Biomedical Informatics: Data, Modeling and Analysis Graduate Certificate

Graduate Certificate

Fee:
Fee may apply

Overview

The Biomedical Informatics: Data, Modeling and Analysis Graduate Certificate explores the design and implementation of novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine. You will acquire knowledge and skills in bio- and clinical informatics that go beyond the undergraduate level. From recent genomic research to new applications of basic biology, you will develop an in-depth understanding of the techniques used to analyze vast amounts of biological data.

Who Should Apply

Healthcare professionals, computer scientists, biologists and bioinformaticians who want to understand how algorithms are applied to biological problems, including the different approaches and constraints necessary for practice in the modern medical field.

You Will Learn

Decision science methodologies for the implementation of information systems
Knowledge representations and models that support medical decision-making
Techniques to analyze biological data from high throughput approaches
Topics ranging from sequence, structure and function analysis, to databases and visualization

Earning the Certificate

Tailor the certificate to your interests and career goals
Begin your certificate any academic quarter that an applicable course is offered, subject to prerequisites
Take courses for graduate credit and a grade

Requirements

Receive a B (3.0) or better in each course
Some courses require permission of instructor

Prerequisites

1 year of computer programming (coursework or experience)
Basic college biology
One year of calculus, and coursework in probability and statistics is strongly advised, and is required for some courses
A conferred Bachelor’s degree with an undergraduate GPA of 3.0 or better.