UC Santa Cruz is interested in a diverse and inclusive graduate student population. In an essay, discuss how your personal background informs your decision to pursue a graduate degree. Include any educational, familial, cultural, economic, or social experiences, challenges, or opportunities relevant to your academic journey; how you might contribute to social or cultural diversity within your chosen field; and/or how you might serve educationally underrepresented segments of society with your degree.

UC Santa Cruz is interested in a diverse and inclusive graduate student population. In an essay, discuss how your personal background informs your decision to pursue a graduate degree. Include any educational, familial, cultural, economic, or social experiences, challenges, or opportunities relevant to your academic journey; how you might contribute to social or cultural diversity within your chosen field; and/or how you might serve educationally underrepresented segments of society with your degree.

Why Statistical Science? Students in the Statistical Science program learn to develop and use statistical methods to provide a probabilistic assessment of the variability in different data structures. This knowledge is applied to the quantification of the uncertainties inherent in the discoveries, summaries, and conclusions that are drawn from the data analysis. The Ph.D. program provides mastery of fundamental concepts in statistical theory and methods, as well as analytical and computational skills to build modern statistical models, implement them, and effectively communicate their results. Through the process of learning these skills, the students develop the ability to conduct independent research. The M.S. program has its own identity, placing emphasis on the application of statistical methods to the solution of relevant scientific, technological and engineering problems, with the goal of preparing students for professional careers. An accelerated B.S./M.S. ("4+1") pathway is available for UCSC undergraduate students. Questions regarding the application process can be directed to the Graduate Advisor. Questions regarding the Statistical Science curriculum and research by Statistics faculty can be directed to the Graduate Director.

Why Electrical and Computer Engineering? The Electrical and Computer Engineering (ECE) Department at UC Santa Cruz aims to achieve engineering discoveries that benefit humankind through a combination of curiosity, open-mindedness, and inclusiveness. We aim to provide graduate students with inspiration and quality education, believing that rigor, creativity, and excitement should be part of the Electrical and Computer Engineering curriculum.

Social Documentation Program (SocDoc) is a one-of-a-kind program designed for future documentarians committed to social change and documenting communities, cultures, issues, and marginalized individuals in our current landscape of representation. SocDoc goes beyond the story.

The Ocean Sciences Department offers a master of science (M.S.) degree in ocean sciences. The ocean sciences M.S. degree can be attained through the plan I: thesis (coursework and thesis, minimum 44 credits), or plan II: examination (coursework and written examination, minimum 42 credits).

The Applied Economics & Finance program offers a Master of Science degree. ​UC Santa Cruz is interested in a diverse and inclusive graduate student population. In an essay, discuss how your personal background informs your decision to pursue a graduate degree. Include any educational, familial, cultural, economic, or social experiences, challenges, or opportunities relevant to your academic journey; how you might contribute to social or cultural diversity within your chosen field; and/or how you might serve educationally underrepresented segments of society with your degree.

Why SciCAM? The Department of Applied Mathematics offers an M.S. program in scientific computing and applied mathematics (SciCAM). SciCAM students learn a combination of cutting-edge computational methods for modern high-performance computing architectures and applied mathematical modeling. The M.S. is ideally suited to meet the increasing need for graduates in the rapidly growing markets of computational mathematics and modeling, and high-performance computing. Such computationally knowledgeable and experienced modelers are highly sought after in industry and government agencies.