Map of the world with heat signatures

Schmid College of Science & Technology

Computational and Data Sciences

» Master of Science in Computational and Data Sciences

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.

+ - Program

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

Employment and Future Opportunities
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.

Location
The program is offered at the Chapman campus located in Orange, California.

+ - Curriculum

PREREQUISITES (24 credits) - equivalent preparation may be used to satisfy the following courses

MATH 210  Multivariable Calculus (3)
MATH 211  Linear Algebra (3)
CPSC 230  Computer Science I (3)
CPSC 231  Computer Science II (3)
CPSC 350  Data Structures and Algorithms (3)
MATH 350  Differential Equations (3)
MATH 360  Probability Theory (3)
MATH 361  Mathematical Statistics (3)

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)

Computational Economics
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/ELECTIVE COURSES
 (6 credits)
Choose one of the following options after successfully completing the core requirements in the program.

Option 1 - non–thesis option
additional graduate level elective from area of study (3)
additional graduate level elective (3)

Option 2 - Thesis option
CS 697 Thesis (1-6) 

TOTAL CREDITS:  31–34

+ - 4 + 1 Integrated Undergraduate Program

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.

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.

PREREQUISITE COURSES

MATH 350 Differential Equations
CPSC 350 Data Structures
MATH 360 Math Probability
MATH 361 Statistics

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


See the Course Catalog for course descriptions.

+ - Faculty

Meet our math, physics and computation core faculty.

To search for a specific faculty member, please visit our searchable faculty directory.

+ - Admission

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.

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)

MS Computational and Data Sciences applicants must achieve a minimum score of:

  • TOEFL: 550 (PBT) or 80 (iBT)
  • IELTS: 6.5
  • PTEA: 53
  • CAE: Level C1

8.  Complete and submit the International Supplemental Application Guide



Practical Training
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). 

S.T.E.M. 
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 sams@chapman.edu /(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.

PREREQUISITE COURSES

  • Differential Equations
  • Data Structures
  • Probability and Statistics
All prerequisite courses must be met by the end of the first semester.


FINANCIAL INFORMATION
2016/2017 Tuition Information
 - ALL COSTS LISTED IN THIS SECTION ARE SUBJECT TO CHANGE WITHOUT NOTICE.

Tuition per credit - $1,445

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 Graduate Financial Aid at gradfinaid@chapman.edu or (714) 628-2730.

ADMISSION DEADLINE

MS in Computational and Data Sciences:
Priority Admission: January 15, 2017
Regular Admission: May 1, 2017

See the Academic Calendar for semester start and other dates.


Prospective Student FAQ

Contacts - You are always welcome to contact the Program Assistant, Robin Pendergraft, pendergr@chapman.edu / 714-997-6993 and the Program Director, Dr. El-Askary, elaskary@chapman.edu / 714-289-2053.
NOTE:  Please include pendergr@chapman.edu on email to our admissions and international student’s offices when it is appropriate.

Admission – please contact Monica Chen, our admissions coordinator, at mchen@chapman.edu or 714-289-3590 regarding your application, scheduling a campus visit or other non-program specific questions.
Apply by May 1st  - Apply Now

International Students – View our international student’s admissions page for information regarding applying to Chapman -
http://www.chapman.edu/admission/undergraduate/international-students.aspx

Tuition - Contact Student Business Services at 714-997-6617 for information regarding tuition, fees, billing & payments.  Please note that program staff are prohibited from discussing financial information.

Federal Financial Aid - For more information, email

  • gradfinaid@chapman.edu or call (714) 628-2730.  The FAFSA must be filed by March 2nd.   Must be enrolled at least half time to qualify for federal loans.  This means 4.5 units.   If students are interested in receiving loans, they must complete the appropriate applications.

Housing - For graduate student housing options, contact Housing and Residence Life at (714) 997-6603. 

Are scholarships available?  Yes, Schmid College offers tuition support to a select number of students each semester (fees and other university charges are not covered).  Scholarships are awarded based on the application materials submitted.  There is no separate application process for scholarships awarded by Schmid College.  In order to be eligible, students must submit application materials by the May 1st deadline.  Students will receive award notification at time of acceptance.  We also have opportunities for paid research and teaching assistantships for qualified students.   

When can I start?  Due to the nature of the courses, we strongly suggest starting in the fall semester.  Possible exceptions are*: 
 -
Students with a very strong computational background who can waive out of Computing for Scientists, which is a prerequisite to the rest of the program and is only       offered in fall.
 -
Students who need prerequisites before beginning the MS.  Some applicants who are strong in the sciences, but lack a solid background in math and computer science, are given the opportunity to take undergrad courses at Chapman to build their skills in areas they may be lacking.
*Please let us know if you feel you fit into either of those categories and would like to start in spring.

Can I transfer courses?
M.S. students  - Up to 6 credits may be accepted as transfer credit
Ph.D. students - Up to 30 credits completed toward an M.S. degree may be accepted as transfer credit.

+ - FAQ

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 sams@chapman.edu 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 sams@chapman.edu 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 sams@chapman.edu or (714) 997-6829, with any questions.

  • Featured
  • News
  • Events
  • page loading
    TODAY TOMORROW

    »

    TODAY TOMORROW

    »

    TODAY TOMORROW

    »

    View all News »
  • page loading
    TODAY TOMORROW

    »

    TODAY TOMORROW

    »

    TODAY TOMORROW

    »

    View all Events »

Contacts:

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

Robin Pendergraft
Program Assistant
pendergr@chapman.edu
(714) 997-6993

Monica Chen
Graduate Admissions Counselor
mchen@chapman.edu
(714) 289-3590

Graduate Financial Aid
gradfinaid@chapman.edu
(714) 628-2730

Susan Sams
International Student & Scholar Services Coordinator
sams@chapman.edu
(714) 997-6829