This interdisciplinary bachelor’s programme combines data science with ecology and evolutionary biology to help you analyze biological systems using modern computational methods. You’ll build skills in machine learning, data visualization, and conservation-focused research while learning how evolution shapes biodiversity.
The Bachelor’s degree in Data Science and Ecology and Evolutionary Biology at Northeastern University is an innovative interdisciplinary program designed to equip students with the tools to analyze biological systems through advanced computational methods. This program emphasizes the integration of data science with ecological and evolutionary concepts, fostering a comprehensive understanding of how evolution influences biodiversity.
The curriculum offers a unique blend of foundational courses in computing and data science, coupled with in-depth studies in biological and ecological sciences. Students will engage with core topics in analytics, information systems, ecology, evolution, genetics, and conservation.
Indicative course areas include:
How you learn: The program is meticulously structured to connect data methods with biological questions, gradually increasing the application of analytics to ecological and evolutionary datasets throughout your studies.
Capstone / thesis: Confirm whether the degree includes a capstone project, research thesis, or a required applied project component with the university.
Admission to the program is generally based on your academic background and application materials. Specific GRE/GMAT/GPA minimums are not listed, so it is advisable to confirm any program-specific thresholds directly with Northeastern University.
English language requirements:
Note: Requirements may vary based on applicant profiles. Always verify the latest minimum scores on the official Northeastern admissions page.
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