Applied Statistics Master’s Degrees

The Culverhouse College of Commerce at the University of Alabama has a Master of Science in Applied Statistics with two tracks: analytics and statistics. Students must complete 30 credits, with half the credits specific to the individual track. Students in the analytics track take courses in data management and data mining. To earn the degree, students must pass either a comprehensive exam or a professional exam such as the SAS Predictive Modeler Exam. Applicants should have a bachelor's degree with a GPA of 3.0 or higher, and they do not have to have majored in business as undergrads. Applicants are required to submit GRE scores. The admissions committee also considers the applicant's statement of purpose, recommendations, and professional achievements.

The University of Arizona has a program leading to a Master of Science in Agricultural and Resource Economics with a major in Applied Economics and Policy. This thesis-only program prepares students for a doctoral program or for a job in a field such as agribusiness, consulting, or government. Students take 24 credits in coursework, including 12 credits in core classes. The rest of the courses can be used to create a specialization. Applicants must have a bachelor's degree with a 3.0 or higher GPA, with undergraduate coursework in intermediate microeconomic and macroeconomic theory, calculus, and statistics. They must submit GRE scores, three recommendations, statement of purpose, and resume. Students enter the program in the fall and typically complete the degree in three or four semesters.

California State University Long Beach offers a Master of Science in Applied Statistics through its College of Natural Science and Mathematics. To earn the degree, students must complete at least 30 credits and complete a culminating activity. As a culminating activity, a candidate can pass two comprehensive written exams; write and defend a thesis; or complete a statistical project with an industrial sponsor and present a final report and oral presentation about the project. For the statistical project, the student must be an employee of the company and the project must be related to his or her job. Applicants are required to submit transcripts and a prerequisite worksheet in applied statistics. GRE scores are recommended but are not required.

Stanford University's Department of Statistics and Institute for Computational and Mathematical Engineering jointly offer a Master of Science in Statistics with a Data Science track. The curriculum requires 45 quarter credits. No thesis is required, but students must complete a practical component that could include a capstone project, master's research project, project lab, or consulting workshop. Applicants should have a strong background in math and statistics. Students interested in data science should have already taken courses in linear algebra, probability, and numerical methods, and should be proficient in programming. All applicants are required to submit GRE scores, statement of purpose, transcripts, and three letters of recommendation. Students enter the program in the fall and can typically complete the degree in five quarters.

Colorado State University offers a Master of Applied Statistics that can be earned 100 percent online. The degree requires 31 credits, and full-time students can complete the work in one year. Part-time students typically complete the degree in two years. Students start the program during the summer term, when they take two non-credit prerequisite courses. Candidates end the program with a six-week capstone consulting course where they gain skill in applying what they have learned to an issue in any industry. Applicants must have a bachelor's degree and an academic record that includes three semesters of calculus, a course in linear algebra and at least one undergraduate statistics course. Applicants must also submit Math Entrance Exam scores, which are preferred, or GRE scores.

The University of Colorado Denver has a Graduate Certificate in Applied Statistics that is designed for students who want to gain a background in data analysis for their job or to prepare for graduate school. The curriculum requires 13 credits, including two core courses, an advanced applications course, an elective, and a project that requires independent analysis which the student will present in a report and presentation. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. While the degree does not have to be in math, applicants must have at least 24 credits in math, including 18 credits in upper-level math courses. Prerequisites includes three semesters of calculus, linear algebra, and probability.

The Department of Statistics and Data Science at Yale University offers a Terminal Master of Arts in Statistics that gives students a broad overview of statistical theory. Students must complete eight courses, which they select after consulting with the director of graduate studies. All students must take classes in probability theory, statistical theory, and working with real data. Applicants should have a bachelor's degree in a field that involves a strong mathematics background, such as math, statistics, or computer science. They should have taken classes in advanced calculus, linear algebra, probability theory, and mathematical statistics. Applicants must submit general GRE scores and scores for the GRE subject test in the field closest to their undergraduate major.

The Department of Applied Economics and Statistics at the University of Delaware offers an online program leading to a Master of Science in Applied Statistics. This is a 30-credit program that requires candidates to complete five core classes and five restricted electives. Applicants should have a bachelor's degree with a GPA of 2.5 overall and at least 3.0 in math courses. Applicants are required to submit GRE scores, transcripts from all colleges attended, a personal statement, and three letters of recommendation. Students may enter the program in the fall, spring, or summer semester.

Florida State University offers a Master of Science in Statistics with a major in Statistical Data Science that has a focus on hands-on training and practical application of methods and technology. As part of the program, students can earn SAS certification. This is a 32-credit program, and students can complete it in three semesters. For their capstone course, students do a statistical consulting project. Applicants must have a bachelor's degree with a GPA of 3.0 or higher; the last entering class had an undergrad GPA of 3.3. Applicants must have completed three semesters of calculus, linear algebra, and at least one course each in applied statistics and probability. GRE scores are required. Students start the program in the fall.

