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 406 Medical Terminology for Health Information Management 2 Hours
HIM 486 Fundamentals of Health Information Management 2 Hours

Core Courses (26 credits)

BHIS 437 Healthcare Data 3 Hours
BHIS 499 Information Sources in Biomedical & Health Information Sciences 1 Hour
BHIS 503 Communication Skills in Health Informatics 3 Hours
BHIS 505 Ethics & Legal Issues in Health Informatics 3 Hours
BHIS 510 Healthcare Information Systems 3 Hours
BHIS 515 Management of Healthcare Communication Systems 3 Hours
BHIS 520 Health Information Systems Analysis & Design 3 Hours
BHIS 525 Social and Organizational Issues in Health Informatics 3 Hours
BHIS 530 Topics in Health Informatics 3 Hours
BHIS 593 Health Informatics Capstone Experience 1 Hour

Electives (12 credits)

BHIS 509 Informatics for the Clinical Investigator 3 Hours
BHIS 511 Application of Health Care Information Systems 2 Hours
BHIS 514 Patient Safety Topics in Health Informatics 2 Hours
BHIS 517 Healthcare Information Security 3 Hours
BHIS 522 Mobile Health Informatics 3 Hours
BHIS 527 Knowledge Management in Healthcare Organizations 3 Hours
BHIS 528 Consumer Health Informatics 3 Hours
BHIS 529 Transforming Healthcare using Business Intelligence and Predictive Analytics 3 Hours
BHIS 532 Theoretical Concepts of Clinical Decisions Support Systems 3 Hours
BHIS 533 Practical Implementation of Clinical Decision Support Systems 3 Hours
BHIS 534 Information Technology and Patient Safety 3 Hours
BHIS 537 Health Care IT Vendor Management 3 Hours
BHIS 538 Healthcare IT Administration 3 Hours
BHIS 540 Essentials in Health Data Science 3 Hours
BHIS 541 Healthcare Data Analytics 3 Hours
BHIS 542 Artificial Intelligence 3 Hours
BHIS 543 Healthcare Project Management 3 Hours
BHIS 546 Leadership Development in Health Informatics 3 Hours
BHIS 554 Health Informatics Business intelligence Tools and Applications 3 Hours
BHIS 561 Programming for Health Analytics 3 Hours
BHIS 567 Healthcare Data Visualization 3 Hours
BHIS 575 Applied Statistics for Health Data Science 3 Hours
BHIS 580 Practicum in Biomedical and Health Information Sciences
BHIS 596 Independent Study

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 540 Essentials in Health Data Science 3 Hours
BHIS 575 Applied Statistics for Health Data Science 3 Hours

Choose two additional electives

BHIS 527 Knowledge Management in Healthcare Organizations 3 Hours
BHIS 529 Transforming Healthcare using Business Intelligence and Predictive Analytics 3 Hours
BHIS 532 Theoretical Concepts of Clinical Decisions Support Systems 3 Hours
BHIS 533 Practical Implementation of Clinical Decision Support Systems 3 Hours
BHIS 541 Healthcare Data Analytics 3 Hours
BHIS 542 Artificial Intelligence 3 Hours
BHIS 554 Health Informatics Business intelligence Tools and Applications 3 Hours
BHIS 561 Programming for Health Analytics 3 Hours
BHIS 567 Healthcare Data Visualization 3 Hours