Master's and PhD in Computational Mathematical and Statistical Sciences

Computational Mathematical and Statistical Sciences is the discovery, implementation, simulation and application of models to solve scientific and engineering problems.

The master's degree program accommodates students whose objectives are either the master's degree or preparation for doctoral study in some aspect of the computational sciences.

The doctoral program is designed for individuals of outstanding ability who show promise as researchers in an interdisciplinary environment.

The diverse research opportunities in our naturally interdisciplinary 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, 57 credits hours for PhD

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

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Who is this program suited for? 

The 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).

Why choose Marquette University's program? 

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.

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 with which they are blessed. Nonetheless, each offers students the opportunity to work within an interdisciplinary setting wherein the ultimate goal is the solution of a scientific problem using state-of-the-art computational techniques.

A distinctive feature of our program is that all core aspects of a student’s program of study, constituting in general the first two years of study, are undertaken within our one interdisciplinary department. Thus the program benefits from the synergies that result while avoiding the administrative and philosophical obstacles frequently confronted by programs that cross academic divisions.

In addition, students that excel in the M.S. program that decide to apply for Ph.D. program and are accepted may seamlessly enter the doctoral studies since both share our computational sciences core.

The doctoral program is designed for individuals of outstanding ability who show promise as a researcher in an interdisciplinary environment. The diverse research opportunities in our naturally interdisciplinary 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 web page.

Learning Outcomes

Masters’ 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 sciences.
  • Conduct original research that results in a major written scholarly work in the computational 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.

Doctoral Requirements

 

The total program, exclusive of dissertation (12 credits of MSCS 8999), will contain a minimum of 45 credit hours of approved course work beyond the bachelor’s degree, including the 18-credit computational sciences core (MSCS 6010-MSCS 6060), and at least 2 credits of MSCS 6090 (Research Methods/Professional Development).

Computational Sciences Core

  • MSCS 6010, Probability, and MSCS 6020, Simulation.
  • MSCS 6030, Applied Mathematical Analysis, and MSCS 6040, Applied Linear Algebra.
  • MSCS 6050, Elements of Software Development, and MSCS 6060, Parallel and Distributed Systems.

Twelve hours of dissertation credit is also required. Approved programs of study will normally include 6 credits of courses outside the department and no more than 12 credits in 5000 number courses.

In completing the PhD. in Computational Sciences, students can also fulfill the requirements for the M.S. in Applied Statistics or the M.S. in Bioinformatics.

Master's Requirements

Under Plan B, a student completes an approved 30 credit hour program of study and an essay. Of the 30 credit hours, 18 are the Computational Sciences Core (MSCS 6010-6060). A thesis option (Plan A) is also available.


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Ready to learn more about Marquette's Master's in Computational Science 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 Marquette
  • 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)

*Upon 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. 


Admissions Requirements

Admission to the program requires an undergraduate degree in mathematics, statistics, computer science, or a related field such as 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. Knowing that few individuals are trained in all facets of computational sciences, we have designed our distinctive computational sciences core to provide the breath of background in mathematics, statistics and computer sciences to pursue computational sciences research. Admission to the doctoral program also requires 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.