MS in Biomedical Data Science offered by Stanford University
- Private University
8180 acre campus- Estd. 1885
MS in Biomedical Data Science at Stanford University Overview
Duration | 24 months |
Start from | Start Now |
Total fee | ₹1.46 Crores |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
MS in Biomedical Data Science at Stanford University Highlights
- Earn a degree after completion of the course
- Financial aid facility available
MS in Biomedical Data Science at Stanford University Course details
- Recent graduates with bachelor's degrees in computer science, statistics, bioinformatics, biology, biomedical engineering, or related fields who want to specialize in biomedical data science and pursue careers in biotechnology, pharmaceuticals, healthcare analytics, or academic research
- Working professionals in healthcare, biotechnology, pharmaceuticals, or related industries seeking to advance their careers by acquiring specialized expertise in biomedical data science and data-driven decision-making
- Introduction to biomedical data types and sources
- Biomedical databases and data repositories
- Data preprocessing and quality control techniques
- Statistical methods for analyzing biomedical data
- Introduction to bioinformatics tools and databases
- Genomics, proteomics, and metabolomics data analysis
- This course is designed to provide students with advanced knowledge and skills in data science as applied to biomedical research and healthcare
- This course equip students with advanced expertise in leveraging data science methodologies to address complex challenges in the biomedical field
- This course integrates principles from data science, computer science, and biomedical engineering to provide a comprehensive understanding of how data analytics can revolutionize healthcare and biomedical research
MS in Biomedical Data Science at Stanford University Curriculum
Economics of Health and Medical Care
Foundations of Computational Human Genomics
Biomedical Informatics Student Seminar
Representations and Algorithms for Molecular Biology: Lectures
Translational Bioinformatics
Mathematical Models and Medical Decisions
Machine Learning Approaches for Data Fusion in Biomedicine
Cloud Computing for Biology and Healthcare
Deploying and Evaluating Fair AI in Healthcare
Principles of Pharmacogenomics
Data Driven Medicine
Precision Practice with Big Data
Informatics in Industry
Applied Clinical Informatics Seminar
Modeling Biomedical Systems
Introduction to Biomedical Data Science Research Methodology
Representations and Algorithms for Computational Molecular Biology
Data Science for Medicine
MS in Biomedical Data Science at Stanford University Entry Requirements
- Education: Bachelor's degree
- Not mentioned
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