The University of South Florida has a Graduate Certificate in Statistical Data Analysis that is designed for professionals working in fields such as medicine, biological sciences, engineering, or business who need the skills to design experiments, analyze data, or otherwise interpret numerical information. This is a 15-credit certificate that requires students to complete four classes and an independent study. Classes are offered at the Tampa campus, and students should be able to finish the work for the certificate in five semesters. Up to 12 credits from this certificate may be eligible to be applied to a graduate degree. Applicants must have a bachelor's degree with a 3.0 GPA and must submit GRE scores. There are no prerequisites.

Working professionals who want additional training in applied statistics can complete an Online Certificate in Applied Statistics using R through Kennesaw State University. This program is self-paced and requires students to complete five courses. For each course, students will receive video and audio recordings, printed material, data for practice, and self-assessment tests. After completing the work for each course, they must take a proctored exam, either at the Kennesaw State campus or through a proctor in their home area. A cumulative exam is required at the end. The program is open to working professionals who have some background in basic statistics. Applicants should have completed at least one course of college algebra or a higher math. The courses in this program do not carry college credit.

Kennesaw State University offers an Online Certificate in Applied Statistics using SAS designed for working professionals who need more training in applied statistics. The program is self-paced and requires students to complete five courses. Course materials include audio and video recordings, printed materials, data that can be used for practice, and self-assessment tests. After completing each course, students must take a proctored exam, either at Kennesaw State or with a local proctor. There is also a cumulative test at the end. Students have remote access to Base SAS while in the program. Applicants should have a basic understanding of statistics and data analysis and some background using SAS. No courses in this program can be applied to the M.S. in Applied Statistics at Kennesaw State.

Students who earn a Master of Science in Applied Statistics from Loyola University Chicago choose from two specializations: biostatistics or general applied statistics. Students must complete 29 credits, including 17 credits in core classes and 12 credits in electives, plus a capstone statistical consulting course. To gain practical experience, students can also help Loyola University researchers analyze data in a wide range of fields. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. Loyola does not limit undergraduate majors that are accepted, but program prerequisites include two semesters of calculus and a course in statistics. However, accepted students may be required to take additional foundation coursework, such as multivariable calculus and linear algebra. Applicants must submit GRE scores.

Students earning a Master of Science in Mathematics: Applied Statistics from IUPUI can select either a thesis or a non-thesis option. The thesis option requires five core courses, three restricted electives, and a thesis. The non-thesis option includes five core courses and five restricted electives. All candidates must pass a comprehensive exam covering the core coursework. Applicants must have a bachelor's degree with a 3.0 GPA, but the program is open to qualified students with any undergraduate major. Prerequisites include a course sequence in univariate and multivariate calculus and a course in linear algebra. GRE scores are optional unless a student is seeking financial aid through the program. Applicants must submit a personal statement, resume, and three references.

Purdue University's Department of Statistics has an online Graduate Certificate in Applied Statistics designed for scientists in any field who want to acquire an in-depth background in statistics. The coursework is also appropriate for people in industry who want to increase their understanding of statistics. Applicants must have an undergraduate degree with a GPA of at least 3.0. The curriculum includes four courses, or 12 credits, in statistics classes. Before beginning the program, students must meet the prerequisite of coursework in statistical methods and in applied regression analysis, which may be met by taking two classes through Purdue or by equivalent coursework.

The University of Notre Dame offers a program leading to a Master of Science in Applied and Computational Mathematics and Statistics with a specialty in Applied Statistics. Students select courses that match their career interests, thereby creating an emphasis such as biostatistics or statistical computing. The curriculum requires students to complete 10 courses, and students can earn the degree in 11 months. Students enter the program in June and take two courses in the summer semester, four in the fall semester, and four in the spring semester. Applicants must have a bachelor's degree in a field such as statistics, math, engineering, or science and must have passed their statistics and probability courses with a grade of B or higher. GRE scores are required.

Students who earn a Master of Science in Applied and Computational Mathematics and Statistics with a specialty in Applied Statistics from Notre Dame University can tailor the program to their professional interests through electives or by substituting classes. For example, students can create an emphasis on statistical computing or biostatistics. This intensive, 11-month program requires students to earn 30 credits. Applicants must have a bachelor's degree in a field such as math, statistics, engineering, or science and must have passed courses in probability and statistics with a grade of B or higher. Applicants must submit GRE scores, a statement of intent, resume, transcripts, and three letters of recommendation. Students start the program in June and complete it at the end of the spring semester.

