The BSc in Data Science and Environmental and Sustainability Sciences at Northeastern University combines data science training with environmental and sustainability science. You’ll learn to analyse complex ecological and climate datasets using modern machine learning and spatial methods to support evidence-based environmental decisions.
The Bachelor of Science in Data Science and Environmental and Sustainability Sciences at Northeastern University offers a unique blend of data science and environmental studies. This interdisciplinary program equips students with the skills to analyze complex ecological and climate-related datasets. By leveraging modern machine learning and spatial analysis techniques, graduates will be prepared to support informed environmental decision-making.
Core course areas include:
Learning approach: The curriculum is designed to progress from foundational scientific and computational skills to more applied, project-based work. Students have the opportunity to select electives that align with personal interests, such as climate analytics, geospatial AI, conservation data science, or sustainability technology.
There are no specific GRE, GMAT, or GPA scoring requirements for this program. Prospective students should submit their applications through the Common Application or Coalition Application platforms. Additionally, English language proficiency must be demonstrated through accepted tests such as IELTS, TOEFL iBT, PTE Academic, or the Duolingo English Test.
Graduates of this program will be well-positioned for various roles in the fields of data science, environmental science, and sustainability. Career opportunities may include positions in environmental consulting, data analysis, policy development, and research, as well as roles in non-profit organizations focusing on sustainability initiatives. The combination of data science expertise and environmental knowledge will empower graduates to address pressing global challenges effectively.
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