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Program Bulletin: Course Work
If you have a background in mathematics and are looking to earn a master’s degree full or part time, Marquette’s applied statistics master's 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.
Years to Complete
Accelerated Degree Program
*30 credit hours and 2 years to complete is based on Plan A. For non-thesis (Plan B) credit hours, see the Graduate School Bulletin.
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.
Who is this program suited for?
This program meets the needs for:
In addition to coursework, students also take a statistical consulting practicum course. The practicum is intended to give students practical, hands-on statistical consulting training. The MS in applied statistics program produces graduates who can deal with big data, perform statistical analysis to detect hidden patterns in data, perform risk factor analysis and perform predictive analysis.
We know finding time to earn your master's degree can be tough. That's why with our MS in applied statistics program, we work to fit your busy schedule. You can enroll in the program with full-time, 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.
Admission to this program will be based on a sufficient formal mathematics and/or statistics background and a previous experience with programming. The applied statistics program can accommodate students from a wide variety of disciplines. These include undergraduate degrees in:
An undergraduate degree in the above fields is not necessary since the main criterion for admitting the students will be their ability to grasp complex mathematical ideas. A minimum mathematics requirement includes:
For example, a student with an undergraduate degree in economics and grades above B+ in calculus 1 and calculus 2 in addition to courses in economics and linear algebra may be suitable for the applied statistics program.
What can you do with a master's in applied statistics?
Typical careers with this degree include:
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This program has rolling admission, which means you may apply any time before the following dates:
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:
Read all application instructions prior to beginning an application.
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.
For a comprehensive listing of merit-based aid (graduate assistantships/fellowships), visit the department financial aid web page. 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.