Biostatistical Informatics Advanced Certificate

The Department of Biostatistics offers an Advanced Certificate in Biostatistical Informatics, the study of high-dimensional data in biomedical and public health research. Students will receive in-depth training in the statistical foundations and methods of analysis of genetic data, including genetic mapping, quantitative genetic analysis, design and analysis of medical genetic studies, and data mining. Biostatistics majors pursuing this certificate will benefit from specialized training that will more readily qualify them for employment and/or conducting research in the certificate subject areas.

Required Core (15 credits)

STA 502LEC - Intro Stat Inference Credits: 3
STA 509LEC - Statistical Genetics Credits: 3
STA 525LEC - Stats for Bioinformatics Credits: 3
STA 545LEC - Statistical Data Mining I Credits: 3
STA 546LEC - Data Mining II 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) Use and explain basic theories of statistical inference as applied to problems in genetics and bioinformatics

3) Use and explain linear (simple and multiple) and logistic regression

4) Apply prediction models and machine learning to bioinformatics or informatics data

SED Statement

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