MS - HDS concentration

Addressing the rising need for health care analytics, our HDS concentration provides cross-disciplinary and necessary training for graduates of our program to be in high demand. In fact,  Glassdoor ranks data scientist as the #1 best job in America for 2019 and Forbes magazine states “IBM Predicts Demand For Data Scientists Will Soar 28% by 2020. Here are just a few employers with open positions for health data scientists found on a recent search on Indeed, Glassdoor and ZipRecruiter:

• Amazon
• Fortive
• GNC
• Google
• Highmark Health
• Innovu
• RAND
• Thermo Fisher Scientific

Typical median salary ranges were $56,000-$125,000.

Students with the health data science concentration will master the core MS in biostatistics competencies and will also be able to:

1. Apply data curation and data management techniques such as data munging, data scraping, sampling, and cleaning in order to construct informative, usable, and manageable data sets for meaningful analyses,
2. Apply methods for big data and machine learning to reveal patterns, trends and associations including visualization, and
3. Effectively use a programming language (such as R and/or Python) for data management and statistical analysis.

40 credits, including:

• Coursework in fundamentals of statistical theory and applications,
• Coursework in programming languages (e.g. SQL, R, SAS, Python),
• Coursework in data science, machine learning and database management,
• A statistical consulting practicum,
• Coursework in epidemiology and public health, and
• Capstone course to prepare a thesis involving innovative data analysis or related to an internship experience.

program information

MS-HDS Schedule (PDF, 2022-23)
MS-HDS Degree Requirements Worksheet (PDF, 2022-23)
Student Handbook (PDF, 2022-23)

Admissions

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