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Program Information

Program/Department Chair: William Hersh

Program length: 1-8 years depending on program pathway

Admit by cohort: No

Authorized Award(s): Master of Biomedical Informatics, Master of Science, Doctor of Philosophy

Minimum number graded credit hours: 135 for PhD, 60 for Masters

Minimum acceptable GPA: 3.0 GPA

 

Program Purpose Statement

The mission of the Biomedical Informatics PhD Program is to develop independent researchers, dedicated teachers and imaginative leaders in healthcare, academia, and industry. The development of leaders who can bring novel strategies and new ideas to the interdisciplinary domain of biomedical informatics is also a high priority objective.

 

Student Learning Outcomes

Learning Objectives for the BMI Clinical Informatics Training Programs:

MBI (Professional Masters with capstone project) Clinical Informatics Track

At the end of the program, the graduate will be able to: 

  • Apply informatics theories, methods and tools related to personal health, health care, public health, and biomedical research in an industrial workplace.
  • Exhibit knowledge in the underlying biological and health domains that are related to the field of clinical informatics.
  • Identify differences in organizations and personal behaviors that affect the diffusion of informatics technology.
  • Adhere to the professional and legal conduct standards of the field of clinical informatics. 
  • Display effective oral and written presentation skills. 
  • Show competence in use of information technology tools.

MS (Research Masters with thesis) Clinical Informatics Track 

At the end of the program, the graduate will be able to: 

  • Apply informatics theories, methods and tools related to personal health, health care, public health, and biomedical research in an academic setting. 
  • Exhibit knowledge in the underlying biological and health domains that are related to the field of clinical informatics.  
  • Evaluate informatics tools and techniques for solving specific biomedical and health problems.
  • Adhere to the professional and legal conduct standards of the field of clinical informatics.
  • Produce solutions that address academic or industrial needs using informatics tools and knowledge.
  • Demonstrate scholarly oral and written presentations.

PhD Clinical Informatics Track 

At the end of the program, the graduate will be able to: 

  • Apply informatics theories, methods and tools related to personal health, health care, public health, and biomedical research in a research setting. 
  • Exhibit knowledge in the underlying biological and health domains that are related to the field of clinical informatics.  
  • Apply appropriate evaluative tools to the solution of specific biomedical and health informatics problems.
  • Adhere to the professional and legal conduct standards of the field of clinical informatics. 
  • Integrate knowledge in a specialized cognate area in order to form a foundation for future research in clinical informatics.
  • Demonstrate communication skills through scholarly oral presentations and written publications
  • Construct and deliver educational content in clinical informatics to the standards of the department and field.
  • Conduct independent research which contributes new knowledge to the field of clinical informatics.  
  • Demonstrate communication skills through scholarly oral presentations and written publications

Learning Objectives for the BMI Bioinformatics & Computational Biology (BCB) Training Programs: 

MBI (Professional Masters with capstone project) BCB Track 

At the end of the program, the graduate will be able to: 

  • Apply bioinformatics methods and tools related to genomics, proteomics, biology, and physiology in an industrial workplace.
  • Exhibit knowledge in the underlying biological phenomena related to bioinformatics and computational biology.
  • Identify statistical analyses which can be used to solve bioinformatics and computational biology problems.
  • Adhere to the professional and legal conduct standards of the field of bioinformatics and computational biology.
  • Display effectively oral and written presentation skills
  • Show competence in use of the computational tools required for work in bioinformatics and computational biology. 

 MS (Research Masters with thesis) BCB Track 

At the end of the program, the graduate will be able to:

  • Apply bioinformatics methods and tools related to genomics, proteomics, biology, and physiology in an academic setting.
  • Exhibit knowledge in the underlying biological phenomena related to bioinformatics and computational biology.
  • Evaluate statistical analyses which can be used to solve bioinformatics and computational biology problems.
  • Adhere to the professional and legal conduct standards of the field of bioinformatics and computational biology.
  • Produce solutions that address academic or industrial needs using bioinformatics and computational biology tools and knowledge.
  • Demonstrate scholarly oral and written presentations

PhD BCB Track 

At the end of the program, the graduate will be able to: 

  • Apply bioinformatics methods and tools related to genomics, proteomics, biology, and physiology in a research setting.
  • Exhibit knowledge in the underlying biological phenomena related to bioinformatics and computational biology.
  • Apply appropriate statistical analyses and other evaluative tools to the solution of specific problems in bioinformatics and computational biology.
  • Adhere to the professional and legal conduct standards of the field of bioinformatics and computational biology.
  • Demonstrate communication skills through scholarly oral presentations and written publications
  • Integrate knowledge in a specialized cognate area in order to form a foundation for future research in bioinformatics and computational biology.
  • Construct and deliver educational content in bioinformatics and computational biology to the standards of the department and field.
  • Conduct independent research which contributes new knowledge to the field of bioinformatics and computational biology