Applied Biostatistics Advanced Certificate

This certificate program will provide an intensive training on biostatistical methodology and data analysis skills. Upon completion, students will be equipped with statistical knowledge and programming techniques needed for analyzing data from a variety of sources such as clinical trials, observational studies and laboratory studies. This certificate program is targeted towards people who have already obtained their terminal degree (e.g., MD or PhD) and would like additional professional development outlets.

Required Core (3 credits)

Select 1 from:

STA 502LEC - Intro Stat Inference Credits: 3
STA 521LEC - Intro Theoretical Stat 1 Credits: 3
STA 522LEC - Intro Theoretical Stat 2 Credits: 3

Electives (12 credits)

Select 4 courses, not previously taken, from:

STA 503LEC - Introduction to Applied Statistics I Credits: 3
STA 504LEC - Introduction to Applied Statistics II Credits: 3
STA 509LEC - Statistical Genetics Credits: 3
STA 511LEC - Advanced Statistical Computing Credits: 3
STA 517LEC - Categorical Data Analysis Credits: 3
STA 521LEC - Intro Theoretical Stat 1 Credits: 3
STA 522LEC - Intro Theoretical Stat 2 Credits: 3
STA 525LEC - Stats for Bioinformatics Credits: 3
STA 526LEC - Design and Analysis of Clinical Experiments Credits: 3
STA 531LEC - Sample Survys Thery-Meths Credits: 3
STA 545LEC - Statistical Data Mining I Credits: 3
STA 546LEC - Data Mining II Credits: 3
STA 561LEC - Longitudinal Data Analysis Credits: 3
STA 571LEC - Spec Top in Statistics Credits: 3
STA 575LEC - Survival Analysis Credits: 3
STA 581LEC - Multivar Data Analysis Credits: 3

Total Credit Hours: 15

3.0 GPA required

Program Learning Outcomes (PLOs)

1) Work with probability and random variables in practice and in theory

2) Successful completion of four of the electives

SED Statement

This program is officially registered with the New York State Education Department (SED).