There are many online master's degree programs in applied statistics which will prepare students for a wide variety of careers, in fields like economics, business analysis, and data science. We will explore some of the elements that are common to these programs, including typical courses and admission requirements.
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Online Master's Degrees in Applied Statistics
Online programs for master's degrees in applied statistics typically consist of around 30 credit hours which can be completed in as little as one year, though some programs provide students with the flexibility of completing classes on a part-time basis which take more time to obtain the degree. Below, we will look at five different courses that are common to many of these online programs.
In a course that focuses on regression methods, students will learn about various regression analysis methods. This includes working with both simple and multiple regression, like t-tests and ANOVA, as well as logistic regression. Other topics likely covered in this course include goodness of fit, confounding, and polynomial models.
In this course, students will gain an understanding of how to work with various statistical software programs, which are heavily used in the field of statistics. They will likely learn how to use SAS, or Statistical Analysis System, in order to manage data, run predictive analysis, and perform various other statistical analysis tests. These degree programs may include both introductory and advanced courses in working with SAS and other statistical software.
Master's degree programs in applied statistics often include a course that focuses on probability. During this course, students will learn about probability theory, like the law of large numbers and central limit theorems. They will also explore topics like random variables, joint and conditional distributions, and how to use probability principles in statistical analysis.
In a course that focuses on nonparametric methods and statistics, students will gain an understanding of various nonparametric concepts in statistics. This could include scatter-plot smoothing, nonparametric inferential techniques, chi-square tests, and correlation. Students will work with data sets in order to test their skills in nonparametric statistics.
A course in experimental design is also commonly found in master's degree programs in applied statistics, as it covers topics in how to properly set up viable experiments in order to obtain usable statistical data. Students will learn how to use SAS when designing their experiments and various methods that are used in statistical analysis experiments, like the analysis of variance and covariance, along with balanced and unbalanced designs.
Admission Requirements for Online Master's Degrees in Applied Statistics
To qualify for admission to master's degree programs in applied statistics, all applicants will need to possess a bachelor's degree from an accredited undergraduate institution. While the bachelor's degree can be in any field, these programs do require that students have already taken a significant number of courses in mathematics and statistics in order to be prepared for graduate-level coursework. In general, this includes taking at least several courses in calculus, as well as courses in linear algebra and statistics. Students will also need to submit their undergraduate transcripts, an application form and fee, resume, personal statement, and letters of recommendation. GRE scores are often required as well as TOEFL or IELTS scores for applicants who are non-native speakers of English.
For students who are interested in applied statistics, taking an online master's degree program may allow flexibility in terms of time and location. The various courses available in applied statistics will also allow them to further develop their skills in this field and increase their employability.