Certificate in Biomedical Data Science Program Objectives

The Program Objectives for the Certificate in Biomedical Data Science program consist of the following:

Lead, manage and collaborate Data Science teams with data driven approaches to healthcare organizations.
Recognize the social and ethical responsibilities of data scientists.
Utilize programming languages and software to implement Data Science capabilities such as machine learning, data visualization, statistical and causal inference.
Assess and optimize artificial intelligence solutions for real-world performance.
Three (3) program Student Learning Outcomes (SLOs) (see below) have been established by the program leadership to identify and develop direct measures of student assessment and to ensure student success.

Students will be able to:

Use statistical methods, programming languages, and analytic software with biomedical data to develop data science applications. Assessment: Use of rubric to assess final project with data visualizations and building data science applications
Apply techniques for machine learning to healthcare data. Assessment: Use of rubric to assess final project and building models that predict healthcare outcomes using machine learning.
Measure, assess, and analyze health outcomes within healthcare organizations. Assessment: Use of rubric to assess final project with data visualizations and data science applications