Location:
Brooklyn, United States
Program Type:
Full Degree
Degree Level:
Master
Specialty:
Health Informatics

Program Overview

Program Description:
Rapidly increasing knowledge of the molecular biology of the cell has led to bioinformatics, a new discipline that transforms traditional biology into an information science. NYU-Poly’s Master of Science in Bioinformatics program prepares students to manage and study data from the explosion of information from the life sciences. The program meets industry's demand for professionals with solid foundations in genomics, proteomics, Perl & BioPerl, R & BioConductor, MySQL, sequence and pathway analysis, as well as a host of genome informatics tools and algorithms such as BLAST. Graduates from our master’s in bioinformatics program are well prepared to take advantage of the growing opportunities provided by the drop in genome sequencing costs, which is ushering in an era of personalized medicine. The program meets the needs of recent graduates from bachelor’s programs, individuals with advanced degrees working in industry, as well as those looking for a master’s program to enhance their preparation for medical school. It also benefits professionals who want to transition into a bioinformatics career. As a student in the program, you’ll be able to take advantage of our flexible curriculum and web-based training tools and instruction. You’ll master computer science skills such as programming and relational database design. And you’ll get hands-on experience with widely-used industry tools such as MySQL, Perl & BioPerl, BLAST, ClustalW, TCoffee, R & BioConductor, SwissProt, and PDB. The program will help you develop not just a theoretical understanding of bioinformatics, but also the depth of knowledge that comes from practicing its methods, including dynamic programming, profiles, and predicting protein secondary structures through hidden Markov chains and pathway analysis. These skills and more will give you the basic understanding of sequence analysis, protein structure prediction, and the relationship of structure to function needed to thrive and move forward in the field.

Additional Program Information

Accreditation:
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