特拉华大学

To contribute to advances in sustainability and fostering a more equitable society in the future, you will need to learn how to analyze and harness geospatial data, which is already being generated in every aspect of our society. In this major you will study computer science, electrical engineering, geography and mathematics in a core curriculum that builds strong skills in handling large geospatial and environmental data sets. Having built those foundational skills, you will then develop the deep knowledge and context you will need to succeed in one of five topical concentrations, listed below in Areas of Study. In the capstone course, you will apply data analytics to pressing environmental topics, such as food security, water shortages, climate change and environmental health.

AREAS OF STUDY

• Cybersecurity
• Data Mining
• Environmental Data Science
• Management Information Systems
• Remote Sensing

CAREER OPTIONS

• Environmental Hazards
• Food Security
• Geospatial Information Scientist
• Geospatial Information Technologist
• Homeland Security
• Photogrammetry & Cartography
• Water Security

What is GIScience?

Geographic Information Science (GIScience) is the analysis and mapping of large geospatial data sets to better understand the world around us. GIScience allows us to harness the large amounts of data being collected today for the betterment of the environment and society. GIScientists help protect habitat for endangered species, assess areas at risk for lowered food production, map wildfires and many more tasks in the public and private sectors.

With the increasing reliance on cellular technology, satellites and the geospatial information they generate, the field is increasingly important and will develop new applications in the years to come.

What’s special about this program?

This major will help you develop in-demand skills, including managing and using large geospatial and environmental data sets, finding meaningful patterns in them, representing their complexity in graphs and tables, and distilling and presenting the coherent and logical stories they tell. These kinds of data science skills were required for 2.35 million job postings in 2015, according to QuantCrunch, a study commissioned by IBM.