Focused on the convergence of molecular bioinformatics, biostatistics and statistical genetics, bioinformatics optimizes translational medicine through the transformation of data into diagnostics, prognostics and therapeutics.
Analyze genetic, genomic, and biological data to become skilled at identifying different types of genome-scale measurements in molecular biology and genomic medicine. Case studies and a course project will enforce your understanding of course material and address new questions in the biomedical industry.
You Will Learn
- Multi-scale omics data generation and analysis
- Utility and limitations of public biomedical resources
- Machine learning and data mining
- Issues and opportunities in drug discovery
- Mobile/digital health solutions
Programming ability at the level of Stanford Course CS106A, and familiarity with statistics and biology
Certificates and Degrees
- Biomedical Informatics MS Degree : Biomedical Informatics Academic Courses
- Biomedical Informatics: Data, Modeling and Analysis Graduate Certificate : Required Courses (3)