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Program Overview

Health Data Science

Graduate Certificate in Health Data Science

This graduate certificate provides foundational data science skills (R programming, statistical analysis, data modeling) that are increasingly essential for many industries, but also adds exposure to and practice with the unique complexities of health data and the care that must be taken in handling them. Courses in statistical analysis and predictive modeling provide hands-on experience analyzing real health data sets, which are often messy and unstructured, while courses in data visualization and health analytics leadership emphasize how to effectively communicate analytics insights to stakeholders across an organization.

 

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STACKABLE CERTIFICATE

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Complete this four-course certificate and apply your credit to either the MS in Health Analytics or MS in Data Science program at SPS.

Credits earned in this graduate certificate can be applied to either the MS in Health Analytics or the MS in Data Science program at SPS, allowing students greater flexibility in determining their career pathway.

MSHA 403: Introduction to American Healthcare, Digital Health, and Analytics (equivalent to MSDS 403: Data Science in Practice)

MSHA 409: Statistical Analysis  (equivalent to MSDS 401: Applied Statistics with R)

MSHA 410: Regression and Multivariate Analysis (equivalent to MSDS 410: Data Modeling for Supervised Learning)

MSHA 455: Data Visualization and Storytelling (equivalent to MSDS 455: Data Visualization) OR MSHA 480: Health Analytics Leadership (equivalent to MSDS 480: Business Leadership and Communications)


 

About the Graduate Certificate in Health Analytics

Credits earned in this graduate certificate can be applied to either the MS in Health Analytics or the MS in Data Science program at SPS, allowing students greater flexibility in determining their career pathway.

 

Graduate Certificate in Health Data Science Learning Outcomes

After successful completion of the Health Data Science certificate, students will be able to:

  • Identify the multiple sources of healthcare data generation (e.g., hospitals, payers, patients) and their relationships
  • Perform basic statistical analysis of health data sets in R Studio
  • Develop statistical modeling as a process that includes exploratory health data analysis, model identification, and model validation
  • Understand the difference between the uses of statistical models for statistical inference versus predictive modeling
  • identify and explain the layers of the grammar of graphics, select effective static data visualizations, write R code to manipulate data visualizations, and construct their own compelling visualizations from scratch using health data.
  • Apply best practices in leading change and project management, including: stakeholder engagement, project chartering, scope definition, and key metric development
  • Develop effective communication and presentation skills to translate analytics to actionable recommendations that can be used to solve problems in their organizations

Health Data Science Curriculum

Students are required to complete the following four courses to earn the certificate:

  • MSHA 403: Introduction to American Healthcare, Digital Health, and Analytics
  • MSHA 409: Statistical Analysis 
  • MSHA 410: Regression and Multivariate Analysis
  • MSHA 455: Data Visualization and Storytelling  OR  MSHA 480: Health Analytics Leadership

Review curriculum details while you consider applying to this program. Current students should refer to the curriculum requirements in place at time of entry into the program.

Health Data Science Courses

Explore Health Data Science Courses. You can narrow your course search by day, location or instructor.

 

Health Data Science Admission

A variety of factors are considered when your application is reviewed. Background and experience vary from student to student. For a complete list of requirements, see the Graduate Certificate Admission page.

Health Data Science Tuition

Tuition for the Graduate Certificate in Health Data Science at Northwestern is comparable to similar US programs. Complete details can be found on the Health Data Science Certificate Tuition page.

Registration Information for Health Data Science

Already accepted into the Health Data Science Graduate Certificate program? Get ahead and register for your classes as soon as possible.

COURSE SCHEDULE REGISTRATION PROCEDURES

 

Health Analytics Faculty

Instructors in the Health Data Science Graduate Certificate program at Northwestern are leading scholars and practitioners in their field. They bring real-world experiences to the classroom and engage with students on a personal level. Get to know the instructors on the Faculty page.

Applying Credit to SPS Master's Programs

Students that are interested in the option of applying their credit to either the MS in Health Analytics or MS in Data Science program at SPS must submit an online application and submit all required application materials.

Students that elect to apply to a master's program before completing a graduate certificate will be able to count completed courses toward the applicable master's degree, but there will be no certificate conferred.

If you are interested in exploring this option, please contact the SPS graduate advising team for information on how to pursue a master's degree at SPS.


Find out more about Northwestern's Health Data Science Graduate Certificate

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