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Health Data Science Master's Online

Dec 06, 2019

This article will explore the similarities that online graduate degree programs in health data science may share when it comes to course content, as well as general admission requirements.

Health data science may also be called health data analytics as well as health analytics. This area generally uses statistical and technological tools to study or analyze healthcare-related data and can be useful for those who want to pursue careers as data scientists, consultants, and managers. Students can find many master's programs in this area that are fully online.

Online Master's Degree Programs Related to Health Data Science

These programs may have between 30 and 41 credit hours of course materials, and can often be completed in two years of full-time or part-time study. Common course topics are discussed below.

Leadership in Health Analytics

These are the kinds of courses that teach students the role of leadership in a healthcare environment. This can include the management of health information as well as the relevant governance requirements. Other topics that may be covered are organizational strategies, data literacy, and project management tools.

Data Management

Courses that focus on data management are designed to teach students about the storage and manipulation of data when it comes to health data science. In some courses, students may get 'hands-on' experience in designing databases. Other courses may allow students to delve into the importance of data management through a research project.

Data Security

Along with technological safeguards, students may learn about the physical security measurements that are necessary to keep information safe. Courses that deal with data security may also incorporate privacy laws with which data scientists must comply. A few other topics could include security design, system selection, and architectural database infrastructure.

Machine Learning

Courses of this nature will usually expose students to the practice of using artificial intelligence in different aspects of health data science. In some courses, students could see how machine learning can be combined with predictive modeling to foretell the outcome of an individual's health. In others, students might explore the real-life applications of machine learning and how this may influence decision-making.

Statistics and Computing

These kinds of courses may deal with computing tools for health data science in general or further focus on programming languages. A few of the topics included could be sampling theory, probability theory, and syntax. Students should learn to use the relevant tools to sort, format, and display data.

General Admission Requirements

In order to be admitted to a master's degree program in health data science, applicants must have an undergraduate degree from an accredited college or university. In some cases, these programs require an applicant to have previous academic knowledge of STEM-related areas such as mathematics, computer science or biostatistics. Where a GPA is concerned, some programs require a minimum of 3.0. Along with an application, prospective students may need to submit school transcripts, writing samples, a current resume, a personal statement, and letters of recommendation.

Online master's degree programs that concentrate on health data science are available completely online. These 30 - 41 credit hour programs are generally open to students with an undergraduate degree from an accredited college or university.

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