Identify data-driven solutions for health-care systems in positions that are highly sought after in industry. Gain an appreciation of how health systems work locally and abroad, and how applying mathematical, statistical and machine learning techniques make a difference in health organizations.

This two-year post-baccalaureate diploma (60 credit/20 course) is aimed at students with a bachelor degree in any nursing, science, engineering, psychology, business or management program who wish to pursue a career in Health Analytics. Students will receive thorough training in statistics and data science. Term one of this program sets the mathematical and statistical foundation for higher level learning in the health and data science areas. In subsequent terms, students build on, and apply, these foundational skills to a diverse set of areas. While many of the applications have a health focus, the mathematical, statistical, and data science concepts learned are universally applicable to a wide range of disciplines.

At the end of this program students will:

Understand healthcare systems in a variety of countries including how their history, geography, government and economy and privacy laws impact the healthcare system.
Evaluate, define and explain data-analytic problems that offer the greatest opportunities for organizational benefits.
Understand the relevant laws, regulations and standards involved with health data.
Manage and manipulate data and create data visualizations using a variety of mathematical and statistical software.
Apply mathematical, statistical and machine learning techniques to support organizational decisions as well as to identify new data driven opportunities.
Participate in the planning and execution of a data science project culminating in recommendations based on the results of the analysis.

Health-Care Analyst / Senior Health-Care Analyst
Health Informatics Data Analyst
Systems Administrator
Program Manager Analytics
Data Solution Architect
Health Services Manager
Infection Prevention Manager