On-Campus Online

Master of Science in Health Care Informatics

Healthcare Data Analytics Specialization

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Healthcare Data Analytics Specialization

The Healthcare Data Analytics (HDA) specialization is intended for students who are passionate about a career in data science. In this track, students take a deep dive into all facets of data analytics as they apply to health care informatics, including biostatistics, machine learning and systems analysis and design. Courses in this track are taught by informaticists who currently work in data science, meaning our students get unparalleled insight and instruction from experts in the field of analytics. Graduates of this specialization will be able to proficiently utilize advanced analytics tools and programming skills to design unique solutions that solve a wide array of current and evolving health care problems.

This track is for students who: have some exposure to health informatics and are interested in working in data science, analytics or health informatics research. Many students who complete this track choose to pursue a career in health care research, data science and/or health care analytics and some will also go on to pursue doctoral-level studies in data science.

Curriculum for Students in the Healthcare Data Analytics Specialization

  • Take 8 core courses plus 2 specialization courses
  • Optional elective courses may be available
  • Graduate in 20 months (5 terms)

Orientation

Prior to beginning your first term, you’ll be required to complete the program orientation course, which generally takes about 12-16 hours. The course is self-paced but is mandatory. Please plan your schedule accordingly.

Core Courses – Taken By All Students

Course Units

Learn foundational knowledge and skills in health information management, informatics, and U.S. healthcare delivery, with a focus on compute…

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3

Equips students with the essential knowledge and skills required for the planning, analysis, design, and implementation of computer-based in…

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3

Acquire advanced database skills such as database design, data structuring, modeling and the development of database management systems.…

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3

Learn to use data analytics in addressing specific clinical queries, crafting clinical decision support rules, and employing precision medic…

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3

Examine the intricate hardware and software requirements essential for Electronic Health Records (EHRs), and trace the historical trajectory…

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3

Explore the role of leadership in driving innovation and change in healthcare organizations by examining leadership theories, ethics, values…

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3

Develop skills to evaluate data for the purpose of formulating, resolving, and empirically testing data-driven hypotheses.…

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3

Explore how information technology and healthcare intersect to address modern challenges in health sciences, emphasizing the evaluation of h…

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3

Healthcare Data Analytics Specialization Courses

Course Units

Focusing on the Institute for Healthcare Improvement’s Triple Aim, learn how data analytics can be used to identify and address health dis…

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3

Explore a range of ML methodologies and learn how ML methods derive insights from data, facilitating prediction, classification, clustering,…

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3

Optional Elective (Not Part of Your Degree Requirements)

Course Units

Gain practical experience in real-world healthcare informatics and data analytics settings, translating theoretical knowledge into practical…

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3

Frequently Asked questions

How much time will I need to dedicate to this program?

While this will vary from student to student, most students spend approximately 20 hours per week on their studies.

What is the difference between the online and on-campus versions of this program?

In terms of the quality of education you will receive, there is no difference between the online and the on-campus formats of the HCI program.

  • Both formats are 30 units
  • The same material is taught by the same faculty across both formats
  • The course learning outcomes and program learning outcomes are the same across both formats

Minor differences include:

  • On-campus students interact with one another directly within the classroom while online students engage in virtual sessions and online discussion forums.
  • The campus section only admits new students in the Fall, whereas the online section admits new students in Fall, Spring and Summer.
  • Online students will take one accelerated class at a time, and classes are taken year-round. Campus students will take 3 courses each Spring and Fall term, and have the Summer term term off. Optional elective coursework is available over the Summer for campus students.

What courses will I take that are unique to the Healthcare Data Analytics Specialization?

In addition to the 8 core courses, students specializing in Healthcare Data Analytics will take:

  • HCIN 600: Population Health Analytics
  • HCIN 620: Machine Learning Applications for Health Care

What careers can I pursue with a Healthcare Data Analytics Specialization?

Typical job titles that graduates of this track pursue include:

  • Decision Support Specialist
  • Clinical Data Specialist
  • Data Integrity Officer/Analyst
  • Research Data Specialist
  • Data Quality Manager

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