Biomedical Informatics Specialization

Specialization Educational Objectives

In addition to the core objectives, a student graduating with a Bachelor of Science degree with a major in Data Analytics with a specialization in Biomedical Informatics will demonstrate:

  • an understanding of the core sub-disciplines of biomedical informatics that play a role in the design, implementation, and management of clinical, research, and translational information systems.
  • an understanding of the contributing theoretical frameworks that are conventionally used to inform the design and use of biological and medical information systems, and integrative data discovery and analysis tools.
  • critical evaluation skills that allow for the analysis of system design and or utilization of biomedical information systems and data.

Degree Planning Resources

Take a look at the suggested 4-year sample plan [pdf] and the advising curriculum sheet [pdf] for Biomedical Informatics.  These should be used as guides only. Semester offerings are subject to change.

Specialization Requirements

All students specializing in Biomedical Informatics must complete the following specialization requirements.

  • MolGen 5660: Integrated Molecular and Cellular Biology for Non-Biologists (MolGen 5650 and 4500 approved as alternates)
  • BMI 5710: Introduction to Biomedical Informatics
  • BMI 5720: Introduction to Imaging Informatics (any BMI 5000-level course approved as alternate)
  • BMI 5730: Introduction to Bioinformatics
  • BMI 5740: Introduction to Research Informatics
  • CSE 591*/Stat 4194*: Capstone in Data Analytics

*The Department of Computer Science and Engineering offers numerous capstone courses that vary by topic. Data Analytics majors may choose any course numbered 591x. CSE 5914 and 5915 are preferred. The Department of Statistics also offers a capstone course numbered Stat 4194 that can be taken in place of the CSE capstone options.

Students specializing in Biomedical Informatics should also take the following courses:

These courses will satisfy the pre-requisite requirements for the required course MolGen 5660 and, as noted on the GE advising page, can be simultaneously used to fulfill the GE requirements in the Natural Science category.


[pdf] - Some links on this page are to Adobe .pdf files. If you need these files in a more accessible format, please contact data-analytics@osu.edu

0