Healthcare Informatics student giving a presentation

Master of Science in Biomedical Informatics

The University of Chicago Master of Science in Biomedical Informatics

Prepare for a Career in Health Informatics

The University of Chicago’s Master of Science in Biomedical Informatics program prepares students to lead healthcare’s evolution into an era where organizations will apply their data to meet these goals. 

Our curriculum was designed by academic faculty and medical industry professionals to ensure its relevance and applicability to the workforce needs in biomedical fields. Our curriculum covers the whole spectrum of biomedical informatics. Students can specialize their studies via our four concentrations: bioinformatics, clinical informatics, healthcare delivery science, and population health informatics.

Former Master of Science in Biomedical Informatics program director Suzanne Cox, PhD,  presented this talk on the steps to building a career in health informatics, and the ways that healthcare professionals can develop informatics skills to help the healthcare system improve patient safety and care.

Webinar originally presented in Spring 2018

Master of Science in Biomedical Informatics students and graduates work as analysts, data scientists, engineers, and project managers throughout the healthcare industry. 

MScBMI Students Learn and Master:

  • Informatics methodology, applying tools and techniques to both research and applied problems in biomedical settings
  • Effective communication with diverse professional audiences regarding informatics issues and solutions
  • Management of biomedical informatics projects
  • Understanding of the ethical, privacy, and data security issues in the field

Biomedical Informatics Courses Cover:

Students learn practical applications in medical systems and practice real-world skills covering relevant topics such as:

  • Electronic health record systems
  • Distribution and integration of clinical information systems
  • Evaluation methods for health information systems
  • Clinical decision support systems
  • Telemedicine and telehealth
  • Imaging systems
  • Bioinformatics systems support
  • Human-computer interaction
  • Ethical and privacy issues
  • Nursing, public health, dental and pharmacy information systems and issues