The Master of Science (MS) in Data Science in Biomedicine program at UCLA provides advanced training in data science techniques specifically applied to the field of biomedicine. This program equips students with the skills to analyze complex biological and health-related data, fostering innovation in research and clinical practice. It is designed for individuals seeking to leverage data-driven approaches in biomedical discovery, diagnostics, and therapeutics.
The curriculum focuses on developing a strong foundation in data science methodologies and their application to biomedical challenges. Specific coursework will be detailed upon admission.
The Admissions Subcommittee evaluates applicants based on coursework related to the chosen area of study, relevant work experience, Statement of Purpose, and letters of recommendation.
Tuition and fees can vary for professional and self-supporting degrees. Consult the UCLA Registrar's Office for specific program breakdowns. Fee remissions may be available for eligible graduate students.
The annual tuition for non-California residents, which includes international students, is approximately $36,297. This figure is subject to change, and students should consult the UCLA Registrar's Office for the most current breakdown of fees.
Applicants need a bachelor's degree with a minimum GPA of 3.0 in their last two years of undergraduate study. Demonstrated strong technical ability through a relevant degree or work experience is also required.
You must complete the UCLA graduate application and submit supporting documents like transcripts, a Statement of Purpose, and letters of recommendation. The application deadline for Fall intake is December 15.
Minimum scores for TOEFL/IELTS are required, but specific scores are not listed here. Prospective students should refer to UCLA Graduate Admissions for the exact score requirements.
Graduates are prepared for roles in various biomedical and data science fields, leveraging their skills to analyze complex biological and health-related data.
Merit-based support such as fellowships and assistantships are available and may be awarded based on academic achievement. Financial need-based support is primarily for U.S. citizens and permanent residents.