MS in Health Data Science

A minimum of a bachelor's degree (BA/BS) or the equivalent from an accredited institution is required.

Unofficial transcripts may be submitted for review purposes only. Final official transcripts must be submitted upon matriculation if an offer of admission is made.

Letters of recommendation should be written by individuals who are familiar with the nature of your preparation for this program and who can provide insight into your potential to succeed as a graduate student, researcher, and scientist, or summer undergraduate researcher (for SRTP/Summer Intern applicants).

You are welcome to share any other information that is not included in your CV or elsewhere in your application that might be relevant for the admissions committee to know, such as: What unique characteristics you bring and can contribute to a cohort of Health Data Science students. If you have below a 3.0 GPA or if there is an area of potential concern in your transcript or CV, please address any extenuating circumstances. The University of California, San Francisco is committed to a diverse and inclusive graduate student population. Diversity refers to the variety of experiences and perspectives that arise from differences in race, culture, religion, mental or physical capabilities, heritage, age, gender, sexual orientation, and other characteristics. UCSF values diversity because it enhances the educational experience, the workplace, and services to the public provided by this campus.

Resume/Curriculum Vitae (CV)

Please provide a succinct response for each of the four questions below. Each response should be limited to 500 characters maximum (approximately 75-85 words). The suggested topics under each question are guidance for your response, not separate questions to answer individually. 1. Program Fit and Motivation Why are you pursuing the UCSF Health Data Science Masters or Certificate program specifically? Suggested topics to address: What drew you to health data science as a field? How does UCSF's program align with your specific goals and interests? What unique aspects of our curriculum, faculty, or research opportunities make this the right fit for you? 2.Technical Preparation and Academic Background Describe your quantitative and technical preparation for graduate-level health data science coursework. Suggested topics to address: Relevant coursework in statistics, mathematics, computer science, or related fields Experience with programming or data analysis (if any) Any other relevant skills or experiences you’d like to share 3.Research Interests What are your research interests in health data science, and how have your experiences prepared you for graduate research? Suggested topics to address: Specific areas within health data science that interest you most Research experience, publications, or significant projects (if any) Preliminary ideas for capstone research (if any) 4.Career Goals and Program Outcomes What are your career aspirations, and how will this program help you achieve them? Suggested topics to address: Your post-graduation career goals (academia, industry, clinical research, etc.) Specific skills, knowledge, or experiences you hope to gain from the program How you will apply health data science methods in your intended career path If your goals are still developing, how you see this program helping you clarify your direction