Ohio State nav bar

Biomedical and Public Health Analytics 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 and Public Health Analytics will:

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

Degree Planning Resources

These documents outline the prerequisite structure within the core curriculum and demonstrate how students flow through the required courses for the Data Analytics major with a specialization in Biomedical and Public Health Analytics. They should be used as guides only. Semester course offerings are subject to change.


Since AU 2022 with NEW GE (GEN)

Before AU 2022 with LEGACY GE (GEL)


Specialization Requirements

Students specializing in Biomedical and Public Health Analytics must take the following prerequisite courses. As noted on the General Education (GE) Requirements page, these courses also partially satisfy the GE Natural Science requirement.

All students specializing in Biomedical and Public Health Analytics must complete the following specialization requirements.

  • MOLGEN 450.xx: General Genetics or MOLGEN 4606: Molecular Genetics
  • BMI 5710: Introduction to Biomedical Informatics
  • PUBHLTH 5015: Public Health Data Analytics
  • Choose one elective course from the following:
    • BMI 5720 Introduction Imaging Informatics
    • BMI 5730 Introduction Bioinformatics 
    • BMI 5740 Introduction Research Informatics
    • BMI 5750 Methods in Biomedical Informatics
    • BMI 5760 Public Health Informatics
    • BMI 5770 Health Analytics: Data to Discovery to Dissemination
    • PUBHEPI 5420 Infectious Disease Modeling in Humans and Animals
    • PUBHBIO 5280 Introduction to Genomic Data Analysis
    • PUBHEPI 5421 Mathematics of Infectious Disease Dynamics
    • GEOG 5226 Spatial Simulation and Modeling in GIS
  • STAT 4911: Capstone in Data Analytics

[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