ENSAI in Rennes, France, offers a Master of Science in Statistics for Smart Data, a program that combines statistics and computer science and that is taught entirely in English. The program is designed to prepare students with theoretical and practical knowledge. The curriculum requires students to complete one semester of coursework, followed by a four- to six-month internship, which can be completed in any country and in industry or the academic world. Students who do not speak French begin the program with intensive French lessons before the semester begins in September. Applicants must have a bachelor's degree with a strong grounding in statistics, math, and advanced computer science. Students whose degree is not from a European Union school must submit GRE or GMAT scores.

The University of Hong Kong has a Master of Statistics program that allows students to follow a general curriculum or to specialize in risk management or in data analytics. This is a 60-credit program, taught in English, that full-time students can complete in one year and part-time students can complete in two years. Courses for full-time students are taught during the day, while classes for part-time students are scheduled on weekday evenings or on Saturdays. Applicants must have the equivalent of a bachelor's degree with honors and must know calculus and matrices. Full-time students must have taken courses in statistics and linear algebra. Before entering the program in September, students may have access to courses or tutorials reviewing math and data management skills.

The University of St. Andrews offers a one-year program leading to a Master of Science in Applied Statistics and Datamining. The curriculum includes six compulsory modules and one elective module. Additionally, all students are required to complete a 15,000-word dissertation. Students who successfully complete the classwork but who choose not to complete the dissertation will receive a Post-Graduate Diploma in Applied Statistics and Datamining at the end of two semesters of study. Applicants must have a bachelor's degree in math, statistics, or a related field. The program requires applicants to have a GPA of 3.0 or higher. The university does not require GRE or GMAT scores. Students enter the program in September.

Students and professionals who need to develop a background in statistics can earn an online Graduate Certificate in Applied Statistics through Kansas State University. The curriculum requires students to complete at least five graduate-level courses, which can be selected from eight courses offered by the Department of Statistics. Students are allowed to apply up to three credits in coursework taken in another department or at another university toward the certificate. Applicants must have a bachelor's degree with a GPA of 3.0 or higher earned in upper-division coursework. Students can enter the program in the fall, spring, or summer semester.

The University of Kansas has an online Master of Science in Applied Statistics and Analytics with two options for an area of emphasis: data analytics or statistics. This 30-credit program includes five core classes, two classes in the emphasis area, and three electives. All candidates must pass the Applied Masters Comprehensive Exam to complete their degree. Applicants should have a 3.0 or higher GPA for their bachelor's degree. Students with a lower GPA may receive provisional admission. Students who enter the program must have received a B or higher in two semesters of calculus and must be proficient in a programming language, either through classwork or work experience. GRE scores are required. Students may enter the program in the fall, spring, or summer semester.

Students who enter the Master of Science in Applied Computing program at Eastern Kentucky University can select Statistical Computing as their area of concentration. The curriculum requires students to complete 30 credits, including 12 credits in core requirements. Statistical computing students take 12 credits in the concentration and six credits in electives. Candidates must pass a comprehensive exam to earn their degree. Courses for this degree are scheduled on weekday evenings. Applicants must have a bachelor's degree with a GPA of 2.75 overall or 3.0 for the last 60 credits earned. All applicants must submit GRE or GMAT scores. After a review of their transcripts, students will be notified if they have to take prerequisite coursework.

The online Master of Applied Statistics program at the University of Kentucky is designed to provide students maximum flexibility, including the option to finish the degree in just a year or to spread study out for two, three, or four years. The curriculum requires students to complete 11 courses, including 17 credits in required courses and 13 credits in guided electives. Applicants must have a bachelor's degree but no specific major is required. However, applicants must have successfully completed two semesters of calculus and a statistical methods course before entering the program. Applicants must submit GRE scores, and no transfer credits may be applied to this degree. Students can only enter the program in the fall semester.

The University of Southern Maine has a program leading to a Certificate in Applied Statistics. This program is designed for individuals who use statistics in fields such as business, industry, education, or government, and it is also helpful for students who need advanced undergraduate coursework in statistics before entering a master's program in statistics. The curriculum requires students to complete two required courses and four electives selected from a menu of approved math courses. Classes for this program are offered in the late afternoon to meet the schedules of working professionals. This certificate program is housed in the Math Department, whose chairperson handles applications to the program.

The University of Southern Maine offers a Certificate in Applied Statistics that is designed for professionals working in business, education, or government who need to gain skills in applied statistics. The program also welcomes undergraduate students who want to take advanced undergraduate coursework in statistics to prepare for a master's program. To accommodate working professionals, all classes for this program are scheduled in the late afternoons. The curriculum requires students to complete six courses. The two required courses are introduction to probability and statistical inference. After completing those classes, students select four electives from a list of approved courses. Adult students need to submit transcripts from high school and any colleges attended, resume, and personal statement.

