Biomedical Informatics: Data, Modeling and Analysis Graduate Certificate
- Graduate Certificate
Fee may apply
The Biomedical Informatics: Data, Modeling and Analysis Graduate Certificate explores the design and implementation of novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine. You will acquire knowledge and skills in bio- and clinical informatics that go beyond the undergraduate level. From recent genomic research to new applications of basic biology, you will develop an in-depth understanding of the techniques used to analyze vast amounts of biological data.
Who Should Apply
Healthcare professionals, computer scientists, biologists and bioinformaticians who want to understand how algorithms are applied to biological problems, including the different approaches and constraints necessary for practice in the modern medical field.
You Will Learn
Earning the Certificate
- GPA of 3.0 (B) or better; in each certificate course
- Some courses require permission of instructor
- 1 year of computer programming (coursework or experience)
- Basic college biology
- One year of calculus, and coursework in probability and statistics is strongly advised, and is required for some courses
- A conferred Bachelor’s degree with an undergraduate GPA of 3.0 or better.
To pursue a graduate certificate you need to apply.
Tuition$11,340 - $15,120 (9 - 12 units)
to complete the certificate
For course tuition and fees, please click
Tuition & Fees
Time to Complete Certificate1-2 years average
3 years maximum to complete
Biomedical Informatics Training Program, Stanford Center for Biomedical Informatics Research
QuestionsSubmit an inquiry to receive more information.
Required Courses (3)
- Modeling Biomedical Systems: Ontology, Terminology, Problem Solving
- Representations and Algorithms for Computational Molecular Biology
- Data Driven Medicine
- Translational Bioinformatics
- Computational Methods for Biomedical Image Analysis and Interpretation