A Diverse Portfolio

Saint Louis University offers a variety of geospatial learning paths

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Saint Louis University’s (SLU, booth 1011) portfolio of geospatial higher education offerings aims to highlight the interdisciplinary nature of GEOINT and to teach students how it can be applied in an array of fields such as epidemiology, computer science, and more.

“There’s a broad range of geospatial research and training [at SLU], but it’s not all located in a single department or school,” said Mark Brickhouse, SLU’s geospatial advisor.

The centerpiece of SLU’s geospatial programming is its master of science in geographic information science, which features flexible coursework, research, and thesis options that accommodate working professionals. Core courses include topics like research methods, remote sensing, and digital cartography, while electives cover a broader spectrum of specialties such as synthetic aperture radar and modeling demography. SLU’s School for Professional Studies even offers online master’s degrees in strategic intelligence and cybersecurity. In addition to these graduate programs, SLU offers a traditional Ph.D. track in environmental sciences and GIS, as well as certificates in cybersecurity and coding available online through the Center for Workforce Development (CWD).

The SLU booth will feature information on the program’s varied geospatial curricula.

“This is important for us,” Brickhouse said. “We’re looking to expand our research partnerships with other organizations and potential funding agencies for SLU research programs.”

He added SLU is interested in raising the profile of its online training courses, which are geared toward students shifting careers or expanding their portfolio in new areas.

SLU’s location in downtown St. Louis positions it well to feed the city’s rapidly-expanding geospatial labor market, especially as NGA continues development of its Next NGA West campus.

Headline Image: A drone from Program Coordinator Vasit Sagan’s remote sensing laboratory collects agricultural data. 

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