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
- Decision science methodologies for the implementation of information systems
- Knowledge representations and models that support medical decision-making
- Techniques to analyze biological data from high throughput approaches
- Topics ranging from sequence, structure and function analysis, to databases and visualization
Earning the Certificate
- Tailor the certificate to your interests and career goals
- Begin your certificate any academic quarter that an applicable course is offered, subject to prerequisites
- Take courses for graduate credit and a grade
- 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.
$11,340 - $15,120 (9 - 12 units)
to complete the certificate
For course tuition and fees, please click
Tuition & Fees
Time to Complete Certificate
1-2 years average
3 years maximum to complete
Biomedical Informatics Training Program, Stanford Center for Biomedical Informatics Research
Submit an inquiry to receive more information.