Description
The Bioinformatics Graduate Certificate focuses on developing an understanding of techniques for analyzing the vast amount of biological data from recent genomic research to new applications relevant to basic biology.
- Understand the use of different techniques to analyze biological data from high throughput approaches
- Learn how the techniques are used in new applications in biomedicine
- Acquire an understanding of how molecular biology is used to address topics ranging from sequence, structure and function analysis in the context of algorithms, databases and visualization
Who Should Apply
- Professionals who need to acquire knowledge and skills in bioinformatics beyond the undergraduate level
- Health care professionals interested in the implications of how discoveries in genetics and molecular biology have impact on disease
- Biologists who wish to understand the full uses and limitations behind bioinformatics methods and technologies
- Computer scientists who wish to understand how algorithms are applied to biological problems and the limitations on different approaches due to biological constraints
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
Requirements
- GPA of 3.0 (B) or better; in each certificate course
- Some courses require permission of instructor
Prerequisites
- UG GPA of 3.0 (B)
- 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
Application
To pursue a graduate certificate you need to apply.
Tuition
$12,320 - $15,840 (11 - 12 units)
to complete the certificate
Time to Complete Certificate
1-2 years average
3 years maximum to complete
Sponsors
Biomedical Informatics Training Program, Stanford Center for Biomedical Informatics Research
Questions
Submit an inquiry and a representative will contact you.
Course Selection
| Course | Course # | Next Offered | Deliv. Options | Prereqs | Avail | |||
| Required Courses (2): | ||||||||
|---|---|---|---|---|---|---|---|---|
| Representations and Algorithms for Computational Molecular Biology | BIOMEDIN214 | Autumn 2012-13 | Online | Y | N | |||
| Translational Bioinformatics | BIOMEDIN217 | Now | Online | Y | N | |||
| Elective Courses (1): | ||||||||
| Select one of the following courses | ||||||||
| Modeling Biomedical Systems: Ontology, Terminology, Problem Solving | BIOMEDIN210 | Winter 2012-13 | At Stanford, Online | N | N | |||
| Data Driven Medicine | BIOMEDIN215 | Autumn 2012-13 | Online | Y | N | |||
| Principles of Pharmacogenomics | BIOMEDIN224 | Summer 2012-13 | Online | Y | Y | |||
| Computational Methods for Biomedical Image Analysis and Interpretation | BIOMEDIN260 | Now | Online | Y | N | |||
| Introduction to Decision Analysis | MS&E152 | Now | At Stanford, Online | Y | N | |||
| Genomics, Bioinformatics and Medicine | BIOMEDIN258 | Now | Online | Y | N | |||
| Genomics, Bioinformatics and Medicine | BIOC258 | Now | Online | Y | N | |||
| Computational Molecular Biology | BIOMEDIN231 | Now | Online | Y | N | |||
| Computational Molecular Biology | BIOC218 | Now | At Stanford, Online | Y | N | |||
| Recommended Prerequisite: | ||||||||
| For students without programming background | ||||||||
| Programming Methodology | CS106A | Now | Online | Y | Y | |||
| Programming Abstractions | CS106B | Now | Online | Y | Y | |||





