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Students
Tuition Fee
Start Date
Medium of studying
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Program Facts
Program Details
Degree
Courses
Major
Biomedical Sciences | Health Informatics | Laboratory Science
Area of study
Health
Course Language
English
About Program

Program Overview


The Graduate Certificate in Bioinformatics and Biomarkers provides a foundation in bioinformatics, proteomics, and genomics. It equips students with biomarker research and bioinformatics techniques, enabling them to interact with specialists in biomedical sub-disciplines. The program consists of three core courses and one elective, covering fundamentals, statistical methods, bioinformatic computation, and applications.

Program Outline

Degree Overview:

  • Overview: The Graduate Certificate in Bioinformatics and Biomarkers program provides a foundation in the rapidly growing fields of bioinformatics, proteomics, and genomics.
  • It is especially valuable for PhD students whose research would benefit from expertise in bioinformatics.
  • Objectives: Upon completion of the program, students will be able to:
  • Utilize biomarker research and bioinformatics techniques
  • Interact with specialists in a range of biomedical sub-disciplines
  • Program Description: The program consists of three, 3-credit courses:
  • Fundamentals of Bioinformatics and Proteomics/Genomics (BIPG 5100)
  • Statistical Methods in Bioinformatics (BIPG 5200)
  • Bioinformatic Computation (BIPG 6100)
  • Students can also choose one of the following two courses:
  • Biomarker Discovery, Validation, and Implementation (BRIM 6200)
  • Applications of Bioinformatics (BIPG 6400)

Outline:

The program's structure consists of three 3-credit hour courses for a total of 9 credits. The courses include:

  • Fundamentals of Bioinformatics and Proteomics/Genomics (BIPG 5100): This course covers the scope of bioinformatics, proteomics, and genomics.
  • Statistical Methods in Bioinformatics (BIPG 5200): This course provides training in statistical methods used in biomarker research and bioinformatics.
  • Bioinformatic Computation (BIPG 6100): This course covers the handling and manipulation of databases and computer programming skills needed to analyze large quantities of nucleic acid and protein sequence data.
  • Biomarker Discovery, Validation, and Implementation (BRIM 6200): This course provides an overview of biomedical discovery and validation techniques followed by application in selected aspects of individualized medicine.
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