Graduate Programs in Mathematical Statistics

Throughout their careers, graduates of programs in mathematical statistics will help solve problems through data analysis and application of mathematical and statistical techniques. Students have a variety of degree options to choose from depending on which industry they are interested in working in. Schools offering Mathematics degrees can also be found in these popular choices.

Comparing Graduate Programs in Mathematical Statistics

Master of Science in Applied Statistics

Completion of a Master of Science (M.S.) in Applied Statistics can lead to a career as a statistical analyst in academia, the government or within the industry itself. Students will be trained to utilize statistical methods and software to draw meaningful and valid conclusions from data. To enter into an M.S. in Applied Statistics program, students may need to complete courses in subjects like calculus, linear algebra, probability and mathematical statistics and meet the minimum GPA requirement during their undergraduate program. If students have not completed the prerequisite mathematics courses, they may complete these courses outside of their undergraduate program, but these must be completed before admission into the program. Students must complete 30 units of course work and either fulfill the thesis/project requirement or complete two examinations to earn their degree. An M.S. in Applied Statistics can be completed in four semesters.

Master of Applied Statistics

Master of Applied Statistics (MAPST) programs prepare students for a career as an applied statistician or a Ph.D. in statistics. Admission into the program is based on a combination of strong aptitude scores in their Graduate Record Examination (GRE)/grades in prior college courses and a background in applied sciences with an understanding of calculus and linear algebra. Students typically must complete 30-35 credit hours to graduate. In addition to their credit hours, some programs add an option to write a thesis or complete a special problem using statistical methodology. Students are often also required to pass final examinations and present a departmental seminar.

Master of Science in Statistics with a specialization in Computational Finance

An M.S. in Statistics with a specialization in Computational Finance can lead to a career in the financial industry including investment consultant, fixed-income researcher, risk analyst, quantitative analyst and financial product design. Prospective students are required to provide proof of their diploma and GRE scores to be considered for admission to this program. The M.S. is typically finished in two years after completing around 30 required credits. Students will take courses in computational science, mathematical and investment finance and gain a thorough understanding of various quantitative aspects.

Master of Science, Biostatistics

An M.S. program in Biostatistics will prepare students for a career as a biostatistician, data scientist, statistician, data analyst or teacher. At a minimum, students require a baccalaureate degree or equivalent and competition of the requested mathematical prerequisites. Upon graduation, students will know how to evaluate problems in biostatistics, apply biostatistical methodology, explain biostatistical concepts and utilize biostatistical software to interpret the results. Students may take courses in subjects like informatics, probability and statistical inference.

Doctor of Philosophy in Systems Modeling and Analysis

Doctor of Philosophy (Ph.D.) in Systems Modeling and Analysis prepares students for a career analyzing real-world systems using mathematical and computational skills. Students will be able to contribute to scientific advancement by developing their skills in statistics, mathematical biology, discrete mathematics and operations research. To apply, aspiring students will typically need to have completed specific undergraduate units, mathematics prerequisites and have a minimum score on the GRE. To graduate, students will take a certain number of credits (usually 50-60), complete their portfolio, preparation and do a dissertation. If students enroll in the program full-time, they can complete it in four years.

Degree ProgramProgram LengthProgram RequirementsRelated Careers
Master of Science in Applied Statistics 2 years *Undergraduate degree
*Prerequisite mathematics courses
*Statistical Analyst
Master of Applied Statistics 2 - 3 years *Undergraduate degree
*Applied Statistician
Masters of Science Statistics Degree with Specialization in Computational Finance 2 years *Diploma
*Investment Consultant
*Fixed-income Researcher
*Risk Analyst
*Quantitative Analyst
*Financial Product Design
Master of Science, Biostatistics 2 years *Baccalaureate degree or equivalent
*Requested math prerequisites
*Data Scientist
*Data Analyst
Doctor of Philosophy in Systems Modeling and Analysis 4 years *Undergraduate degree
*Requested math prerequisites
*Scientific Development
*Data Modeller
*Mathematical Statistician

Students who possess an undergraduate degree and are interested in using mathematical and statistical techniques to solve problems might consider applying for a graduate degree in mathematical statistics. Depending on their area of interest, students will have a variety of options to choose from and will be able to enroll in graduate programs that will prepare them to work in the industry.

To continue researching, browse degree options below for course curriculum, prerequisites and financial aid information. Or, learn more about the subject by reading the related articles below:

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