistant Professor, Instructional Faculty, Physics, Computational Science and Engineering
Sharif University of Technology, Bachelor of Science
Institute for Advanced Studies in Basic Sciences, Master of Science
University of Pune, Ph.D.
Dr. David Porter - Professor of Economics and Mathematics, Donna and David Janes Endowed Chair in Experimental Economics
Dr. Porter's research interests include: Economic Systems Design, Financial Economics, and Experimental Methods.
Dr. Tatiana Prytkova - Assistant Professor of Chemistry and Computational Science
Dr. Prytkova’s research interests are in computational chemistry and biophysics.
Dr. Atanas Radenski - Professor of Computer Science
Dr. Radenski’s research interests are in the areas of scientific computing; big data and cloud computing; parallel and distributed computing; programming languages; object-oriented computing; e-learning. Specific projects under investigation target (i) map-reduce parallel algorithms for data-intensive grid models and (ii) shared-memory and message-passing divide-and-conquer algorithms.
Dr. Cyril Rakovski - Assistant Professor of Statistics
Dr. Rakovski’s research interests are primarily focused in the field of statistical genetics and in particular in the design of novel statistical methods for genome-wide association studies for both family and case-control data. He is also interested in developing and applying advanced methods for analysis of complexly sampled case-control, time series, longitudinal, and survey data.
Dr. Steven J. Rassenti - Professor, Mathematics and Computer Science; Director, The Economic Science Institute
About the Economic Science Institute
Dr. Rassenti's research interests include: Economic Systems Design, Experimental Economics, and Organizational Design.
Dr. Ramesh P. Singh - Professor, Physics, Computational Science and Engineering
Dr. Singh's Research Interests include: Natural Hazards, Early Warning of coastal earthquakes, Soil moisture, Landslides, Snow avalanches, Floods, Dust storms, Remote sensing applications, Geophysical Explorations, Atmospheric pollution and Mining Environment.
Dr. Jeff Tollaksen - Professor, Physics, Computational Science and Engineering; Director, Institute of Quantum Studies
About the Institute for Quantum Studies - The mission of the Institute for Quantum Studies is to provide a focal point for students, researchers, institutions, state and national governments, and industry around the world to collaborate for the advancement of the foundations and applications of Quantum Physics.
Dr. Criselda S. Toto - Assistant Professor, Mathematics and Computer Science
De La Salle University, Bachelor of Science
De La Salle University, Master of Science
Worcester Polytechnic Institute, Ph.D.
Dr. Adrian Vajiac - Associate Professor, Mathematics and Computer Science
Dr. Vajiac's research interests include: Complex and Hypercomplex Analysis, Algebraic Computational Methods in Geometric and Physics PDEs, Equivariant Localization Techniques in Topological Quantum Field Theory, Foundations of Geometry, and Mathematics and Physics Education.
Dr. Gennady Verkhivker - Professor of Physics, Computational Science and Engineering
Dr. Verkhivker's research activities are in the areas of computational cancer biology, translational bioinformatics, and computational pharmacology.
- Raymond AndenRaymond's interests are in Predictive Analytics, Data Mining and Machine Learning. He has a B.A. In Economics and Management from UC Irvine, MBA with emphasis in Finance, MS In Predictive Analytics from Northwestern University. He is a Marketing Analyst where his role is to architect Business Intelligence platforms, automate Reports and utilize our data. He does Sales Forecasting and Reporting on all interactions customers have with the company: Sales, Quotes, Calls, Travel Visits, Training, Web Activity, etc.
