Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download M.S. in Biostatistics suggested course sequence
Document related concepts
Trusted Computing wikipedia , lookup
Computational fluid dynamics wikipedia , lookup
Regression analysis wikipedia , lookup
Mathematical physics wikipedia , lookup
Mathematical economics wikipedia , lookup
Corecursion wikipedia , lookup
Computational chemistry wikipedia , lookup
Pattern recognition wikipedia , lookup
Predictive analytics wikipedia , lookup
Social computing wikipedia , lookup
Data analysis wikipedia , lookup
Computational phylogenetics wikipedia , lookup
Operations research wikipedia , lookup
Statistical mechanics wikipedia , lookup
Data assimilation wikipedia , lookup
Natural computing wikipedia , lookup
Transcript
M.S. in Biostatistics suggested course sequence
1st YEAR
SEMESTER
COURSE NUMBER
TITLE
CORE
FALL
BIOSTATS 540
Intro to Biostats ("Methods I")
Y
STAT 515
Intro to Mathematical Stats I
Y
BIOSTATS 691F
Data Management and Statistical Computing (SAS)
Y
STAT 597
Statistical Computing
BIOSTATS 597D
Intro to Stat Computing with R
EPI 630
Principles of Epidemiology
Y
BIOSTATS 690NR
Applied Regression Modeling ("Methods II")
Y
STAT 516
Intro to Mathematical Stats II
Y
SPRING
[Biostat/Epi/Stat elective]
2nd YEAR
FALL
BIOSTATS XXX
Statistical Computing
STAT 697L
Categorical Data Analysis ("Methods 3")
Y
[Public Health core: either EHS 565 or HPP 601]
Y
BIOSTATS 690DS
Data Science
[Biostat/Epi/Stat elective]
SPRING
BIOSTATS 690JQ
Applied Statistical Learning ("Methods 4")
Y
BIOSTATS 740
Mixed Models
Y
[Biostat/Epi/Stat elective]
[Biostat/Epi/Stat elective]
