Master's and PhD in Computational Mathematical and Statistical Sciences

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. 

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.

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

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.  

Our computational mathematical and statistical sciences program is a STEM-designated program, which means international students are eligible to apply for 36 months of Optional Practical Training, allowing employers to potentially hire international students for up to three years instead of only one.