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 ComputingBIOSTAT 203B Data Science in RBIOSTAT 203C Data Science in Python
 BIOSTAT 100A BiostatisticsBIOSTAT 212A Statistical LearningBIOSTAT 212B Statistical Learning
2PUBHLT C201 Public HealthElective 2Elective 4
 Elective 1Elective 3BIOSTAT 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 eight weeks.

WeekTuesday (online)Thursday (online)Saturday(in-person)Sunday(in-person)
 Evening (5p-7p PT)Evening (5p-7p PT)Morning (8a-12p PT)Afternoon (1p-5p PT)Morning (8a-12p PT)Afternoon (1p-5p PT)
1      
2  Course 1Course 2Course 1Course 2
3Course 1Course 2    
4Course 1Course 2    
5Course 1Course 2    
6Course 1Course 2Course 1Course 2Course 1Course 2
7Course 1Course 2    
8Course 1Course 2    
9Course 1Course 2    
10Course 1Course 2Course 1Course 2Course 1Course 2