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GIScience and Environmental Data Analytics

College of Earth, Ocean and Environment

Department of Geography and Spatial Sciences

 

THE POWER OF GEOSPATIAL Data

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 geosptatial 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 sklils 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.

Sample curriculum

CISC106/108

 

General Computer Science for Engineers/Introduction to Computer Science
ENGL110

Critical Reading and Writing

 

GEOG372

Introduction to GIS

 

GEOG478

 

GIScience and Environmental Data Analytics Colloquium
MATH241

Analytical Geometry and Calculus A

 

MATH242 

 

Analytic Geometry and Calculus B

 

 

University Breadth Course

 

 

Elective Course

 

  First-Year Experience
CISC210

Introduction to Systems Programming

 

CISC220

Data Structures

 

ELEG305

Signals and Systems

 

GEOG471

Advanced GIS

 

GEOG478

GIScience and Environmental Data Analytics Colloquium

 

MATH243

Analytical Geometry and Calculus C

 

 

Foreign Language Courses

 

 

Multicultural Requirement

 

  University Breadth Course
ELEG404

Digital Imaging and Photography

 

GEOG481

Remote Sensing of the Environment

 

GEOG477/ENSC475

Spatial Data Analysis/Environmental Statistics

 

GEOG478

GIScience and Environmental Data Analytics Colloquium

 

MATH349/351

Elementary Linear Algebra/Engineering Mathematics I

 

PLSC222/GEOG351/MAST667

?/Field Methods in Meteorology/?

 

 

Discovery Learning Experience

 

 

Concentration Course

 

  Foreign Language Course
 
CISC437

Database Systems

 

GEOG478

GIScience and Environmental Data Analytics Colloquium

 

GEOG479

Capstone: GIScience and Environmental Data Analytics Colloquium

 

PHYS201/207

Introductory Physics/Fundamentals of Physics I

 

 

Concentration Courses

 

 

University Breadth Requirement

 

  Elective Courses or Directed Research