Statistics and Data Science, Ph.D.

I. Contact Information

Anna Panorska, Graduate Program Director
Davidson Mathematics and Science Center 222
(775) 784-6773
ania@unr.edu

II. Brief Introduction

The Department of Mathematics and Statistics offers a doctoral program in Statistics and Data Science to provide training in the fundamental methods and concepts of modern statistics and the emerging statistical area of data science. The program emphasizes interdisciplinary collaborative research, which is intrinsic to statistics and data science. The program builds research and computational skills that position students to be competitive in pursuing careers at academic institutions, pharmaceutical companies, research institutions, corporations, government agencies, and as private consultants.

III. Program Objectives/Student Learning Outcomes

Students will

1. Develop the advanced computational skills necessary to solve applied problems involving data.
2. Attain a deep understanding of the theory of statistics and data science sufficient to critically evaluate research done by others.
3. Demonstrate the ability to do independent research and to communicate the results of this research, both orally and in writing.
4. Acquire breadth of knowledge and the skills necessary to successfully collaborate or consult in a professional setting.

IV. Admission Requirements

Applicants must meet all degree admission requirements of the Graduate School. In addition, applicants must submit Graduate Record Examination (GRE) scores and arrange for three letters of recommendation from people familiar with the applicant’s academic record and potential for advanced work in statistics and data science. The completion of a Master’s degree in mathematics or statistics prior to enrollment in the doctoral program is strongly recommended. All international students must comply with the appropriate Graduate School requirements. In particular, applicants whose native language is not English must include a TOEFL or IELTS score. For application deadlines and further information, please visit the Program website.

V. Program Requirements

Candidates for the Doctor of Philosophy degree must satisfy all general requirements of the Graduate School. Before being admitted to candidacy, the student must complete at least 75% of the non-elective, non-dissertation coursework, and have passed a comprehensive examination on graduate level material in statistics. The following courses or their equivalents must be satisfactorily completed for the doctoral degree in statistics and data science.

• MATH 713 - Abstract and Real Analysis (3 units)
• STAT 705 - Probability Theory (3 units)
• STAT 706 - Probability and Measure (3 units)
• STAT 725 - Mathematical Statistics I (3 units)
• STAT 726 - Mathematical Statistics II (3 units)
• STAT 735 - Linear Models I (3 units)
• STAT 736 - Linear Models II (3 units)
• STAT 745 - Computational Methods in Statistics (3 units)
• STAT 753 - Stochastic Models and Simulation (3 units)
• STAT 755 - Multivariate Data Analysis (3 units)
• STAT 756 - Survival Analysis (3 units)
• STAT 758 - Time Series Analysis (3 units)
• STAT 760 - Statistical Learning (3 units)
• STAT 799 - Dissertation (1 to 24 units)
• Approved 700-level electives, based on research interests (9 units)

VI. Total Credits (72 units)