Master of Science in Health Data Science and Informatics

KU School of Medicine

Master’s in Health Data Science Learning Outcomes

Graduates of the Master’s in Health Data Science program will be able to:

• Apply data science techniques to health-related datasets to uncover insights and inform decision-making.
• Use statistical methods and machine learning algorithms to model and predict health outcomes.
• Communicate complex health data findings clearly to stakeholders, including healthcare providers, policymakers, and the public.
• Contribute to the improvement of healthcare systems through data-driven solutions.

What careers are possible with a Master’s in Health Data Science

Graduates of the Master’s in Health Data Science program at KU are well-prepared to enter the workforce in a variety of roles across the healthcare, government, and private sectors. Potential career opportunities include:

• Health Data Scientist
• Biostatistician
• Epidemiologist
• Healthcare Data Analyst
• Public Health Researcher

###What Can You Do With a Master’s in Health Data Science?

A Master’s in Health Data Science opens the door to many career paths in public health, healthcare administration, and private industry. Many graduates go on to work in hospitals, research institutions, pharmaceutical companies, and health-focused technology firms, using their skills to improve healthcare outcomes through data-driven insights.

According to Lightcast, employment for graduates with a masters in health data science will increase 7% over the next 10 years, with current median compensation of $54,000/year nationally.

Tuition and Financial Aid

Admission Requirements

To be considered for the Master’s in Health Data Science program at KU, applicants must meet the following requirements:

• A bachelor’s degree from an accredited institution.
• A minimum GPA of 3.0 on a 4.0 scale.
• Letter grade of B or better in Calculus I and II (or the equivalent) or completion of STAT 655: Foundations of Mathematics for Data Science with a grade of B or higher.
• GRE scores are recommended, but not required
• Letters of recommendation from academic or professional references.
• A personal statement describing your career goals and interest in the program.
• Applicants who are not native speakers of English, whether domestic or international, must demonstrate they meet the Minimum English Proficiency Requirement.
• A background check.
• Successful completion of a course in any computer programming language or demonstration of mastery via credentials or work experience.
• Current resume or CV.

For more detailed admissions information, please visit our Admissions page.

Student Life and Learning Experiences

At KU, students in the Health Data Science program have the opportunity to engage in cutting-edge research in areas such as epidemiology, healthcare analytics, and public health policy. You will have access to advanced software tools and work with faculty who are leaders in the field, ensuring that you gain valuable hands-on experience that is directly applicable to the real world.

As a student in the Health Data Science program at KU, you will be part of a dynamic and supportive community. KU offers numerous student organizations, networking events, and career development opportunities that allow you to build professional connections, gain insight into the health data science industry, and enhance your academic experience. KU’s collaborative environment ensures that students are prepared for success in their careers.

Master’s in Health Data Science Sample Courses

The curriculum for the master’s in health data science includes courses designed to build a strong foundation in both data science and health systems. Sample courses include:

• Data Visualization and Acquisition
• Introduction to Programming and Applied Statistics in R
• Observational Health Data Analysis
• Processing and Analysis of Medical Information Systems

For more information on course offerings and detailed descriptions, visit the KU Catalog.