Training Next-Generation Health Data Scientists

Class Schedule

The MDSH program caters to working professionals by providing a convenient schedule of classes. Through this highly cost-effective program, students are able to maintain their full-time working schedule and professional income. Combining in-class sessions and distance learning education, the 20-month program is intended to be fast-paced and demanding. The goal is to create a student-centered and supportive environment that produces unlimited opportunities for career success.

Two-Year Program Schedule

MDSH students typically take 2 courses per quarter and complete the program in 6 academic quarters (20 months).

YearFall QuarterWinter QuarterSpring Quarter
1BIOSTAT 203A Data Management and Statistical Computing

BIOSTAT 201A Introduction to Biostatistics
BIOSTAT 203B Data Science in R

BIOSTAT 212A Statistical Learning
BIOSTAT 203C Data Science in Python

BIOSTAT 212B Statistical Learning
2PUBHLT C201 Public Health

Elective 1
Elective 2

Elective 3
Elective 4

BIOSTAT 401 Capstone

Quarter Schedule

In each academic quarter with two courses, MDSH students take in-person classes on UCLA campus for three weekends and two online, synchronous sessions per week for seven weeks.