Academics: MEDS Program
The Bren School Master of Environmental Data Science degree prepares you for a career advancing solutions to environmental problems through data science. The 11-month MEDS program provides in-depth training in applications including R, Python, and SQL; software training to leverage data visualization to communicate compelling scientific narratives; and culminates in a capstone project tackling a real-world environmental data science problem.
- 15 core courses (48 units) in data science, workflows, evaluation and analysis, and data visualization
- Capstone Project (8 units) to develop professional problem-solving skills
- Total of 56 units
The MEDS program begins with a six-week, full-immersion, summer session (August - September) to develop a strong foundation of basic data-science skills. Students learn basic coding, computational, statistical, and team-science skills.
EDS 212 Essential Math for Environmental Data Science (2 units)
EDS 214 Analytical Workflows and Scientific Reproducibility (2 units)
EDS 215 Introduction to Data Storage and Management (2 units)
EDS 216 Meta-analysis and Systematic Reviews (2 units)
EDS 221 Scientific Programming Essentials (4 units)
EDS 211 Team Science, Collaborative Analysis and Project Management (2 units)
EDS 213 Metadata Standards, Data Modeling and Data Semantics (2 units)
EDS 220 Remote Sensing and Environmental Data (4 units)
EDS 222 Statistics for Environmental Data Science (4 units)
EDS 223 Spatial Analysis for Environmental Data Science (4 units)
EDS 232 Machine Learning in Environmental Science (4 units)
EDS 240 Data Visualization and Communication (4 units)
EDS 241 Environmental Policy Evaluation (4 units)
EDS 411A Capstone Project (4 units)
EDS 230 Modeling Environmental Systems (4 units)
EDS 231 Text and Sentiment Analysis for Environmental Problems (4 units)
EDS 411B Capstone Project (4 units)
Spanning Winter and Spring quarters, MEDS students will participate in a small-group (3-4 students), client-driven capstone project. Capstone projects provide real-world experience for students to advance an environmental objective with data-driven solutions for a business, public agency, or non-profit organization. Students will leave the program with real, transferable experience and an expanded professional network.
Academic Calendar & Class Schedule
The MEDS program begins with six-weeks of Summer intensive courses to develop a strong foundation of data science skills. This 11-month program runs Summer through the following Spring Quarter with graduation in June.