Master of Science in Health Informatics (MSHI)

Curriculum

The graduate-level curriculum in Health Informatics at the University of Illinois at Chicago provides you with a comprehensive, real-world approach to systems integration within the healthcare industry. This dynamic degree program encompasses the broad study of how healthcare data are collected into electronic health records (EHR), as well as how information technology systems are built to effectively house and circulate this data across organizations. In addition to delivering a solid foundation of technical knowledge, the 100 percent online curriculum also covers a wide range of industry-relevant topics, including clinical trends, government regulations and healthcare management best practices.

Upon completing the MSHI program, consisting of 38 credit hours, graduates will have a thorough understanding of the tools and practices used to improve the use of information technology throughout all facets of healthcare (including nursing, pharmacy, clinical care, public health and medical research).

Students have the option of using their electives to earn a concentration in Health Data Science (HDS). This concentration empowers students to become more expert, regardless of their level, by choices they make themselves in a new field that is still developing.

The HDS curriculum will enable students to:

  • Work on solutions that support innovation in healthcare
  • Learn how to identify key questions to help them define new problems
  • Design their own unique solutions
  • Develop solutions from initial ideas to completion and implementation
  • Build an intellectual toolkit of ideas and tactics that meet new industry demands
  • Assemble a portfolio of completed projects in their specific area of interest

Prerequisite Courses (may be waived in some instances)

BHIS 406Medical Terminology for Health Information Management2 Hours
HIM 486Fundamentals of Health Information Management2 Hours

Core Courses (26 credits)

BHIS 437Healthcare Data3 Hours
BHIS 499Information Sources in Biomedical & Health Information Sciences1 Hour
BHIS 503Communication Skills in Health Informatics3 Hours
BHIS 505Ethics & Legal Issues in Health Informatics3 Hours
BHIS 510Healthcare Information Systems3 Hours
BHIS 515Management of Healthcare Communication Systems3 Hours
BHIS 520Health Information Systems Analysis & Design3 Hours
BHIS 525Social and Organizational Issues in Health Informatics3 Hours
BHIS 530Topics in Health Informatics3 Hours
BHIS 593Health Informatics Capstone Experience1 Hour

Electives (12 credits)

BHIS 509Informatics for the Clinical Investigator3 Hours
BHIS 511Application of Health Care Information Systems2 Hours
BHIS 514Patient Safety Topics in Health Informatics2 Hours
BHIS 517Healthcare Information Security3 Hours
BHIS 522Mobile Health Informatics3 Hours
BHIS 527Knowledge Management in Healthcare Organizations3 Hours
BHIS 528Consumer Health Informatics3 Hours
BHIS 529Transforming Healthcare using Business Intelligence and Predictive Analytics3 Hours
BHIS 532Theoretical Concepts of Clinical Decisions Support Systems3 Hours
BHIS 533Practical Implementation of Clinical Decision Support Systems3 Hours
BHIS 534Information Technology and Patient Safety3 Hours
BHIS 537Health Care IT Vendor Management3 Hours
BHIS 538Healthcare IT Administration3 Hours
BHIS 540Essentials in Health Data Science3 Hours
BHIS 541Healthcare Data Analytics3 Hours
BHIS 542Artificial Intelligence3 Hours
BHIS 543Healthcare Project Management3 Hours
BHIS 546Leadership Development in Health Informatics3 Hours
BHIS 554Health Informatics Business intelligence Tools and Applications3 Hours
BHIS 561Programming for Health Analytics3 Hours
BHIS 567Healthcare Data Visualization3 Hours
BHIS 575Applied Statistics for Health Data Science3 Hours
BHIS 580Practicum in Biomedical and Health Information Sciences3–12 Hours
BHIS 596 Independent Study1–4 Hours

Health Data Science Electives

Students can earn the concentration by completing four courses – using their 12 hours of required electives to complete concentration requirements. The concentration is documented on the official student transcript.

Required electives for the Health Data Science concentration

BHIS 540Essentials in Health Data Science3 Hours
BHIS 575Applied Statistics for Health Data Science3 Hours

Choose two additional electives

BHIS 527Knowledge Management in Healthcare Organizations3 Hours
BHIS 529Transforming Healthcare using Business Intelligence and Predictive Analytics3 Hours
BHIS 532Theoretical Concepts of Clinical Decisions Support Systems3 Hours
BHIS 533Practical Implementation of Clinical Decision Support Systems3 Hours
BHIS 541Healthcare Data Analytics3 Hours
BHIS 542Artificial Intelligence3 Hours
BHIS 554Health Informatics Business intelligence Tools and Applications3 Hours
BHIS 561Programming for Health Analytics3 Hours
BHIS 567Healthcare Data Visualization3 Hours