PhD in Statistics at Pennsylvania State University
    Go to Pennsylvania State University

    PhD in Statistics at Pennsylvania State University

    Pennsylvania State University
    Pennsylvania State University
    United States of America
    United States of America, University Park
    University Rank:#82
    PhD in Statistics at Pennsylvania State University

    Study Statistics at Pennsylvania State University, a PhD degree offered across its University Park and World Campus campuses in United States of America. This Full Time program is delivered on campus in English and takes approximately 4 years to complete. Students benefit from a structured learning experience designed to build both theoretical knowledge and practical experience. The next intake is scheduled for June 1, 2027.

    About PhD in Statistics

    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. Most students gain valuable teaching experience by assisting in the teaching and grading of courses. In addition, Ph.D. students with proper qualifications can receive support for teaching undergraduate courses.

    The Master of Applied Statistics (M.A.S.) program is a professional degree designed to provide training in statistics focused on developing data analysis skills, and exploration of all core areas of applied statistics, without going deeply into the mathematical statistics foundations. It aims to provide its graduates with broad knowledge in a wide range of statistical application areas.

    The Doctor of Philosophy (Ph.D.) and Master of Science (M.S.) degrees in Statistics are designed for advanced studies in applied and theoretical statistics. Special emphases include biostatistics, statistical ecology, environmental statistics, genometrics, biometrics and statistical computation. The M.S. degree is appropriate preparation for the department's Ph.D. degree.

    1. 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. 
    2. 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.
    3. 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.
    4. 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. 
    5. 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.

    1. Graduates shall demonstrate in-depth and advanced knowledge and understanding in statistics core areas of  probability, statistical inference, modeling and computing. The core demonstration will include the application of these principles to problems in various contexts such as genetics, medicine, biology, environmental studies, and social and behavioral sciences, that are crucial for the practice of modern statistics.
    2. Graduates shall demonstrate, at a level appropriate to a departmental colloquium, (i) knowledge of several outstanding problems or questions in diverse sub-fields of statistics, (ii) the experimental and theoretical origins of these problems, and (iii) the principle efforts proposed or underway to address them, including demonstrating critical thinking skills when reviewing scientific papers, literature and numerical reports.
    3. Graduates shall demonstrate the ability to communicate professionally, in written and oral form, research work and conclusions of statistical findings to statistical experts and non-expert audiences.
    4. Graduates shall demonstrate (i) knowledge and understanding of professional standards of ethics and conduct, (ii) the ability to analyze situations to identify the standards that should apply including performing in a team environment, and (iii) describe how they may be appropriately acted upon. They will participate in professional networking, and engagement in professional activities and organizations serving the discipline and the broader scientific community and the industry.
    5. Graduates shall have a specialty area within the broad domain of statistics, within which they shall demonstrate (i) advanced knowledge and understanding of the primary literature, (ii) the ability to analyze and judge new contributions to the primary literature, (iii) the ability to pose complex research problem(s) and identify the knowledge and methodologies required to address them, and (iv) the ability to apply that knowledge and those methodologies to create new knowledge and/or develop new theories and methods that advance (or show the potential to advance) knowledge and understanding within the specialty area, and to another discipline where their findings are applicable.

    Requirements and Admission Criteria for PhD in Statistics at Pennsylvania State University

    Entry Requirements

    Degree Requirements and Academic Credentials:
    4-6 year Bachelor's Degree.
    Official transcript; official certification of degree and date awarded; documents required in English only. Documents must be issued by the school with the official stamps and signature.

    English Requirements

    • IELTSMin 6.5
    • TOEFLMin 80

    Tuition and Fee Information for PhD in Statistics at Pennsylvania State University

    Application Fee 75

    How to Apply for PhD in Statistics at Pennsylvania State University

    Provide all information as it appears on your government-issued identification.

    To create a unique account for you, and to match you to any existing academic or employment records you may already have at Penn State, we need to know some information about you. This information is confidential and not made available to other systems at Penn State unless required by an official business process. Examples of government-issued identification include a driver's license, state-issued photo identification card, passport, etc.

    PhD in Statistics at Pennsylvania State University
    Pennsylvania State University
    Pennsylvania State University
    United States of America

    United States of America, University Park

    WhatsApp student consultation with YouApply