Students earning a Master of Science in Statistics from the University of Southern Maine can choose a data science track. The curriculum requires students to complete 30 credits, and data science majors must take five required courses, with the rest of the credits in electives. Students have the option of seeking an internship for academic credit and of writing a master's thesis or completing a master's project. Candidates have six years to complete the requirements for the degree. Applicants should have a bachelor's degree in in a field such as math, statistics, engineering, computer science, education, or business. Prerequisite courses include calculus II, introduction to probability, and statistical inference. Applicants must submit essay, resume, and official transcripts.

Students in the online Master of Science in Applied Economics program at Johns Hopkins University can tailor their electives to concentrate in areas such as financial economics and the macroeconomy, spatial economics, environmental economics, health economics, or quantitative methods. The 10-course curriculum includes five electives, and part-time students can complete the program in about two years. Applicants should have a GPA of 3.0 or higher in undergraduate work. Applicants should have completed introductory courses in microeconomics and macroeconomics and at least one semester of calculus. CLEP exams can substitute for these courses. GRE scores are not required. Students entering with only one calculus course must take a prerequisite math course. Students may enter the program in the fall, spring or summer semester.

Johns Hopkins University offers a Post Master's Certificate in Quantitative Methods in Applied Economics that allows professionals with an advanced degree to update or expand their knowledge. Students can complete the four-course program in an entirely online format. Applicants should have a master's degree in economics or statistics, and they otherwise must comply with the admission requirements for the Master of Science in Applied Economics, which include submitting recommendations, a resume, official transcripts of all college work, and a statement of purpose. Students may start the program in the fall, spring or summer semester. To earn the certificate, students must successfully complete four courses selected from a list of nine acceptable courses.

Boston University has a Master of Science in Statistical Practice designed to provide training in statistics and its application to real-world problems in a variety of fields. This 32-credit program requires students to complete eight courses and two practicums in statistical practice. The summer before entering the program, all students must attend a math boot camp to review the skills needed for the coursework. The program is open to students with diverse backgrounds, including math, statistics, economics, engineering, biology, bioinformatics, and other quantitative fields. Applicants should have a foundation in calculus and statistics and some proficiency in computing, such as ability to use R. A background in probability and linear algebra is also helpful. All applicants must submit GRE scores.

Central Michigan University has a Graduate Certificate in Data Mining to provide training in the basics and applications of data mining for students from diverse academic backgrounds. This one-year program includes courses in math, computer science, and geographic information systems. Students in this program gain experience with current real-world applications. Students must complete 15 to 18 credits, including three core courses, to receive the certificate. Applicants must have a bachelor's degree with a GPA of 3.0 or higher, but any undergraduate major may be acceptable as long as the student has completed a course in statistics. Applicants are required to submit GRE scores.

Students in the Master of Science in Applied Statistics and Analytics program at Central Michigan University choose a track: applied statistics or analytics. For this two-year program, students must complete 30 to 36 credits, depending upon whether they need to complete two prerequisite courses. All students take 18 credits in core courses and nine credits in the concentration. All candidates must complete a practicum or internship, which could involve a research project, consulting, or other options. Applicants must have a bachelor's degree with a 3.0 GPA and must have completed at least 12 credits in math with a 3.0 or higher average. They must have taken calculus II, linear algebra, and a course in statistics or probability. GRE scores are recommended.

Eastern Michigan University offers a Master of Arts in Applied Statistics. To earn the degree, students must complete 31 to 34 credits, including 15 credits in core classes, 14 or 15 credits in restricted electives, and two to four credits in thesis or research study. Applicants must have a bachelor's degree with a GPA of 2.75 or higher. The program prefers students who majored in math or statistics for their undergraduate degree. However, the program accepts other applicants who have completed a course in multivariable calculus, a course in calculus-based probability and statistics, and a mathematics proof course. Applicants must have earned a GPA of 2.75 or higher in all math and statistics coursework.

Michigan State University's Master of Science in Applied Statistics program emphasizes working with practical problems, including using computers effectively in statistical methodology. To earn the degree, students must complete at least 33 credits in courses offered by the Department of Statistics and Probability or in a field where statistics can be applied. Candidates must pass a master's exam unless they maintain a 3.25 GPA for all five core courses. Applicants must have a bachelor's degree, but it does not have to be in math or statistics. However, applicants should have a strong background in calculus and linear algebra and should have taken at least one calculus-based statistics and probability course. GRE scores are required. Students enter the program in the fall.

