The Ph.D. program in Statistical Science at UC Santa Cruz focuses on developing and applying statistical methods to understand and quantify variability in data. Students will gain a deep mastery of fundamental statistical theory and methods, alongside essential analytical and computational skills. The program aims to equip students to build modern statistical models, implement them, and effectively communicate their findings. Graduates will be prepared to conduct independent research in statistical science, emphasizing novel methods and applications.
While specific English language proficiency scores are not detailed on the program page, international applicants will need to meet the university's general requirements. The program is designed for students with a strong foundation in mathematics and statistics.
Tuition and fees at UC Santa Cruz are determined by residency status. International students are typically classified as non-residents. Specific tuition and cost of living figures are not provided on the program or fees pages. Applicants should consult the official UC Santa Cruz Registrar's Office for the most current financial information. To establish residency for tuition purposes, students must complete the Statement of Legal Residence (SLR) and provide supporting documents by specific deadlines. Failure to do so may result in being charged non-resident tuition.
A bachelor's degree in computer science, engineering, mathematics, natural sciences, physics, or statistics is required. Essential coursework includes calculus (single and multivariate), linear algebra, introductory statistics, and introductory calculus-based probability and statistical inference. Proficiency in a programming language like R or Python is also necessary.
Tuition and fees for international students are determined by residency status. Specific figures are not provided on the program pages, and applicants should consult the UC Santa Cruz Registrar's Office for the most current financial information.
The program requires nine core courses, including research and teaching seminars, and four elective courses from an approved list, totaling 58 non-seminar credits. Students can also earn an M.S. degree upon completion of its requirements.
The application period typically opens in the fall for admission the following academic year, with specific graduate application deadlines to be confirmed with Graduate Admissions. The Statement of Legal Residence (SLR) submission deadline is June 6 for priority review, and July 1 for document submission for residency determination.
Required documents generally include transcripts, letters of recommendation, a statement of purpose, and GRE scores if applicable. International applicants must also provide proof of English proficiency and complete the Statement of Legal Residence (SLR) with supporting documents.
Graduates are prepared for careers in research, academia, and industries requiring advanced statistical expertise, including roles in data analysis, modeling, and interpretation.