The Master of Applied Statistics (M.A.S.) program at Pennsylvania State University aims to provide its graduates with broad knowledge in a wide range of statistical application areas.
Graduate instruction and research opportunities are available in most areas of statistics and probability, including linear models, nonparametric statistics, robustness, statistical computing, analysis of count data, multivariate analysis, experimental design, reliability, stochastic processes and probability (applied and theoretical), distribution theory, statistical ecology, and biometrics.
Graduate students can gain practical experience in the application of statistical methodology through participation in the department's statistical consulting center and collaborative research activities. In addition, collaborative projects with other departments provide longer term experience and support for selected students.
- Graduates shall demonstrate conceptual and practical knowledge of the broad aspects of Statistical analysis techniques. The core areas of Applied Statistics (Regression Analysis, Design of Experiment, Analysis of Variance, Analysis of Discrete Data, MANOVA, and many more) will be explored.
- Graduates will be able to apply the statistical analysis techniques they learn to real problems. They will demonstrate proficiency in the working with others as a data analyst in a team setting, as well as in broad areas of data processing, data visualization, statistical analysis and interpretation of the statistical results. Students will also demonstrate adequate professional preparation for drawing sound conclusions and creating reports to aid in making decisions as data analysts and applied statisticians.
- Graduates will demonstrate skills in communicating statistical findings and reports in a group setting and through oral presentations. They will be trained on development of recommendation reports, and discussion of consulting solutions.
- Graduates will be able to demonstrate critical thinking skills when reviewing scientific papers, literature and numerical reports. They will be trained to have a firm grasp of statistical thinking and sound understanding of statistical conclusions.
- Graduates will demonstrate knowledge of interpersonal working dynamics, ethical professional conduct and the ability to perform in a team environment. They will participate in professional networking, and engagement in professional activities and organizations serving the discipline and the industry.
- Applied Statistics
- Regression Methods
- Analysis of Variance and Design of Experiments
- Design of Experiments
- Analysis of Discrete Data
- Applied Multivariate Statistical Analysis
- Sampling Theory and Methods
- Epidemiologic Research Methods
- Applied Data Mining & Statistical Learning
- Design and Analysis of Clinical Trials
- Applied Time Series Analysis
- Regression Analysis and Modeling
- Design and Analysis of Experiments
- Theory of Statistics
- 12 months
Start dates & application deadlines
- Apply before , International
DisciplinesMathematics Public Health Statistics View 519 other Masters in Statistics in United States
- Scores from the Graduate Record Examinations (GRE), or from a comparable substitute examination accepted by a graduate program and authorized by the dean of the Graduate School, are required for admission.
- Entering graduate students in statistics for whom English is not the first language are required to take the TOEFL (Test of English as a Foreign Language) examination.
- While applications from all students (including those who already have done graduate work) are reviewed, completion of a standard calculus sequence is regarded as a prerequisite.
- Students with a 3.00 or better junior/senior average (on a 4.00 scale) and with appropriate course backgrounds will be considered for admission.
International39248 USD/yearTuition FeeBased on the tuition of 39248 USD per year during 12 months.
National23082 USD/yearTuition FeeBased on the tuition of 23082 USD per year during 12 months.
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