The Master of Science in Applied Statistics program at Oakland University is a 36-credit program that offers an optional concentration in biostatistics. The curriculum requires 16 credits in core classes and 20 credits in electives; biostatistics students use their electives to pursue the concentration. All students are required to complete an applied statistics project in which they solve a practical problem. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. Applicants can have pursued any undergraduate major, but prerequisites include courses in multivariable calculus, linear algebra, and statistics, as well as a background in scientific computing. Standardized test scores are not required. Students may enter the program in the fall, winter, or summer semester.

The University of Michigan has a Master's in Applied Statistics for students seeking a career in applied statistics in a range of industries. The curriculum requires all students to take at least four credits of cognate courses outside the Department of Statistics, allowing students to tailor their education to their professional interests. Cognates could include topics such as econometrics, financial statistics, or survey sampling. Overall, the curriculum requires 10 courses for a total of 30 credits, and most students take four semesters to complete the degree. The program accepts applicants with a range of undergrad majors, but all applicants must have a foundation in calculus, linear algebra, probability, and theoretical and applied statistics. Applicants must submit GRE scores. Students enter the program in the fall.

The Ph.D. in Statistics program at the University of Michigan provides flexibility so students can pursue the branch of the discipline that most interests them. All students must pass two qualifying tests - one in theory and one in applied statistics - to remain in the program, and a master's degree is embedded in the program. Students can gain consulting experience working with other campus researchers, and all candidates also work as instructors. The college weighs a variety of factors in making admissions decisions, including GPA, grades in STEM coursework, GRE scores, and research accomplishments. All Ph.D. students are guaranteed funding for five years, which is the typical time needed to earn the degree. Students start the program in the fall.

Washington University in St. Louis has a Master of Science in Data Analytics & Statistics program that is housed in the Department of Electrical and Systems Engineering. Students can choose a course option or a thesis option. The course option is designed for part-time students and those not interested in a research career, and it requires students to complete 30 credits. The thesis option is for full-time students who might be interested in doing research and requires 24 credits in coursework and a six-credit thesis. Applicants to the School of Engineering & Applied Science should have a bachelor's degree in a STEM field. Applicants who want to attend full time must submit GRE scores; part-time students do not have to submit GRE scores.

The University of Nevada, Reno, has a Ph.D. in Statistics and Data Science that emphasizes interdisciplinary collaborative research. This is a 72-credit program, including a dissertation, and students can complete the program in about four years. The program recommends that all entering students have a master's degree in math or statistics; the minimum requirement is a bachelor's degree with a 3.0 GPA. Applicants must submit general GRE scores, and it is recommended that they submit GRE math test scores as well. The application package must also include three recommendations, statement of purpose, and resume. Students may enter the program in the spring or fall semester. All students admitted to this doctoral program receive some funding.

The New Jersey Institute of Technology offers a Master of Science in Applied Statistics that students can complete on a part-time basis. The curriculum requires 21 credits in core courses and nine credits in electives. Students may choose to do an optional project or thesis, but they must also complete the 30 credit hours of classes. Applicants should have a bachelor's degree in math, statistics, engineering, physics, or chemistry with a GPA of 2.8 or higher. Applicants with a degree in a different discipline must meet math prerequisites of at least 12 credits in calculus and related math courses. GRE scores are required for anyone seeking financial aid and are encouraged for all applicants.

The University of New Mexico has a Master of Science in Applied Statistics program that includes a focus on practical, hands-on experience. To earn the degree, students must complete 35 credits, meeting minimum credit levels in four categories. Students must complete six credits in methods, three credits in consulting, 14 in theory, and four to six in research. The rest of the credits are electives. Applicants must have a bachelor's degree with a 3.0 GPA for the last two years of study. The college does not list preferred undergrad majors, but prerequisites include courses in differential and integral calculus, a statistics course, and proficiency in computing or programming. Required documents include three references, a statement of purpose, and transcripts.

Students who earn a Master of Science in Statistics from the University of New Mexico can concentrate in applied statistics. Students can choose a thesis option, requiring 26 credits and a thesis, or a non-thesis option that requires 32 credits in coursework. The curriculum requires four core courses with the rest of the credits in electives. Applicants should have a bachelor's degree in a related subject. Prerequisites include calculus through multivariable calculus, statistics, and linear algebra. Students without those prerequisites must make up the deficiency. Applicants should have an undergrad GPA of 3.0 for their last two years of undergraduate work and in their major. GRE scores are not required. Students may enter the program in the spring or fall semester.

Individuals who enter the Master of Professional Studies in Applied Statistics program at Cornell University can select a specialization in Data Science, which requires additional coursework in computer science compared to the applied statistics specialization. The curriculum requires students to complete four core courses, three required courses for the specialization, and additional electives. Students also complete an in-depth statistical analysis project. Applicants should have a bachelor's degree in a field such as math, statistics, engineering, computer science, or another quantitative discipline. At minimum, each applicant must have passed two semesters of calculus and courses in statistics and matrix algebra. Applicants are required to submit GRE scores. Students are expected to earn the degree in two semesters.

