Geoinformatics and Geospatial Analytics, Ph.D. 48 months PHD Programme By Saint Louis University |TopUniversities
Programme Duration

48 monthsProgramme duration

Tuitionfee

1,310 USDTuition Fee/year

Main Subject Area

GeophysicsMain Subject Area

Programme overview

Main Subject

Geophysics

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Students in Saint Louis University's geoinformatics and geospatial analytics doctoral program study the science and technology dealing with the acquisition, storage, processing production, presentation and dissemination of geoinformation using the theory and practical implications of geodesy within information science infrastructure.
The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever-increasing time-stamped, location-based data from sensors as diverse as satellites, drones and smartphones have created unprecedented demand and opportunities for code-savvy geospatial professionals with the ability to automate processing, visualizing and finding patterns in both structured and unstructured data.

Programme overview

Main Subject

Geophysics

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Students in Saint Louis University's geoinformatics and geospatial analytics doctoral program study the science and technology dealing with the acquisition, storage, processing production, presentation and dissemination of geoinformation using the theory and practical implications of geodesy within information science infrastructure.
The core of geoinformatics is geospatial analytics, a branch of data science that focuses on developing cutting-edge technologies supporting processes of acquiring, analyzing and visualizing geospatial Big Data. Advances in various location-aware technologies, (e.g., GPS, the Internet of Things (IoT), mobile sensors, remote sensing), and ever-increasing time-stamped, location-based data from sensors as diverse as satellites, drones and smartphones have created unprecedented demand and opportunities for code-savvy geospatial professionals with the ability to automate processing, visualizing and finding patterns in both structured and unstructured data.

Admission Requirements

4 Years
Aug

Domestic
1,310 USD
International
1,310 USD

Scholarships

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