Environmental Data Scientist
Model environmental systems using advanced data and analytical methods.
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FAQ
Learn More About the Master’s in Environmental Data Analytics
Environmental Data Analytics is a field that applies data-driven approaches to address environmental issues. It involves the use of statistical and computational methods to analyze large environmental datasets related to various areas such as climate change, habitat loss, resource management, air and water quality, and waste management. The insights derived from this analysis can inform decision-making processes in environmental consulting, research institutions, governmental agencies, non-profit organizations, and private sector companies. The field is rapidly expanding due to the increasing demand for professionals with expertise in both environmental science and data analytics.
The MS in Environmental Data Analytics degree prepares students for a career in environmental science and data analytics. Emphasis is placed on advanced statistical methods, machine learning algorithms, and geospatial analysis, equipping students with the tools needed to derive meaningful insights from diverse and extensive environmental datasets.
Your online education should be affordable and manageable. Thanks to our promise to keep tuition flat through 2030, you won’t be burdened with unexpected increases or fees.
Our team of distance education concierges will work with you through the admissions process to help you plan and pay for your degree. Learn more about the costs here.
The timeframe for completion is up to you! Enroll in 6 credits per term and complete the program within just one year. Alternatively, opt for part-time study by taking one course at a time. Whichever path you choose, we’re here to support your educational journey every step of the way. Contact your concierge or advisor to create your personalized plan.
Research Core: 15 credits
- RSCH 510 Research Fundamentals
- MATH 510 Tools and Technologies for Data Analysis
- MATH 525 Quantitative Research Design and Statistics
- GISC 505 GIS & Remote Sensing for Environmental Solutions
- RSCH 610 Research Communication
Major Program Core: 15 credits
- ESCI 501 Introduction to Environmental Science and Data Analytics
- SUST 510 Climate Dynamics
- ESCI 610 Environmental Analysis: Atmosphere, Soil and Water
- ESCI 601 Advanced Data Analytics in Environmental Science
- ESCI 620 Big Data in Environmental Science
For course requirements and a better look into your program, view our full course catalog. Then apply online for free to get started.
The MS degree is a traditional graduate program focused on deepening scientific understanding through research and academic study. Students typically specialize in a particular field of science and learn the research skills related to their discipline.
The MS program is centered around developing a strong foundation in research and scientific inquiry:
- Research Methodology: Students learn how to design and conduct experiments, collect and analyze data, and interpret results within the context of their scientific discipline.
- Critical Thinking: The program emphasizes the ability to think analytically and critically about scientific problems, forming the basis for sound research and decision-making.
- Technical Expertise: Depending on the field of study, students may acquire advanced technical skills in areas such as data collection techniques, fieldwork, GIS mapping, computational modeling, or statistical analysis.
- Academic Writing: The ability to write clearly and effectively is honed, particularly through the process of producing a thesis or research papers suitable for publication.
WHAT YOU WILL STUDY
Environmental Data Analytics
Course Examples
Climate Dynamics
This course covers climate science and anthropogenic contributions, delving into the technical and economic challenges of mitigation and adaptation, and explores strategies to enhance resilience in natural and human communities.
Advanced Data Analytics in Environmental Science
This advanced analytics course explores sophisticated environmental data analysis methods like machine learning, spatial analysis, and time series analysis, applying these techniques to solve real-world environmental problems.
Big Data in Environmental Science
This course explores the challenges and opportunities of big data in environmental science, building skills in managing and interpreting large datasets—storage, retrieval, and analysis—for environmental research and decision-making.
Learn from Leaders
Realizing Your Potential. Protecting Your Planet.
Why Unity Distance Education?
Learning Flexibility
Balance life, work, and education by studying when and where you want.
High Educational Value
Nationally recognized educational quality at an affordable price.
Multiple Start Dates
Up to 5 terms each year let you take breaks without affecting financial aid.
Real Career Outcomes
Ranked in the top 1% of universities nationwide by the Social Mobility Index.
Accelerated Path
Fast-track your Master’s degree and finish your program in as little as one year.
Personalized Guidance
Dedicated to turning career and academic aspirations into tangible achievements.
Inspiring Faculty
Connect with experts who’ve built real careers in the field.
Sustainability Core
Focused on sustainable practices for an environmentally aware future.
