Biomedical Data Science

Stanford's School of Medicine offers graduate programs to earn a certificate or Master's degree.

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Biomedical Data Science 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.
  • Join a Stanford classroom from your laptop
  • Enroll in a part-time program designed for professionals like you
  • Earn Graduate credit and a Stanford University transcript

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Graduate or Professional?

Time Commitment

Achievement

Classmate Interactions

Cost

Graduate Certificate 

360-480 hours per certificate

Earn a credential that will make your resume stand out from the crowd

Meet new colleagues in each new course to create your Stanford network

$16,224-$27,040 per certificate

Graduate Course

90-120 hours per course

Earn up to 18 units of academic credit that may contribute to a certificate or a degree

Connect with other students taking the same course

$4,056-$6,760 per course

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Biomedical Data Science Graduate Certificate

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.

Biomedical Data Science Master's Degree

Master's program features:

  • You will develop an in-depth understanding of the techniques used to analyze vast amounts of biological data.
  • You will acquire knowledge and skills in bio- and clinical informatics that go beyond the undergraduate level.
  • Explore the design and implementation of novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine.

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Faculty

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