Master's and PhD in Computational Mathematical and Statistical Sciences

Computational mathematical and statistical sciences (CMPS) is the discovery, implementation, simulation and application of models to solve scientific and engineering problems. 

The diverse research opportunities in our department are enhanced by the research programs of associated faculty on the Marquette campus in the sciences and engineering and Milwaukee-area research laboratories and clinics.

30

Credit Hours*

2

Years to Complete**

FP

Full-time, Part-time Options

 

 

 

 

 

*30 credit hours for MS, Thesis or Essay options, 57 credits hours for PhD

**2 years to complete for MS, 5 years to complete PhD

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Is This Program Right For Me? 

The graduate program intends to target people with an interest in computational aspects of science and engineering, applied mathematics, and applied statistics. A typical student would have an undergraduate degree in mathematics, computer science, engineering, or natural science with a minor in mathematics and some coursework in software development (e.g., programming in a high-level language like C++, FORTRAN95, MATLAB, or Java).

  • The master's degree program accommodates students whose objectives are either the master's degree or preparation for doctoral study in some aspect of CMPS.
  • The doctoral program is designed for individuals of outstanding ability who show promise as researchers. See where some of our Doctoral graduates are now

Choosing Marquette University

Our program is designed to equip graduates with a distinctive blend of theoretical and computational skills, for employment in industry, research laboratories and institutions of higher education. While the bulk of their coursework will be undertaken in this Department, their research topics may range across the computational aspects of a broad spectrum of disciplines.

Unique program

A relatively small number of programs with the same overall goals exist in this country. Most have a similar title, although their focus varies, quite naturally, according to the resources available to them. Nonetheless, each offers students the opportunity to work within a setting wherein the ultimate goal is the solution of a scientific problem using state-of-the-art computational techniques.

Transition from MS to PhD, seamlessly

Students that excel in the MS program that decide to apply for PhD program and are accepted may seamlessly enter the doctoral studies since both share our computational mathematical and statistical sciences core.

Paths to meaningful research

The doctoral program is designed for individuals of outstanding ability who show promise as a researcher. The diverse research opportunities in our department are enhanced by the research programs of associated faculty on the Marquette campus in the sciences and engineering and Milwaukee area research laboratories and clinics. For a listing of department research and research laboratories, please consult the Faculty webpage.

Learning Outcomes

Master's program learning outcomes:

  • Apply advanced concepts related to discipline coursework to solve theoretical or applied problems.
  • Synthesize research publications in their area.
  • Demonstrate communication skills appropriate for presenting research to peers and interdisciplinary colleagues.

Doctoral program learning outcomes:

  • Modify, adapt or construct methods, techniques and software for addressing significant problems in the field of computational mathematical and statistical sciences.
  • Conduct original research that results in a major written scholarly work in the computational mathematical and statistical sciences.
  • Synthesize research publications in their area of specialization.
  • Demonstrate communication skills appropriate for presenting research to peers, teaching college-level courses, or collaborating with interdisciplinary colleagues.

For all program requirements and course work, see the Graduate School program bulletin

Career Opportunities

Graduates from the master's program in computational mathematical and statistical sciences have assumed careers as software developers and data scientists, with position titles "Data Science Team Lead", "Software Developer" and "Data Science & Analytics Sr. Analyst" and more.  


 Take the first step towards your future

I'm ready to Apply

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  • Application Information
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Ready to learn more about Marquette's master's in computational mathematical and statistical sciences program? Request more information now or schedule a campus visit.

Graduate Program Recruiter

Tim Carter

phone: (414) 288-7139

email: timothy.carter@marquette.edu


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Application Deadline

The priority deadline for review of applications is January 15 for both the master's and doctoral programs for the following fall term. After the priority admission deadline, applications will be reviewed on a rolling basis as space permits.

Application Requirements

Read all application instructions prior to beginning an application.

  • A completed online application form and fee
  • Copies of all current and previous college/university transcripts except Marquette1
  • Three letters of recommendation addressing the applicant's academic qualifications for graduate study in the intended program
  • For doctoral and all international applicants: GRE scores  (General test only)
  • For international applicants only: TOEFL score or other acceptable proof of English proficiency
  • For doctoral applicants only: English-language publications authored by the applicant, including a master's thesis or essay, if applicable (optional, but strongly recommended)

1Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record. 


Prerequisites for Admission

Admission to the master's program: Requires an undergraduate degree in mathematics, statistics or a related field such as computer science, engineering or an area of science, with at least a minor (3 courses beyond a full calculus sequence) in mathematics and proficiency in a high-level computer language.

Admission to the doctoral program: Requires (in addition to the prerequisites for master's admission) demonstrated promise for original research.

For a comprehensive listing of merit-based aid (graduate assistantships/fellowships), visit the departmental financial aid webpage. Private scholarships may also be available. U.S. citizens and permanent residents may be eligible to apply for need-based federal aid (loans) to help fund their educational expenses as well.