Yale University Fully Funded PhD in Statistics and Data Science
PhD @Yale University posted 2 days agoJob Description
Yale University offers a fully funded PhD program in Statistics and Data Science through its Department of Statistics and Data Science. This program provides comprehensive training in areas such as statistical theory, probability, information theory, bioinformatics, machine learning, and statistical computing.
Program Overview
-
Degree: PhD in Statistics and Data Science
-
Institution: Yale University
-
Department: Statistics and Data Science
The program is designed to prepare students for careers in academia, industry, and government by providing a solid foundation in both theoretical and applied statistics. Students engage in coursework, research, and teaching to develop a comprehensive understanding of the field.​
Funding Package
All admitted PhD students receive a comprehensive funding package that includes:​
-
Tuition and Fees: Full coverage of tuition costs (e.g., $49,500 for the 2024–2025 academic year)
-
Stipend: An annual stipend to cover living expenses (e.g., $49,538 for the 2024–2025 academic year)
-
Health Insurance: Comprehensive health coverage for students and their families
This funding is typically guaranteed for a minimum of five years, contingent upon satisfactory academic progress.​
Admission Requirements
-
Academic Background: A strong foundation in mathematics and statistics, including coursework in advanced calculus, linear algebra, and probability theory.
-
Standardized Tests: GRE scores are optional; however, strong quantitative scores can enhance an application.
-
English Proficiency: For non-native English speakers, TOEFL or IELTS scores are required unless the applicant has completed a degree at an institution where English is the primary language of instruction.
-
Application Materials:
-
Online application form
-
Statement of purpose
-
Three letters of recommendation
-
Transcripts from all post-secondary institutions attended
-
Resume or CV
-
