MA in Mathematics: Statistics

Our Master of Arts in Mathematics provides an opportunity to pursue advanced study in mathematics and develop the skills to help lead you to success in today's technologically-oriented society.

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Why choose Rowan's statistics mathematics program?

Our Master of Arts in Mathematics provides an opportunity to pursue advanced study in mathematics and develop the skills to help lead you to success in today's technologically-oriented society.

Whether the goal involves applying mathematics to solve problems in business and industry, teaching in higher education, preparing for further graduate study in mathematics or related fields, or working in a rapidly the growing field of big data analysis as a statistician, this program enables each student to pursue a course of study that is appropriate for their interests.

To address these varying interests, we offer three concentrations: Pure Mathematics, Applied Mathematics, and Statistics.

Key considerations

Quick Facts

30

Credits

Application Deadlines

7/1

Fall Entry Term

11/1

Spring Entry Term

4/1

Summer Entry Term

Studying statistics mathematics at Rowan

What You'll Learn

The Statistics Concentration shares three (nine S.H.) core courses with the other two Concentrations. Each has its own required courses, restricted electives, and free electives. The required and restricted electives are concentration specific, and those for the Statistics Concentration are listed in the table below. We note that the Free Electives for one concentration can come from the Required Courses or Restricted Electives of the other concentrations.

  • 10 Courses / 30 Semester Hours
  • Foundation Courses: No
  • Graduation / Exit / Thesis Requirements: Optional

Required Core Courses: 9 S.H.

Course Number Title S.H. (Credits)
MATH 01502 Linear Algebra and Matrix Theory 3
MATH 01505 Probability & Mathematical Statistics I 3
MATH 01533 Mathematics Seminar (Non-thesis option) 3
MATH 03612 Masters Thesis (Thesis option) 3

Required Courses: 9 S.H.

Course Number Title S.H. (Credits)
STAT 02510 Introduction to Statistical Data Analysis 3
STAT 02511 Statistical Computing 3
STAT 02515 Applied Multivariate Data Analysis 3

Restricted Electives: 6 S.H.

Course Number Title S.H. (Credits)
STAT 02513 Applied Stochastic Processes 3
STAT 02525 Design and Analysis of Experiments 3
STAT 02530 Applied Survival Analysis 3
STAT 02585 Introduction to Bayesian Statistical Methods 3
MATH 01506 Probability and Mathematical Statistics II 3

Elective Courses: 0-6 S.H.

Course Number Title S.H. (Credits)
MATH 01500 Foundations of Mathematics 3
MATH 01503 Number Theory 3
MATH 01504 Introduction to Mathematical Logic 3
MATH 01507 Differential Geometry 3
MATH 01515 Engineering Applications of Analysis 3
MATH 01522 History of Mathematics 3
MATH 01523 Selected Topics in Mathematics 3
MATH 01525 Modern Geometry 3
MATH 01526 Point Set Topology 3
MATH 01603 Analytic Number Theory 3
MATH 03512 Operations Research II 3
MATH 03550 Topics in Discrete Mathematics 3
MATH 03610 Applied Statistical Epidemiology 3
MATH 03611 Special Topics in Biomathematics 3
STAT 02514 Decision Analysis 3

Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan Global section tally.

Admission Requirements

The following is a list of items required to begin the application process for the program. There may be additional actions or materials required for admission to the program. Upon receipt of the materials below, a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or will indicate any missing items.

  • Completed Application Form
  • No application fee required
  • Bachelor's degree (or its equivalent) from an accredited institution of higher learning
  • Official transcripts from all colleges attended (regardless of number of credits earned)
  • Current professional resume
  • Typewritten statement of professional objectives
    • Provide reasons for pursuing the program. Describe how you might use this program to advance your career (educational goals beyond the master's level, if applicable, are also relevant).
      Two letters of recommendation
    • Letters of recommendation should be from professional administrators and include information which attests to applicant's ability to pursue a graduate degree
  • Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
  • Applicants are expected to have completed at least 16 semester credits at the undergraduate-level in Mathematics, including subjects such as Calculus through Vector Analysis and Linear Algebra.
    • For those planning to pursue the Pure Mathematics track, applicants must have completed Differential Equations in addition to upper-level undergraduate mathematics including Modern Algebra and Introduction to Real Analysis.
    • For those planning to pursue the Applied Mathematics track, applicants must have completed Differential Equations. Computer programming skills are highly recommended.
    • For those planning to pursue the Statistics track, applicants must have completed a basic statistics course.

Tuition and Aid

At Rowan University, we pride ourselves on being vigilant and frugal about tuition. We work hard to provide quality education while seeking to reduce the barrier that college costs can present students.

We know paying for tuition can be a challenge. That is why Rowan provides students with the financial resources needed to put their education first by offering grants, loans, work-study, and scholarships.

Explore tuition information, scholarships and financial aid resources to learn how we can support you.

Careers and outcomes

If you are interested in advancing your career as a mathematician or statistician, you have chosen a rapidly-growing field, and Rowan can put you at the forefront. In fact, the U.S. Bureau of Labor Statistics projects that employment for mathematicians and statisticians will grow 30 percent between 2018 - 2028.

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Upcoming virtual information sessions and events

Rowan University hosts a series of on-campus and virtual events throughout the year to help you get to know us. From general information sessions, to program specific meetings with advisors, to webinars on timely and thought-provoking topics, these gatherings provide an excellent opportunity to ask questions, network with academics and future students, and learn from some of the most innovative and informed faculty in higher education today.
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From helping you find the right program to understanding how to apply, we’re here to make sure you get the information you need. Fill out the form to get started!
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