Cody ArbuckleCody graduated from Chapman University with a B.S. in Biological Sciences in 2014. He is currently working to complete his M.S. in data and computational sciences. His current research involves using machine learning for cell identification, classification and tracking. He is currently a junior specialist at the University of California Irvine Medical Center where he is exploring machine learning and computational techniques to improve patient doctor interaction and post-operative care.Ryan BurnsRyan is a Chapman Computer Science graduate and current Master’s student in Computational and Data Sciences. He played a large role in the front-end mobile development of the Autism Management Platform and is passionate about utilizing his skills in software development to positively affect the lives of others. Ryan is currently a Mobile Software Engineer at grandPad, teaches introductory computer science courses at Chapman, and has great interest in the opportunities of data analytics that his current projects can potentially introduce.Rene German
Rene German has been teaching as an Adjunct Professor the last 3 years but brings to the table nearly a decade of Software Engineering experience in which he shares with his students and associates. Rene has a B.S. in Computer Science and a projected (2015) M.S. in Computational Science from Chapman University.Kendall HolmesKendall Holmes grew up in Newport, RI, and graduated from Middletown High School. He is currently attending Chapman University and pursuing a B.S. in Computer Science and a M.S. in Computational Sciences for Biotechnology and Bioinformatics. Kendall works as a supplemental instructor for Physics 101. During the initial stage of the Autism Management Platform project, he worked as process lead and is now working as a software developer.Duy NguyenDuy Nguyen graduated with a Bachelor degree in Computer Information System and is currently pursuing his Master’s degree in Computational and Data Sciences. He’s currently working for Absolute Exhibits as a Developer/Marketing Technologist and is a member of the AMP project. Duy loves photography and vinyl records.Elizabeth StevensElizabeth Stevens completed her undergraduate degree in mathematics from Chapman University in 2010. After that, she worked for a finance firm and Standard & Poor’s Ratings. She decided to return to Chapman in the fall of 2014 to pursue a graduate degree in Computational and Data Science, and is currently working with the MLAT lab on building machine learning models for clinical autism data. She also enjoys teaching calculus and computer science courses. Elizabeth is a Colorado native and certified yoga instructor.David TylerDavid Tyler is concurrently completing a three-year B.S. program in Computer Science and a M.S. in Computational Sciences, both at Chapman University. Over the last eight years, he has been developing software across a variety of platforms, and currently works as a Software Engineer for a startup company. A key developer for AMP, David has been overseeing the central API and systems coordination, and also manages the behind-the-scenes technology that power the platform.Anthony YoungAnthony Young is a current undergraduate senior Computer Science major and is in the Masters program in Computational Science. He is employed as a Software Engineer at devIO in Costa Mesa. He enjoys programming and figuring out problems.
ALUMNI SPOTLIGHTJames TroupeHaving previously worked with Professors Tollaksen and Aharonov at George Mason University, James Troupe entered Chapman's Computational Science program in the summer of 2012. The focus of his research is the foundations of quantum mechanics and its relation to communication and computation. In the summer of 2014 James completed the Ph.D. in Computational Science -- the first doctorate awarded in the program at Chapman University. He is currently a scientist at the Applied Research Laboratories of the University of Texas at Austin pursuing research in quantum information technology.
- Q: How long does it take to complete the MS program? The PhD program?
A: The length of time it takes to complete the program varies, depending on the amount of courses taken each semester. Students enrolled full time usually complete the MS program in two years and the PhD in four years. Students may also attend on a part-time basis.
Q: How much is tuition?
A: As of 2015-2016, tuition is $1390 per credit.
Q: What scholarships are available?
A: Many of our students receive some form of financial support from Chapman University and some receive additional aid through our industry partnerships. Our industry partners provide scholarship funding as well as internship opportunities for our students. Some scholarship search options are found on the Financial Aid - Outside Scholarships page.
Q: Can I transfer courses taken online?
A: Yes, we accept online courses that meet all transfer requirements and are from regionally accredited schools.
Q: Can I count my MCAT/GMAT score towards the GRE requirement?
A: Although it depends upon the individual circumstances, we do sometimes use other test scores as a replacement for the GRE. Please contacts us if you would like to discuss this options.
Q: What type of options do I have to take night time classes?
A: We offer late afternoon and evening courses every semester. Students nearing the end of their program will also take more research-based independent study courses with their advisors.
Q: Can I send in transcripts to show coursework from non-degree granting institutions?
A: Yes, we will take all courses you have completed into account for both admission and transfer credit.
Q: Are Chapman's Computational and Data Sciences degrees STEM (Science, Technology, Engineering, Mathematics) programs?
A: Yes, students in our program are eligible to apply for STEM benefits. See the International Student & Scholar Services for more information. You can also contact Susan Sams, Specialist International Student & Scholar Services, at email@example.com or 714-997-6829, with any questions.