Manhattan College has a Master of Science in Applied Mathematics - Data Analytics that is designed for students who want a career in business, industry, government, or actuarial sciences. This is a 30-credit program that requires students to complete seven core classes and two electives. Students may pursue an internship or research project. All candidates must pass four master's comprehensive exams covering core areas. Full-time students can complete the program in three semesters, but part-time students are also welcome. Applicants should have a bachelor's degree in a quantitative field such as a STEM discipline with a 3.0 GPA. Applicants should have at least 18 undergraduate math credits, including differential equations, probability, and linear algebra, as well as some proficiency in computer programming.

Students interested in using quantitative research techniques in the social, health, or behavioral sciences can earn a Master of Science in Applied Statistics for Social Science Research through NYU. This is a variable-credit program, with the number of credits determined in part by a student's background in statistics. Students with a solid statistical background can graduate with 34 credits, while other students may need up to 47 credits. All students gain practical experience through a statistical consulting seminar and internship. Applicants should have a bachelor's degree with a major or minor in a quantitative field that provides an appropriate background for applied statistics. Applicants must submit GRE scores, CV, statement of purpose, and a statement about their statistical, math, or computer science background.

Rochester Institute of Technology offers an online option for students who want to earn an Advanced Certificate in Applied Statistics. The program is appropriate for scientists, engineers, analysts and other professionals who need a statistical background for their work. Applicants must have a bachelor's degree with a GPA of 3.0 and must show a background in math and statistics, including two courses in probability and statistics. GRE scores are not required but students may submit them if the scores strengthen their applications. Before entering the program, students need to be familiar with Minitab, R, or SAS statistical software. The curriculum includes two required courses plus electives for a total of 12 credits.

Students seeking a Master of Science in Applied Statistics may earn the degree online through Rochester Institute of Technology as either a full-time or part-time student. Candidates may concentrate in predictive analytics, data mining/machine learning, industrial, biostatistics, or theory. Applicants must have a bachelor's degree and should have an undergraduate GPA of 3.0 or higher. RIT does not require a specific undergrad major, but students must have had at least one year of college calculus and two courses in probability and statistics. GRE scores are not required but students may submit them if they are lacking in some requirements. The curriculum requires 30 credits, and students may complete either a capstone project or a thesis. Cooperative education options are available.

The University of North Carolina Charlotte has a Master of Science in Mathematics with a concentration in applied statistics for students who seek a career in statistical analysis. This is a 33-credit program that requires seven core classes, three electives, and a research seminar that requires students to complete an independent project. Students may choose to expand that research project into an optional thesis. All candidates must pass a comprehensive exam. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. Prerequisites include 12 credits in calculus, three credits in linear algebra, three credits in differential equations, six credits in probability and statistics, and three credits in computer programming. Applicants must submit GRE scores. Students may enter the program in any semester.

The University of North Dakota offers a Master of Science in Applied Statistics that gives students the flexibility to select classes to match their professional goals. The curriculum requires students to complete 32 credits, including 15 credits in core classes and nine to 12 credits in electives. All students must complete two statistical consulting practicums and prepare and defend a master's thesis or master's paper. All candidates are required to pass a written comprehensive exam. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. Prerequisite courses for the applied statistics degree include at least one year of calculus, a course in statistics, and proficiency in at least one programming language.

Students who enter the Master of Science in Applied Statistics program at Bowling Green State University can add a specialization in Business Analytics. The curriculum requires students to complete 39 credits. Students can choose a thesis option or take a comprehensive exam. Applicants must have a bachelor's degree, but there are no restrictions on undergraduate major. However, to enter this program, students should have passed courses in differential and integral calculus, including multivariable calculus, advanced calculus, and linear algebra. A background in statistics is not mandatory, but courses in probability and statistics are recommended. GRE scores are required. Students can start in the spring or fall semester and can generally complete this degree in four semesters.

Ohio State University offers a Master of Applied Statistics that prepares students for careers working with statistics for the government, industry, or business. The curriculum requires students to complete 33 credits, with 28 credits in core coursework and five credits in approved electives. Students usually complete the program in two years of full-time study. All candidates must pass a comprehensive exam to graduate. Applicants must have a bachelor's degree with a GPA of 3.0 or higher, and successful applicants generally have a GPA of about 3.6. The program accepts students with a wide range of undergraduate majors, but students must have completed three semesters of calculus and a course in linear algebra before they can enter the program. GRE scores are required.

