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Graduate Program in Biomedical Informatics

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Brochure (pdf file)     Executive Summary (pdf file)

MD pursuing Ph.D. - Clinical Systems Focus

Normal Pre-requisites (remedial courses may be required)

  • Epidemiology
  • Basic Biostatistics
  • Computer Literacy
  • Intermediate-level Computer Programming skills in a standard structured or object-oriented high-level language

Year 1 - Fall

  • Foundations of Biomedical Informatics and Evidence-Based Practice (with Lab)
  • Design and Analysis of Algorithms
  • Systems Evaluation
  • Research Seminar/Colloquium

Year 1 - Spring

  • Mathematical Statistics
  • Medical Artificial Intelligence I: DSS & ML (with Lab)
  • Clinical Information Systems & Databases (with Lab)
  • Research Seminar/Colloquium

Year 1 - Summer

  • MS Research

Year 2 - Fall

  • Bioinformatics for Molecular Biology (with Lab)
  • Health Care Organization, Management & Policy
  • MS Research
  • Research Seminar/Colloquium

Year 2 - Spring

  • Multivariate Statistics
  • MS Research
  • Research Seminar/Colloquium

Year 2 - Summer

  • MS Research
  • Prepare Reading List for Comprehensive Examination & have it approved

Total M.S. credits: 31 (31formal coursework)

Year 3 - Fall

  • Elective 1 (Advanced Medical Informatics)
  • Prepare For Comprehensive Examination
  • Research Seminar/Colloquium

Year 3 - Spring

  • Take Comprehensive Examination
  • Elective 2 (e.g., Software Engineering)
  • Research Seminar/Colloquium

Year 3 - Summer

  • PhD Research

Year 4 - Fall

  • PhD Research
  • Research Seminar/Colloquium

Year 4 - Spring

  • PhD Research
  • Research Seminar/Colloquium

Year 4 - Summer

  • PhD Research
  • Write Dissertation

Year 5 - Fall

  • Write Dissertation

Year 5 - Spring

  • Submit Dissertation to Ph.D. Committee
  • Schedule Final Examination
  • Register Copies of Dissertation
  • Final Examination
  • Additionally: TA one course in any semester during Years 3 and 4 or substitute with business-related elective; Special Skills Seminars during Years 3 to 5.

Total Ph.D. credits: 72 (37formal coursework)

 

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