MS in Health Data Science - On-Campus

Year at a Glance

• The academic year is divided into four terms. 
• Throughout the academic year, students will take core and elective courses, with core coursework emphasizing topics in programming, biostatistics, and classification algorithms, including machine learning. Students have the option to enroll in a 10-week capstone after completing the 12 months of coursework.
• Students need to complete a minimum of 15 units to graduate; core courses are required, and students can choose from several elective options to complete their degree. 
• Students take classes full time, with approximately 55 hours per week combined course work and class-time 
• The optional capstone leverages real-world data and scenarios to provide intensive training and practice within the field.

Academic Calendar

To see the days and times that courses are offered by term for the MS in Health Data Science Accelerated On-Campus program: 

View the full 2024-2025 academic calendar