Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
PhD
Major
Data Analysis | Probability Theory | Statistics
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


Statistics, Ph.D.

McCausland College of Arts and Sciences

Take your statistics expertise to the next level by studying statistical theory and cutting-edge research methods. A doctoral degree can prepare you for a rewarding career in industry or academia.


Become highly sought after in a number of different fields, whether teaching statistics at the university level, conducting independent research or leading data analysis in business or industry. Our flexible program serves students with bachelor's or master's degrees with statistical or mathematical training. Stipends cover tuition and health insurance for Ph.D. candidates.


Program Highlights

  • An Expert Faculty

Receive mentorship from a faculty full of experts in the field of statistics with extensive research and teaching experience.


  • Interdisciplinary Approach

Earn a well-rounded education, as well as opportunities to apply statistical methods in various fields of study.


  • Comprehensive Curriculum

Master statistical principles, data analysis techniques, statistical modeling and cutting-edge statistical methodologies.


  • State-of-the-Art Facilities

Use computing resources and specialized software to conduct advanced statistical analyses and simulations.


What You’ll Study

Study both statistical theory and application. Courses include data analysis, mathematical statistics, linear statistical models, statistical computing, probability theory and advanced statistical inference. An admission-to-candidacy exam, dissertation proposal and dissertation defense are required.


Building Skills

Gain the professional and personal intelligence it takes to have a successful career.


  • Advanced Statistical Modeling

Applying advanced techniques to interpret data, uncover patterns and make predictions for complex phenomena


  • Data Analysis

Examining and interpreting information to uncover insights and inform decision making


  • Statistical Computing

Using computational methods to analyze and process data, perform statistical calculations and generate meaningful insights


  • Scientific Writing

Communicating scientific research and findings in a clear, accurate and compelling manner


  • Collaboration

Working with others to achieve a common goal or objective


  • Problem Solving

Identifying, analyzing and resolving problems or challenges using creative and effective strategies


Using your degree

Make your college experience the foundation for a successful future.


  • Potential Careers

    • Faculty
    • Researcher
    • Statistician
    • Data Scientist
    • Data Analyst
    • Consultant
  • Workplace Settings

    • Academia
    • Industry
    • Government
    • Healthcare
    • Finance
    • Technology

Faculty members in the program offer personalized mentorship, and individualized attention to ensure that students receive the education and support they need to achieve their academic and career goals.


Juexin Lin


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