MS in CyberGIS and Geospatial Data Science
offered by UIUC

Public University
6370 acre campus
Estd. 1867

MS in CyberGIS and Geospatial Data Science
at
UIUC
Overview

Develop a deep understanding of fundamental principles in cyberGIS, geospatial data science, and high-performance computing

Duration	24 months
Total fee	₹6.51 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

MS in CyberGIS and Geospatial Data Science
at
UIUC
Highlights

Earn a degree from University of Illinois
Learn from industry experts

MS in CyberGIS and Geospatial Data Science
at
UIUC
Course details

Skills you will learn

Statistics Data visualization Data analysis Data Science Big Data

Who should do this course?

Individuals with a bachelor's degree in geography, GIS, computer science, engineering, mathematics, or a related field

What are the course deliverables?

Understand the fundamental concepts and theories of geospatial data science, including spatial statistics, spatial modeling, and geospatial information systems (GIS)
Gain knowledge of the various applications of CyberGIS across different domains, such as environmental monitoring, urban planning, and disaster management
Develop a deep understanding of big data analytics concepts and techniques and their application to geospatial data
Understand the principles of effective geospatial visualization and how to design impactful visualizations for various audiences
Gain awareness of the security and privacy considerations related to CyberGIS and geospatial data

More about this course

CyberGIS -a new generation of geographic information science and systems (GIS) in the era of artificial intelligence and big data -represents the latest innovative development in the fast-growing field of geospatial data science
Combining advances in high-performance and data-intensive computing with developments in geospatial data analysis, management, processing, and visualization, cyberGIS has rapidly emerged as a major force in private and public organizations and in higher education for harnessing the rapid geospatial data revolution
This program was designed to help working professionals meet the high demand for these skills across many industries, and advance in their career and become leaders in their field

MS in CyberGIS and Geospatial Data Science
at
UIUC
Curriculum

Geographic Information Science and Systems

Introduction to Remote Sensing

Principles of Geographic Information Science

Foundations of CyberGIS & Geospatial Data Science

High-Performance Geospatial Computing

Advanced Spatial Analysis

Geospatial Visualization & Visual Analytics

Geospatial Artificial Intelligence & Machine Learning

Graduate Capstone Project

MS in CyberGIS and Geospatial Data Science
at
UIUC
Faculty details

Su Yeon Han, Teaching Assistant Professor

Her areas of expertise are geo-visualization, Web-based GIS, social media analytics, geospatial Big Data analytics, spatiotemporal data analysis, geo-computation, data mining/knowledge discovery, and CyberGIS

Michael Minn, Teaching Assistant Professor

Anand Padmanabhan, Research Associate Professor

Prof. Anand Padmanabhan is a Research Associate Professor in the Department of Geography and Geographic Information Science at the University of Illinois at Urbana-Champaign (UIUC). He holds a Ph.D. degree in computer science from the University of Iowa and has research interests in advanced cyberinfrastructure, geographic information science and systems (GIS), cyberGIS, distributed and high-performance computing, and geospatial data science.

Shaowen Wang, Head Professor

Shaowen Wang is Professor and Head of the Department of Geography and Geographic Information Science; and Affiliate Professor of the Department of Computer Science, Department of Urban and Regional Planning, and School of Information Sciences at the University of Illinois Urbana-Champaign (UIUC). He has served as Founding Director of the CyberGIS Center for Advanced Digital and Spatial Studies at UIUC since 2013.