Data Science for Environmental Applications

This graduate certificate will allow students to develop skills, tools, and techniques to address increasingly complex environmental questions using data science. The core of the certificate will be three 4-credit classes starting with applied statistics in environmental science and a choice of two out of three 4-credit classes that include multivariate methods, time-series analysis, and spatial analysis. This is combined with three 2-credit seminar classes in topics including data wrangling & data visualization, machine learning, and dashboard & app development. All work will be done in an open-source environment using R, R markdown, and Shiny.

Why Consider a Data Science for Environmental Applications Certificate?

The role of big data, statistical analysis, and programming are critical aspects of today's environmental job market. The emphasis throughout the certificate will be on applied methods to increase job-ready skills.

Environmental Scientist | Environmental Consultant | Project Manager | Data Analyst | Statistician

• The Application for Admission
• $70 non-refundable application fee
• Official transcripts (an official transcript evaluation from an approved organization may also be required)
• Evidence of English language proficiency
• Declaration of Financial Responsibility
• An essay that helps the Admissions Committee understand your academic goals, related experiences and/or preparatory course work, and professional goals