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Online Masters in Bioinformatics, BioMedical Informatics No GRE - Updated 2022
Master of Science in Bioinformatics — Online
College description: Northeastern University is committed to delivering cutting-edge programs that foster interdisciplinary thinking, research, and the pursuit of innovation-driven discoveries that have an impact on lives. That commitment and vision are at the very core of the MS in Bioinformatics. Combining challenging academics in biology, computer science, and information technology with real-world experience, the program helps students integrate the knowledge, skills, experience, and confidence they need to achieve their goals and make a difference in our world. The Master of Science in Bioinformatics is structured to provide students with the skills and knowledge to develop, evaluate, and deploy bioinformatics and computational biology applications.
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Northeastern University’s Master of Science program in Bioinformatics provides cross-disciplinary training in biology, computer science, and informational technology for today’s cutting-edge jobs in the biotechnology and pharmaceutical industries.
The Master of Science in Bioinformatics is structured to provide students with the skills and knowledge to develop, evaluate, and deploy bioinformatics and computational biology applications.
Data Analytics: The Data Analytics concentration is designed to provide students with foundational knowledge in data science—including data management, machine learning, data mining, statistics, and visualizing and communicating data—that can be applied to data-driven decision making in any discipline.
The university online format allows students to participate in the program anywhere in the world
GRE scores recommended but not required
Official exam scores from either the TOEFL iBT, IELTS, or PTE exam
Master of Science in BIoinformatics General Requirements
DA 5030 - Introduction to Data Mining/Machine Learning
- GRE Required:
- Financial Aid:
Bioinformatics Master Degree
College description: The last decade has seen unprecedented changes in biotech, biomedicine, biomanufacturing, and bioengineering. Most of it is fueled by new genomics and other omics technologies that generate massive amount of data, but also do so at a higher and higher resolution going down to single molecules and single cells. The resulting data need to be interpreted carefully, because a single mutation in a base (e.g., “SNP”) could be the cause of a disease. The resulting data is massive, as biotech’s Moore’s law grows exponentially (doubling every five months in comparison to computers’ doubling every eighteen months).
Students who earn a Bioinformatics Advanced Certificate may apply those credits towards the Bioinformatics Master's Degree. Note that only 9 credits from the Advanced Certificate can be used towards the Bioinformatics Master Degree program.
Ranked #2 in Best Online Graduate Information Technology Programs by the students.S. News and World Report
The NYU Tandon Bridge course is recommended to those interested in a Bioinformatics master's degree who are lacking a Bioinformatics degree or other substantial related experience.
GRE or GMAT Score the university recognize that due to COVID-19 restrictions some applicants may experience difficulty in taking the GRE test and, in response, the New York University is committed to being flexible. For the Spring 2021 and Fall 2021 terms, the GRE is not required for all NYU Tandon Online MS programs.
Students will participate in interactive online modules, live webinars, assignments, and tests.
The online course is aimed at introducing the foundational ideas from computer science in designing and implementing bioinformatics algorithms.
The online course is aimed at introducing the key ideas from biology and biochemistry and how they are used in modern biotechnology.
The online course is aimed at introducing the fundamental concepts from mathematics, probability and statistics, as relevant to bioinformatics and computational biology.
This online course will introduce the basics of statistics and its applications in various fields of biology. It will lean towards practical applications, allowing for an intuitive understanding of concepts and some rigor in the application of statistics.
This online course is aimed at developing practical machine learning and econometric skills with applications to biological data. The course will use examples from bioinformatics application areas throughout and will emphasize translational aspects.
The online proteomics course contributes an application focused specialty class to the bioinformatics curriculum. Thus, each week will include a mix of interactive approaches from background learning, to understanding experimental methodology pro and con, to software usage and sophisticated bioinformatics approaches to prediction.
The online course is aimed at developing practical bioinformatics skills of next generation sequencing analysis.
This online course will introduce will expose the students to different aspects of the data analysis and modeling activities that are expected of a Bioinformatician or a Computational Biologist. This course will explore a different set of online resources that contain complex data models of data ; the data thus collected will be used to expose novel model reconstruction tools. Other online resources and related exchange formats will be explored in order to show how simulation of biological systems models in its different forms has become more and more usable and an important tool for biomedicine.
The online course is aimed at introducing the key ideas from population genetics and how they are used to understand the interaction of basic evolutionary processes that determine the genetic composition and evolutionary trajectories of natural populations.
Machine learning concepts and tools for statistical genomics will be addressed along with distance concept, cluster analysis, heat map and class discovery.
- GRE Required:
- Financial Aid:
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