Iron – The Swiss Army Knife for Bacteria
Work full time in the field before graduation
The Hubs of Medicine and Science - Classes in Boston, San Francisco or online

The Hybrid Science

The potential of science in a data-driven world just keeps growing. 

Data and analytics applied to science give rise to more rapid discoveries, swifter technological advances, and most importantly, more immediate impacts on the human condition.

Integrated knowledge from biological, computational and mathematical disciplines creates a unique professional perspective preparing graduates to play pivotal roles in today’s cutting-edge life sciences, biotechnology and pharmaceutical industries.

Students take classes in a range of disciplines including molecular biology, biochemistry, statistics, ethics, data mining and machine learning, giving them a competitive edge in the ever-expanding life sciences sector.  

This is so much more than crunching numbers.  It’s changing lives.

Degree Options

Coursework and Requirements
A sampling of the types of courses you could take here.
Statistics for Bioinformatics
MATH 7340

Introduces the concepts of probability and statistics used in bioinformatics applications, particularly the analysis of microarray data. Uses statistical computation using the open-source R program. Topics include maximum likelihood; Monte Carlo simulations; false discovery rate adjustment; nonparametric methods, including bootstrap and permutation tests; correlation, regression, ANOVA, and generalized linear models; preprocessing of microarray data and gene filtering; visualization of multivariate data; and machine-learning techniques, such as clustering, principal components analysis, support vector machine, neural networks, and regression tree.

Data Mining Techniques
CS 6220

Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. The class project involves hands-on practice of mining useful knowledge from a large data set.

Advanced Genomics
BIOL 5591

Intended for those familiar with the basics of genetics, molecular and cellular biology, and biochemistry, all of which are required to appreciate the beauty, power, and importance of modern genomic approaches. Introduces the latest sequencing methods, array technology, genomic databases, whole genome analysis, functional genomics, and more.

Ready to Apply?

Bioinformatics Quick Facts
Admission Deadlines


  • 6/1 International
  • 7/15 International F1
  • 8/1 Domestic


  • 10/1 International
  • 10/31 International F1
  • 12/1 Domestic
7 Concentrations for further specialization
  • Bioinformatics and Cheminformatics
  • Bioinformatics Enterprise
  • Biotechnology
  • Data Analytics
  • Health Informatics
  • Medical Health Informatics
  • Omics
Of students land industry-related jobs following graduation

5-9% expected national job growth for bioinformatic scientists by 2026 (US Department of Labor)

average annual salary for bioinformaticians in 2018 (Glassdoor)
Not ready for a degree?

Learn more about our certificates that can stack into a MS degree or upskill yourself in the workforce.

life science companies located in the Boston area

Real World Experience

Northeastern’s bioinformatics students benefit from Northeastern’s extensive network of industry partners in Boston, the San Francisco Bay Area, and around the globe. Masters degree students complete either a 4-8 month co-op work experience or participate in an industry-based independent project, providing an invaluable opportunity to gain professional training within the commercial sector.

Learn More About Co-Op
The Minds Behind COS Bioinformatics
Faculty Spotlight
Jared Auclair
Northeastern researcher and Director of BATL, Dr. Jared Auclair trains regulators around the world to speed up the approval of new drug treatments.
Steve Vollmer
Studies how coral hybridization int eh caribbean could change of our understanding of disease and genetics.
Albert Lazlo Barabasi
A Network Scientist, and Northeastern’s Center for Complex Network Research created an interactive visualization of Nature’s vast catalog – see how the integration of scientific disciplines leads to discoveries.

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