Portland State University has a Graduate Certificate in Applied Statistics that is open to individuals seeking a stand-alone credential as well as to graduate students in other disciplines who need a deeper background in statistical applications. This is a 24-credit program that requires students to take seven courses and complete a statistical consulting experience. Applicants must have a bachelor's degree with a background in math and statistics as well as in a field that uses statistical methods to analyze data and solve problems. Prerequisite classes include three terms of calculus, linear algebra, and a statistical methods course. Applicants should have an undergraduate GPA of at least 2.75. GRE scores are not required. The program has a rolling admissions policy.

Penn State's World Campus and Eberly College of Science offer an online Graduate Certificate in Applied Statistics designed for professionals who want to gain skills in statistical analysis and learn industry software such as Minitab, R and SAS. Applicants should have a bachelor's degree with a minimum GPA of 3.0. Applicants should have completed at least one undergraduate course in statistics and should know matrix and linear algebra. GRE or GMAT test scores are not required for admission to this program. To earn the certificate, students must complete 12 credits, including two required courses and two electives selected based on career goals. The certificate can be a stand-alone credential or used as a first step towards a master's degree.

Students who earn the Master of Applied Statistics from Penn State online also have the opportunity to prepare for the SAS Base Programming certification exam or to become an Accredited Professional Statistician through the accreditation program offered by the American Statistical Association. The program is open to applicants who earned a bachelor's degree with a minimum GPA of 3.0. Applicants must have taken a standard three-course sequence in calculus and should know linear and matrix algebra. GRE scores are also required. Candidates can complete the 30-credit program entirely online with no need to come to campus. Typically, students complete the program in two to five years.

Villanova University offers a Graduate Certificate in Applied Statistics that is designed for individuals who work with statistics in a range of fields, from education to biotechnology. The curriculum requires students to take two core courses and three electives, allowing them to adapt the program to fit their personal or professional needs. Applicants must have a bachelor's degree and must submit a statement of purpose, two recommendations, and transcripts from previous college work. GRE scores are not required. Prerequisites for the program include three semesters of calculus (through multivariable calculus) and linear algebra. Students may not transfer credits earned at a different university to this program.

The Master of Science in Applied Statistics at Villanova University is flexible and allows students to customize the degree to match their career goals. The curriculum requires 10 courses, for 30 credits. All candidates must pass an applied statistics comprehensive exam. Students can complete the program in two years, although they have up to six years to finish the requirements. Applicants must have a bachelor's degree with a GPA of 3.0 or higher. Accepted students do not have to have majored in a related field, but they are required to have passed three semesters of calculus and linear algebra. Students without a strong math background may be required to take foundation classes. GRE scores are required. Students may enter the program in any semester.

Clemson University offers a Master of Science in Applied Economics and Statistics that is housed in the Department of Agricultural Sciences and includes courses from the Department of Economics and the Department of Mathematical Sciences. Students can select a thesis option or a non-thesis option. All students must take 12 credits in core courses and an additional 18 credits in electives and/or thesis work. Non-thesis students must prepare a technical or professional paper. All candidates must pass an oral exam. Applicants must have a bachelor's degree, although no specific undergraduate major is required. Students should have passed undergraduate courses in univariate and multivariate calculus, probability and statistics, and intermediate microeconomics. Intermediate macroeconomics is recommended. GRE scores are required.

Students in the Master of Science in Mathematical Sciences program at Clemson University devote half their coursework to a concentration area, such as Applied Statistics and Data Science. The curriculum requires students to take six courses to meet a breadth requirement and another six courses in the concentration area. Students must complete a master's project, or they can choose to prepare a master's thesis and replace two of the concentration classes with thesis research. Applicants must have a bachelor's degree and must submit GRE scores for both the general test and the math subject test. Applicants must also submit three recommendations, a statement of academic interests, and transcripts. Students may start in the fall or spring semester and generally complete the degree in four semesters.

The University of South Carolina offers a Master of Applied Statistics delivered completely online. Applicants must have a bachelor's degree with at least a 3.0 GPA. Additionally, all applicants must have had at least two semesters of engineering-style calculus, through integration, and they must have earned at least a B in those courses. GRE scores are also required. The curriculum includes five required courses and five electives in a student's area of interest, such as SAS certification or industrial statistics. All students must take comprehensive exams covering core sequences. Most students start the program in the fall semester. Students have the option to view the online classes during a live stream of the face-to-face class offered on campus or view it later.

The Ph.D. in Computational Science and Statistics program at South Dakota State University is research intensive, but coursework if flexible so students can customize the curriculum to support their research interests. Students must complete 60 credits beyond the master's, or 90 beyond the bachelor's degree. Applicants must have a master's degree, with math or statistics the preferred degrees. Students with a master's in a closely related field, such as computer science, economics, or biological sciences, should have a taken math through linear algebra and differential equations, a calculus-based statistics course, and should be proficient in a computer programming language. Standardized test scores are not required. Students enter in the fall, and some students can complete the program in three years.

