Master of Science in Health Data Science
The goal of the MS in Health Data Science program is to prepare students to work as a health data scientist in academia or health care industries. Upon completion of the MS in Health Data Science the students will have an extensive understanding of biostatistical principles and computing skills with applications in clinical and other diverse data resources.
At the completion of the MS program in Health Data Science the graduate should be able to:
- Demonstrate a broad knowledge and understanding of diverse resources and types of data
- A broad understanding of statistical principles, computing skills and apply them in health outcome data.
- Function as a collaborator on a research team.
- Assume responsibility for the computing and data visualization analyses for health science investigations.
- Assist with the design and implementation of data management systems for large health science studies.
- Prepare reports and publications resulting from health science studies.
With the rising emphasis on highly personalized data in health care, pharmaceutical, insurance and other organizations, so rises the need for health data scientists. The U.S. Bureau of Labor Statistics estimates a 31 percent growth in jobs for data scientists over the next 10 years (2019-2029) and reports a current median salary of $124,100 for data scientists. Our program will bring statistics and data science together with a focus on health data. This combination of skill sets is highly sought after and is required in many healthcare institutions and industries.
The Master of Science in Health Data Science degree typically compliments prior education and careers in:
- Pharmaceutical Industry
- Health Care
- Insurance Company
- Health Analytics
- Health Research
Fortune magazine ranked statistics and biostatistics among the top graduate degrees in 2015 and 2016 based on salary, growth and job satisfaction. Graduating with this degree will open new doors to a more rewarding career.