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Applied Statistics Master's Program
If you have a background in mathematics and are looking to earn a master’s degree full or part time, Marquette’s Applied Statistics program maybe the perfect fit. Whether you’re a recent graduate or a working professional seeking career advancement, a master of science in applied statistics will help you develop strong data analytics skills that can be applied in a variety of fields.
Courses with Real-world Applications
With our courses, students develop skills that give them a competitive edge in the workplace. Classes including Data Mining, Simulation, and Numerical Analytics provide students with the know-how to succeed in various careers.
Along with our required courses, students also take a practicum course in Statistical Consulting, providing hands-on statistical consulting training. In turn, our program produces graduates who can deal with big data and perform statistical, risk factor and predictive analysis.
Flexible Master's Program
We know finding time to earn your master's degree can be tough. That's why with our M.S. in Applied Statistics program, we work to fit your busy schedule. You can enroll in the program with part-time and evening courses.
Admission is not restricted to students with a mathematics degree. The only prerequisites are a sufficient formal mathematics and/or statistics background and previous experience with programming. This means those with an undergraduate degree in finance, economics, engineering and other similar degrees are an excellent fit for this program.
Get Involved with the Department
As a graduate student in Marquette's M.S. in Applied Statistics program, you'll enjoy all the Department of Mathematics, Statistics and Computer Science (MSCS) has to offer. The department features research labs directed by our helpful faculty. Each semester, we also host engaging guest speakers for students to network with and learn from.
For more information on student resources, visit the department web page.
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This program has rolling admissions, which means you may apply any time before the following dates:
- Fall term admissions- August 1 (June 1 for international applicants)
- Spring term admissions- December 15 (October 15 for international applicants)
These are the dates your application must be complete and all required documentation must be received in the Graduate School by these dates.
However, applicants who wish to be considered for merit-based financial aid (graduate assistantships/fellowships) should be aware of the merit-based financial aid deadlines by which all applicant materials must be received by the Graduate School:
- Fall (August) Term: February 15
- Spring (January) Term: November 15
- Summer (May) Term: April 15
Read all application instructions prior to beginning an application.
- A completed application form and fee online.
- Copies of all current and previous colleges/universities except Marquette.*
- An essay outlining relevant work experience or education, career goals, possible areas of interest, and reasons for seeking admission to this program.
- Three letters of reference from professors or professionals familiar with the applicant's abilities, academic work and/or professional background.
- For students applying for merit-based financial aid: GRE scores (General test only).
- For international applicants who have not attended an English-speaking university only: TOEFL score or other acceptable proof of English proficiency.
*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.
For a comprehensive listing of merit-based aid (graduate assistantships/fellowships), visit the department 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.