Application Deadline: Rolling Admission
Full-Time: Yes | Online Options: No
Mathematical and Statistical Sciences Department
Tuition Cost Per Credit: $1,360.00
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Attend Our Information Session: October 9, 2024Join us for an Information Session for our Applied Statistics Program. You will have an opportunity to meet with the Director of the Program and the Graduate Admissions Counselor as we discuss program highlights, curriculum and the application process. There will be plenty of time for Q & A, so have your questions ready. The Information Session will be held on Wednesday, October 9, 2024 at 4:00 PM. Please RSVP at the link below. We look forward to seeing you there! |
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.
Credit Hours
Months to Complete*
Accelerated Degree Program
*Can be completed in as soon as 12 months based on a full-time student.
See the Graduate School bulletin for more information.
Program Highlights
With our courses, students develop skills that give them a competitive edge in the workplace. Classes including modern data topics in Regression Analysis, Computational Probability, Statistical Simulation, Design of Scientific Experiments, and Statistical Machine Learning 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.
Full-time, dedicated students can complete the degree in as little as 12 months.
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.
Flexible Learning
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 Prerequisites
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.
Applicable Careers
Typical careers with this degree include:
Our M.S. in applied statistics 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.
Ready to learn more about Marquette's master's in applied statistics program? Request more information now or schedule a campus visit.
Tim Carter
phone: (414) 288-7139
email: tim.carter@marquette.edu
*required field
To be eligible for admission to the Graduate School at Marquette University, applicants must meet the following requirements:
Admission to the applied statistics program will be based on a sufficient formal mathematics and/or statistics background and previous experience with programming. This program can accomodate students from a wide variety of disciplines, including mathematics, statistics, engineering, economics, and finance. An undergraduate degree in the above fields is not necessary. However, two semesters of calculus and additional higher level mathematics coursework is required. If the applicant does not have sufficient mathematics and/or statistics in their background, they can be admitted and be required to complete prerequisite coursework in the first semester of their program.
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.
This program has rolling admission, which means you may apply and submit all application materials any time before the following dates:
Applicants who wish to be considered for merit-based financial aid (graduate assistantships/scholarships) should be aware of the merit-based financial aid deadlines by which all applicant materials must be received by the Graduate School:
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.