Program Overview
This doctoral program in Statistics focuses on statistical theory and research methods, preparing students for careers in academia or industry. It includes coursework in data analysis, mathematical statistics, and advanced statistical inference. Admission requires a qualifying exam, dissertation proposal, and defense. Graduates can pursue careers as researchers, statisticians, data scientists, and more in fields such as academia, industry, and healthcare.
Program Outline
Degree Overview:
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.
Outline:
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.
Assessment:
An admission-to-candidacy exam, dissertation proposal and dissertation defense are required.
Teaching:
Receive mentorship from a faculty full of experts in the field of statistics with extensive research and teaching experience. 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.
Careers:
Potential Careers: Faculty, Researcher, Statistician, Data Scientist, Data Analyst, Consultant.