Southern Methodist University offers a Master of Science in Applied Statistics and Data Analytics that has a focus on practical application of data analytics. This is a 36-credit program that requires students to complete two consulting projects through practicum at the Center for Statistical Consulting Services where they will help clients with real-world problems. Many students who complete this degree are able to use the knowledge acquired to pass SAS certification tests. Applicants must have a bachelor's degree. SMU does not specify a desired undergraduate major for applicants, but all admitted students must have taken a course in statistics and completed calculus through multivariable calculus. GRE scores are required. Candidates can finish the degree in 18 to 24 months.

Texas A&M University offers a Graduate Certificate in Applied Statistics through its online learning program. Certificates are available for several emphasis areas, and students interested in data analytics can take the program offered jointly with SAS that has an applied emphasis. The program requires students to complete 12 credit hours, or four classes. Students in the SAS program can choose from five courses. Applicants to the certificate program must have a bachelor's degree and must have passed at least two levels of calculus. They also need to know matrix algebra. Applicants must submit two professional references and a statement of purpose. Online courses follow the same calendar that TAMU uses on campus, and exams for online students require a proctor.

Students in the online Master of Science in Statistics program at Texas A&M University select an area of emphasis: Biostatistics, Applied Statistics, Applied Statistics with SAS Certification, or Business Analytics. The curriculum requires students to complete five core courses and take the M.S. Diagnostic Exam before proceeding on to the remaining coursework. Applicants must have a bachelor's degree and must have taken two semesters of calculus and a class in matrix algebra. They must also submit GRE scores. There is no requirement to attend any on-campus meetings, but students must attend a weekly online class session for each course. The 36-credit program does not require a thesis, but all students must take a seminar class, participate in a consulting class, and complete a capstone project.

Students working on a Master of Science in Applied Statistics from the University of Texas at San Antonio can use their elective courses to focus on an area such as biostatistics, financial modeling, or Big Data and analytics. The curriculum for this 33-credit program includes 18 credits in core courses. Candidates must pass a comprehensive exam to earn the degree. Applicants to the program should have a bachelor's degree in math, statistics, engineering, business, or a closely related field. Prerequisites include three semesters of calculus and a course in matrix theory or linear algebra. While not a prerequisite, the program prefers students who have taken a class in probability or statistics. Applicants must submit official transcripts and GRE scores.

George Mason's Volgenau School of Engineering has a Graduate Certificate in Applied Statistics designed for people who need to develop skills in data analysis and statistical methodology for their job in government or industry, and for graduate students in programs outside the Department of Statistics. The curriculum for this 12-credit program includes one core course and three electives selected from a menu of approved classes. Applicants must have a bachelor's degree with a 3.0 or higher GPA for their last 60 credits. The program is open to applicants with a range of undergraduate majors, but all applicants must have passed a statistics course; at least one semester of calculus is strongly recommended. Accepted students must have basic computer literacy.

West Virginia University offers a Certificate in Applied Statistics that allows students to take a specialized track in an area of study. Students take two statistical methods classes and three courses from a track. The methods classes and certain tracks are available to online students. Tracks available online include: SAS, data science, and modeling. Students can also propose a customized track. All students must complete a capstone that requires applying statistical methods to data and creating a report. Applicants for the certificate program must have a bachelor's degree with a GPA of 2.75 or higher. All applicants must have passed a college algebra course, and WVU recommends applicants complete single and multi-variable calculus classes before attempting the certificate.

Marquette University offers a Master of Science in Applied Statistics for recent graduates and mid-career professionals seeking skills to advance or change their career. Students gain hands-on experience through a statistical consulting practicum. Students can select a thesis or non-thesis option. Non-thesis students complete 30 credits of coursework, while thesis students complete 30 credits including the thesis. Applicants should have a bachelor's degree that provides a background in math or statistics, such as a degree in math, statistics, engineering, finance, or economics. At minimum, applicants must have two semesters of calculus and additional higher-level math courses. They must also have experience with programming. Students seeking financial aid must submit GRE scores. Marquette has a rolling admission policy; students can enter in the spring or fall.

The University of Wisconsin-Madison offers a one-year, on-campus program leading to a Master of Science in Statistics with an option in Data Science. This 30-credit program includes coursework in the fall and spring, with an intense practicum in using large corporate data sets over the summer. Students complete the program in 12 months and take part in team projects as well as classwork. Applicants should have a bachelor's degree with a GPA of 3.0 or higher for the last 60 credits earned. Applicants should have a degree or background in a field such as computer science, math, or engineering and should have at least three years professional experience working with data. Applicants must submit GRE scores, three recommendations, resume, statement of purpose, and transcripts.