Geographic Information Science, M.S.
Saint ÀË»¨Ö±²¥ University’s master’s program in geographic information science addresses an increasing demand for professionals with geospatial science skills. It offers a combination of geospatial theory and practical training.
SLU's interdisciplinary Master of Science (M.S.) in Geographic Information Science (GIScience), also known as geospatial science, from the Earth, Atmospheric, and Geospatial Science, is offered in cooperation with the Department of Sociology and Anthropology and other departments that offer GIScience courses (e.g., Departments of Biology and Computer Science). The program combines geospatial theory and practical training in geographic information systems (GIS), remote sensing and global positioning system software. The program prepares students to become experts well qualified to meet the increasing demand for experts in geospatial analytics, imaging science, photogrammetry, spatial statistics, machine learning and artificial intelligence. As an interdisciplinary program, the M.S. in GIScience focuses on research to address environmental, social and economic issues.Ìý
Students apply GIS, remote sensing, geovisualization, spatial analysis and statistics, database management and GIS programming within natural science, social science and integrative human-environment domains using innovative technologies and software programs (e.g., ArcGIS, QGIS, ENVI+IDL, SARscape, Python, GeoDA, R).
Curriculum Overview
Students in the program choose from the following completion options:
- A coursework-only, no-thesis option for students who do not plan to pursue a doctoral degree or academic career
- A coursework-plus-research-project option for students who wish to enhance their geospatial research skills in a particular area
- A coursework-plus-thesis option for students who plan to pursue a doctoral degree or academic career
Students who choose the coursework-only or the coursework-plus-research-project options can structure their coursework to complete the program in one year.
Other program highlights:
- Curriculum informed by the Geographic Information Science and Technology Body of Knowledge (GIS&T BoK),
- Late-afternoon or evening classes that accommodate working professionals
- Instructors with advanced degrees who work and conduct research in the field
- State-of-the-art research labs equipped with modern computing, commercial and open-source software tools, various remote-sensing sensors and manned and unmanned aircrafts
Fieldwork and ÀË»¨Ö±²¥ Opportunities
Department of Earth, Atmospheric, and Geospatial ScienceÌýfaculty work and conduct research in the field. They have won grants from various institutions, including the National Aeronautics and Space Administration (NASA), U.S. Centers for Disease Control and Prevention, U.S. Environmental Protection Agency, Geological Society of America, National Geospatial Intelligence Agency, National Institutes of Health, National Park Service, National Science Foundation, U.S. Army Corps of Engineers, Electric Power ÀË»¨Ö±²¥ Institute, Missouri Department of Natural Resources, Ameren and others.Ìý
Careers
Graduates from SLU’s GIS master’s program have a very good employment outlook. Employment in this field is growing at an annual rate of almost 35%, with the commercial subsection of the market expanding by 100% each year, according to the Geospatial Information and Technology Association.
Recent graduates from this program have been employed by various environmental, remote sensing and GIS companies, including Bayer, the National Geospatial-Intelligence Agency and U.S. Geological Survey (USGS).
Admission Requirements
Application Requirements
- Application formÌý
- Three letters of recommendation
- Transcript(s)
- Professional goal statement
- ¸éé²õ³Ü³¾Ã©
- Test scores from the GMAT, LSAT, or GRE are not required but can be submitted to support the applicationÌý
Requirements for International Students
All admission policies and requirements for domestic students apply to international students. International students must also meet the following additional requirements:
- ¶Ù±ð³¾´Ç²Ô²õ³Ù°ù²¹³Ù±ðÌýEnglish Language Proficiency
- Financial documents are required to complete an application for admission and be reviewed for admission and merit scholarships.Ìý
- Proof of financial support that must include:
- A letter of financial support from the person(s) or sponsoring agency funding the student's time at Saint ÀË»¨Ö±²¥ University
- A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of the student's study at the University
- Academic records, in English translation, of students who have undertaken postsecondary studies outside the United States must include:
- Courses taken and/or lectures attended
- Practical laboratory work
- The maximum and minimum grades attainable
- The grades earned or the results of all end-of-term examinations
- Any honors or degrees received.
WES and ECE transcripts are accepted.
Application and Assistantship Application Deadlines
The final deadline for fall admittance is May 1 for international students and Aug. 1 for domestic students. To be considered for assistantships, students should apply by Feb. 1.
Review Process
Applications will be reviewed on a rolling basis as received.
Tuition
Tuition | Cost Per Credit |
---|---|
Graduate Tuition | $1,370 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships, Assistantships and Financial Aid
For priority consideration for a graduate assistantship, apply by the program admission deadlines listed. Fellowships and assistantships provide a stipend and may include health insurance and a tuition scholarship for the duration of the award.Ìý
- Graduates will be able to define geographic information science in terms of its key scientific themes and fields of application.
