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BMI 6319 Data Analysis for Scientific Research in Biomedical Informatics

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Classroom instruction
Prerequisites: BMI 5007 or consent of instructor
Required for PhD students
Lab Fee: $30

This course explores new and emerging data structuring problems within the context of healthcare. Advanced data structures are required for a variety of applications, including efficient database design, data mining, information retrieval and web search, among others. Students should be prepared to participate in a variety of programming assignments and complete a project related to their doctoral or other significant research area.

Upon successful completion of the course, students will:

  • Plan a reproducible data analysis pipeline
  • Select and utilize modern data science tools to generate the planned analysis


  • Current enrollment in doctoral program
  • Ongoing project involving data analysis and access to the dataset to be analyzed
  • While your specific data analysis might leverage different software packages and programming languages, you will be required to have working knowledge of Python.