Q: What is OPT
A: Optional Practical Training or OPT allows you to work for one year, following graduation, in a job related to your major or field of study. See the International Student & Scholar Services for more information. You can also contact Susan Sams, Specialist International Student & Scholar Services, at firstname.lastname@example.org or (714) 997-6829, with any questions.
Q: What is CPT?
A: Curricular Practical Training or CPT allows you to participate in an off-campus paid internship that is related to your major or field of study. See the International Student & Scholar Services for more information. You can also contact Susan Sams, Specialist International Student & Scholar Services, at email@example.com or (714) 997-6829, with any questions.
- ACADEMIC RESOURCES
2015-2016 Graduate Catalog
2015-2016 Academic Calendar
Graduate Assistant Handbook
Graduate Change of Program Form
Graduate Student Checklist - for new students
Graduate Student Guide to Chapman
Graduate Research Opportunities
Independent Study and Research Course Form
Master's Thesis Committee Form
Master's Thesis Defense Form
My Chapman Portal
Program Related Resources
Registrar Student Services
Undergraduate Request to Register for Graduate Course Form
After College Job Board
International Student and Scholar Services
Outside Scholarship Search
Centers of Excellence
Computer Science Industry Advisory Board
Economic Science Institute
Institute for Quantum Studies
Meet up Group - Future Chief Data Scientists
Congratulations to Computational and Data Sciences PhD student Louis EhwerhemuephaOn May 26, 2015, Mr. Ehwerhemuepha successfully defended his PhD thesis, entitled "Contributions to nonparametric methods, stepwise model selection algorithms in logistic regression and epidemiology of general pediatric hospital readmission"
His committee was composed of Dr. Cyril Rakovski (Chair), Dr. Atanas Radenski, Dr. Anthony Chang and Dr. Bill Feaster. The committee found that Louis' work was of high standard, original, technical, computationally sophisticated with influential results and meets the requirements for awarding a Ph.D. degree.
Please join us in congratulating Dr. Louis Ehwerhemuepha for this significant accomplishment!
Congratulations to Computational and Data Sciences MS student Rene German for being a 2015 recipient of the James L. Doti Outstanding Graduate Student Award!
The highest honor for graduate students at Chapman University, the James L. Doti Outstanding Graduate Student Award is awarded annually to the outstanding graduating master’s and doctoral students with distinguished records of academic accomplishment, scholarship, and/or service. The names of the award recipients are permanently inscribed on the Doti Award trophy, which incorporates artist Nick Hernandez’s sculpture Emergence, on display in Argyros Forum. Each recipient receives a desk-size copy of the trophy, a cash award of $1,000, and is recognized at their school’s commencement ceremony.
Mr. Rene Israel German is receiving a Master of Science in computational and data sciences. His nomination from Schmid College of Science and Technology states, “To those of us in the Schmid College that have gotten to know him since he arrived at Chapman over 12 years ago, Rene is more than just an outstanding student. He is a talented teacher, genuine mentor, and a dependable colleague.” He currently works in Chapman’s Machine Learning and Assistive Technology Lab, where he tackles research problems in autism and ABA therapy. Mr. German is an adjunct professor at Chapman and has served as Senior Software Engineer for Core Logic. Recently, he became Lead Software Engineer for grandPad, Inc.
August 29, 2015 - Doctoral Qualifying Examination (please email Robin Pendergraft for more information or to sign up)
August 31, 2015 - Instruction begins
September 7, 2015 - Labor Day (University closed)
Nov. 23 - 27, 2015 - Thanksgiving recess (Monday-Wednesday, students, University closed Thursday-Friday)
December 12, 2015 - Last day of instruction
Dec. 14 - 19, 2015 - Final Examinations
- Please see the 2014-2015 Academic Calendar and/or 2015-2016 Academic Calendar for details and more dates
Faculty and Students in the News
Student in a perfect storm of research
Knowledge Byte: What is El Nino
Big Data promises big breakthroughs
Chapman Digital Commons - news archive
- Graduate Programs
- MS Computational and Data Sciences+
- PhD in Computational and Data Sciences+
- MS Food Science+
- Request for Information Form+
Graduate Financial Aid
Specialist International Student & Scholar Services