Graduate Certificate in Ecological & Environmental Informatics
Terrestrial Ecosystems and Global Change Lab
Using NEON data to explore the relationship between biodiversity, forest structure, and climate
Aridity Index key for land-atmosphere feedbacks
Summer warming is turning the Arctic greener
GEODE lab members test a UAV over a burn site in Flagstaff.
New grants to study Arctic and tropical environmental change
Enhance your graduate degree with a certificate in Ecological & Environmental Informatics!
As human activities transform our land, atmosphere, and oceans, there is an increasing need to utilize large and disparate data sets to predict how ecosystems will respond to and influence future environmental change. The Graduate Certificate in Ecological & Environmental Informatics (EEI) provides students enrolled in graduate programs across NAU’s campus with the informatics and data science skills to leverage the data that are accumulating about the Earth’s natural and managed ecosystems to answer scientific questions, enhancing their research and career paths.
Who is eligible?
Current NAU graduate students enrolled in a STEM-related program are eligible to enhance their degree with an EEI certificate.
EEI Certificate Requirements
The EEI graduate certificate program requires 13-14 units and aims to train students to:
Identify, explain, and synthesize fundamental concepts of modern statistical methods, computing techniques, and modeling approaches;
Apply modern methods and techniques to critical problems in ecological and environmental informatics;
Compose and engage in highly effective written and oral communication, by focusing on key 21st century “soft skills” (e.g., science communication, collaboration, professional development
Select one of the following courses:
INF 502 Software Development and Methodologies
CS 550 Introduction to Parallel Computing
CS 599 Contemporary Developments (topics vary)
INF 511 Modern Regression I
Select one of the following courses:
INF 504 Data Mining and Machine Learning
INF 514 Modeling the Spread of Infectious Disease
INF 521 Mechanistic Ecological And Environmental Modeling
INF 626 and INF 626L Applied Bayesian Modeling (lecture and lab)
Select an additional class from the following options:
INF 514 Modeling the Spread of Infectious Disease
INF 521 Mechanistic Ecological And Environmental Modeling
INF 522 Ecoinformatics Tools And Data
INF 523 Informatics For Community Food, Energy And Water Systems