Master's Healthcare

Master of Science in Biomedical Informatics

Concentrations

Bioinformatics Master's Concentration

In the bioinformatics concentration, students learn about genomic and other biological and clinical data while they work with DNA and RNA sequencing data using high performance computing infrastructures, UNIX, shell, and R programming. They also have the option to pursue advanced programming in Python and explore machine learning techniques. They graduate with the skills and practice to succeed in industry, lab, and research settings.

Within the Bioinformatics concentration, students will study:

  • Molecular biology research tools and knowledge extraction engines
  • Utilities for DNA and RNA sequencing
  • Genomic data visualization
  • Concepts, techniques and algorithms used in machine learning

In addition to a capstone project centered on bioinformatics, the following courses are required to complete the concentration: 

Clinical Informatics Master's Concentration

The Clinical Informatics concentration in the Master of Science in Biomedical Informatics provides training for students to master the concepts of healthcare data exchange and the application of informatics systems in the clinical environment to drive care quality, patient safety, and data integration.

Within the Clinical Informatics concentration, students will learn to:

  • Apply health information technology tools such as electronic health records, clinical decision support, and health information exchange to support and improve care
  • Describe current uses of decision support systems in healthcare
  • Design, implement, and evaluate a decision support system to solve a real world health system problem
  • Understand the expanding role of decision support systems in the genomic era
  • Describe the ways in which data across clinical systems can interoperate and provide a whole picture of patients’ health
  • Discuss the use of health information technology standards to support interoperability

In addition to a capstone project that explores clinical informatics, students in the concentration must complete the following courses:

Healthcare Delivery Science Master's Concentration

The Healthcare Delivery Science concentration in the MSc in Biomedical Informatics (MScBMI) was developed to present students with a complete and customizable curriculum in healthcare delivery science with the ultimate goal of producing healthcare leaders and team members who will learn how to embed healthcare delivery science in their health system. The ultimate goal of biomedical informatics is to improve human health, and the HDS track further refines this goal. The fundamental principle underlying healthcare delivery science is that the intersection between real-world operations and research techniques are critical for understanding and improving healthcare. In part, innovations brought about in the new field of healthcare delivery science are driven by the availability of big data. Today’s patients generate almost genomic-scale data as they pass through routine healthcare encounters—meaning that for the first time in history we can deploy analytical techniques formerly used only in top-tier research to understand real-world operational programs.

Within the healthcare delivery concentration, students will learn:

  • About the interconnectedness of systems and processes within healthcare delivery
  • The concept of complex adaptive systems as the underlying theory of healthcare delivery science
  • By using scientific methods this complexity is knowable and amenable to intervention
  • The Healthcare Delivery Science concentration will allow students with interest in healthcare delivery science to focus their studies and research on data systems and analysis specific to healthcare delivery sciences. This concentration's requirements include a specific Healthcare Delivery Science concentration discussion section and healthcare delivery science electives.

In order to fulfill the concentration, students must complete a capstone project that explores healthcare delivery science, students will need to complete two of the following three courses:

Healthcare Delivery Science and Innovation at UChicago

Healthcare Delivery Science represents the overlap between healthcare operations and innovation and research. The University of Chicago Center for Healthcare Delivery Science and Innovation was established to change care across the country by transforming the operational health delivery system into an engine not just of learning, but of discovery. 

> Learn more about the Center for Healthcare Delivery Science and Innovation 

Population Health Informatics Master's Concentration

The Population Health Informatics concentration in the Master of Science in Biomedical Informatics provides students with a curriculum that exposes them to the rapidly expanding sector of community-based health care and prevention. Individuals, families, and communities all have the potential to benefit from improved health outcomes as healthcare systems rapidly deploy resources to implement evidence-based solutions using emerging sets of geospatial, population, and patient data.

The goal of this concentration is to provide students with the skills they will need to use big data and advanced analytics techniques to engage in population health surveillance, outbreak management of chronic or infectious diseases, and positive health promotion and disease prevention at the scale of neighborhoods, cities, counties, or states.

This concentration is about fundamentally transforming community level data into information that can positively impact the outcomes of large scale populations. Obtaining, analyzing, and interpreting population level data can be difficult. Bioinformatic analysis techniques are increasingly serving as a translation tool that allows public policy makers, local health care providers, and the public to make better decisions about resource allocation and strategic approaches to public engagement.

By making community the level of analysis, population health informatics creates the possibility of bridging disparate, siloed public health data in a way that drives new actionable insights. Techniques like predictive analytics and geospatial analysis are opening up new opportunities for data to drive decision making with the ultimate goal of improving health outcomes for all.

Within the population health concentration, students will learn:

  • How to use data to identify the incidence and prevalence of diseases in populations to improve operational awareness in organizations
  • To assess data quality to determine if it is sufficient to answer necessary questions, maintain privacy, and meet legal requirements
  • How to tailor analytic results to assist in policy decisions, goal setting, and outcomes evaluations
  • To use population health data to understand and assess the environmental and community based factors that contribute to public health and disease prevention
  • The population health concentration will allow students with an interest in community level health to focus their studies and research on data systems and analysis specific to resource allocation, chronic and infectious disease prevention, and the increased use of evidence-based solutions to improve the quality of life for communities. This concentration’s requirements include a specific population health concentration discussion section and population health electives.

In addition to a capstone project that explores population health informatics, students in the concentration will need to complete the following courses: