23 Master's degrees in Bioinformatics & Biostatistics in New York, United States
Biostatistics
The Biostatistics programme at University at Buffalo offers advanced training in statistical theory and applications. This M.A. degree provides a robust foundation in bioinformatics and research methods. Students can choose between a thesis or a project, benefiting from a STEM-designated curriculum delivered on a full-time basis.
Bioinformatics
The Bioinformatics program of Rochester Institute of Technology explores bioinformatics algorithms, molecular modeling, and machine learning and data mining.
Epidemiology and Biostatistics
The Epidemiology and Biostatistics programme at The City University of New York offers comprehensive training in population health study design. This STEM-designated degree is available through full-time or part-time study, with flexible online and hybrid delivery modes to suit professional needs and academic goals.
Biomedical Informatics
The Biomedical Informatics programme at New York University is a 12-month, full-time STEM course designed to develop expertise in computational biology. Delivered via a public study mode, this master's degree focuses on solving complex medical problems through advanced quantitative methods and translational research.
Biomedical Informatics
The Biomedical Informatics programme at the University at Buffalo is a comprehensive Master of Science degree. This postgraduate course provides expert training in managing health data and information systems. Students can engage in full-time study at the Jacobs School of Medicine and Biomedical Sciences to advance their careers.
Biostatistics
Defend the well-being of diverse populations by analyzing geographic, demographic, and biological information to solve critical problems in public health fields and medical and pharmaceutical industries with the Biostatistics programe from University at Albany.
Public Health - Biostatistics
The Public Health - Biostatistics concentration at Icahn School of Medicine at Mount Sinai equips you to unlock insights into common public health challenges and create effective interventions to address them.
Clinical Research Methods
The Clinical Research Methods programme at Columbia University provides Not Specified students with rigorous training in human study design. This public study mode course requires 30 credits and can be finished in one year of full-time study. It is designed for doctoral holders seeking expertise in clinical analysis.
Conservation Biology
We offer a master degree in Conservation Biology at the SUNY - College of Environmental Science and Forestry. This area entails study and maintenance of biological diversity at the level of genes, populations, communities, ecosystems and biomes; intellectual underpinnings include evolutionary theory, systematic biology, population biology and ecosystem science.
Biostatistics
This Biostatistics program at Icahn School of Medicine at Mount Sinai is designed to prepare you for a career as a data analyst and applied statistician in the biomedical sciences. It is the ideal advanced degree choice if your goal is to work as a biostatistician in a clinical, research, or industry setting.
Bioinformatics - Online
The Bioinformatics - Online M.Sc. at New York University is a 30-credit postgraduate programme designed for professionals seeking expertise in molecular biology and big data. Delivered via a flexible online study mode, this degree equips students with the computational skills to solve complex life science challenges.
Genetics, Genomics and Bioinformatics
The Genetics, Genomics and Bioinformatics programme at University at Buffalo is a two-year, full-time Master of Science degree. This interdisciplinary course focuses on hands-on laboratory research and modern genomic techniques. Students engage in high-level problem-solving to prepare for careers in biotechnology and medicine.
Computational Biology
Our M.S. in Computational Biology at Weill Cornell Medical College is designed to give students expertise in the quantitative methods underlying modern biomedical science. Computational methods and mathematical models are necessary to process, analyze, and interpret the vast amounts of biological data generated by high-throughput techniques.
Biostatistics
The Biostatistics program of University of Rochester is primarily intended for students who wish to follow careers in health-related professions such as those in the pharmaceutical industry and biomedical or clinical research organizations.
Public Health (Biostatistics)
Gain knowledge and skills you need to create change in our world. We offer a master degree in Public Health (Biostatistics) at the University at Buffalo.
Biostatistics
The Biostatistics M.P.H. at Columbia University is a professional master programme designed for public health practitioners. This public study mode course focuses on enhancing quantitative skills and statistical adaptation for medical care programmes. Applicants typically require a background in calculus for this advanced degree.
Biomedical Informatics
The Biomedical Informatics programme at Columbia University offers a comprehensive master degree for students seeking expertise in health data science. This public study mode course provides rigorous training in computational biology and clinical informatics, preparing graduates for leadership in medical research.
Biomedical Informatics
Biomedical Informatics from Stony Brook University offers three tracks in Clinical Informatics, Imaging Informatics and Translational Bioinformatics.
Biostatistics and Data Science
The M.Sc. in Biostatistics and Data Science at Weill Cornell Medical College provides comprehensive training in biostatistics and data analytics. This programme equips students with essential skills for tackling contemporary data challenges in healthcare. The duration and attendance format are not specified, but the focus is on preparing graduates for impactful careers in health-related fields.
Bioinformatics and Biostatistics
The Bioinformatics and Biostatistics programme at the University at Buffalo is a STEM-designated M.S. degree. This full-time course provides advanced training in statistical theory and data analysis for genetics. Students develop expert skills in bioinformatics and computer science over a standard two-year duration.