Master of Science in Bioinformatics (information sciences concentration)

E73962

The Master of Science in Bioinformatics (information sciences concentration) is a graduate program that trains students to apply computational, data science, and information management methods to biological and biomedical data analysis.


Statements (45)
Predicate Object
instanceOf Master of Science program
bioinformatics program
graduate degree program
aimsToDevelop skills in analyzing high-throughput sequencing data
skills in applying algorithms to biological problems
skills in designing biomedical databases
skills in managing large-scale biological datasets
emphasizes computational analysis of biological data
data management in life sciences
information systems for biomedical research
fieldOfStudy bioinformatics
information science
focusesOn biomedical data analysis
computational methods for biological data
data science methods for biological data
information management methods for biological data
hasAcademicLevel master's
hasConcentration information sciences
includesTopic biomedical informatics
data governance in biomedical research
data standards in biomedicine
genomics data analysis
health information systems
ontologies and controlled vocabularies in life sciences
proteomics data analysis
integrates computer science with biology
data science with biomedical research
information management with life sciences
outcome ability to apply computational tools to biological questions
ability to communicate results of bioinformatics analyses
ability to manage and curate biomedical datasets
preparesFor careers in bioinformatics
careers in biomedical data analysis
careers in computational biology
careers in health informatics
teaches data integration in bioinformatics
database design for biological information
machine learning for biomedical data
programming for bioinformatics
scientific data visualization
statistical analysis of biological data
typicalApplicants students with backgrounds in biology
students with backgrounds in biomedical engineering
students with backgrounds in computer science
students with backgrounds in data science

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