- Graduates will be able to discuss how GIS and remote sensing are used to investigate problems related to sustainability and environmental science.
- Graduates will be able to demonstrate effective written and oral communication skills needed to disseminate geographic information.
- Graduates will be able to apply appropriate research design methods to address problems that are germane to the field of GIScience and applied geospatial analysis.
- Graduates will be able to demonstrate practices and approaches for working effectively on team-based projects.
- Graduates will be able to demonstrate effective cartographic/geovisualization skills employing principles of map design and graphic representation techniques.
- Graduates will be able to demonstrate knowledge of geospatial data in terms of Earth geometry, georeferencing systems, map projections, data quality and metadata standards and practice.
- Graduates will be able to compare and contrast different approaches to geospatial data modeling involving vector, raster or hybrid representations.
- Graduates will be able to demonstrate the use of relational database management systems as applied to geospatial data.
- Graduates will be able to apply geometric measurement techniques to quantify distance, direction, shape, area, proximity and connectivity of geospatial features.
- Graduates will be able to apply basic analytical operations involving buffering, overlays and map algebra.
- Graduates will be able to apply advanced analytical methods including point-pattern analysis, kernel-density estimation, spatial-cluster detection, network analysis and multicriteria evaluation.
- Graduates will be able to apply surface analysis techniques to effectively represent continuous surfaces, calculate surface derivatives, analyze surface flow and analyze intervisibility.
- Graduates will be able to apply spatial statistics and geostatistics involving measures of spatial autocorrelation and spatial interpolation techniques.
- Graduates will be able to explain the principles of active and passive remote sensing observation.
- Graduates will be able to describe and interpret remote sensing spectra and imagery.
- Graduates will be able to perform supervised, unsupervised and object-based classification techniques using remote sensing data.
- Graduates will be able to apply image processing techniques including radiometric correction, atmospheric correction, change detection, target detection and data fusion.
Code | Title | Credits |
---|---|---|
³Ò±õ³§Ìý5010 | Introduction to Geographic Information Systems | 3 |
³Ò±õ³§Ìý5030 | Geospatial Data Management | 3 |
³Ò±õ³§Ìý5040 | Introduction to Remote Sensing | 3 |
³Ò±õ³§Ìý5050 | Digital Image Processing | 3 |
³Ò±õ³§Ìý5080 | Digital Cartography and Geovisualization | 3 |
³Ò±õ³§Ìý5090 | Introduction to Programming for GIS and Remote Sensing | 3 |
GIS Electives | 12 | |
Select four from the following: | ||
µþ±õ°¿³¢Ìý5190 | Geographic Information Systems in Biology | |
°ä³§°ä±õÌý5750 | Introduction to Machine Learning | |
°ä³§°ä±õÌý5760 | Deep Learning | |
°ä³§°ä±õÌý5830 | Computer Vision | |
·¡°ä·¡Ìý5153 | Image Processing | |
³Ò±õ³§Ìý5061 | Photogrammetry | |
³Ò±õ³§Ìý5091 | Advanced Programming for GIS and Remote Sensing | |
³Ò±õ³§Ìý5092 | Machine Learning for GIS and Remote Sensing | |
³Ò±õ³§Ìý5100 | Microwave Remote Sensing: SAR Principles, Data Processing and Applications | |
³Ò±õ³§Ìý5110 | Interferometric Synthetic Aperture Radar | |
³Ò±õ³§Ìý5120 | Geospatial Analytics | |
³Ò±õ³§Ìý5130 | Human Geography | |
³Ò±õ³§Ìý5140 | Satellite Geodesy | |
³§°¿°äÌý5640 | Demographic Methods, Analysis, and Public Policy | |
³§°¿°äÌý5670 | Spatial Demography – Applied Spatial Statistics | |
Total Credits | 30 |
Continuation Standards
Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.
Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollmentÌýunless otherwise noted. Ìý
Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.
This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.
Full-time Student (One-Year)
Year One | ||
---|---|---|
Fall | Credits | |
³Ò±õ³§Ìý5010 | Introduction to Geographic Information Systems | 3 |
³Ò±õ³§Ìý5040 | Introduction to Remote Sensing | 3 |
³Ò±õ³§Ìý5090 | Introduction to Programming for GIS and Remote Sensing | 3 |
GIS Elective | 6 | |
Ìý | Credits | 15 |
Spring | ||
³Ò±õ³§Ìý5030 | Geospatial Data Management | 3 |
³Ò±õ³§Ìý5080 | Digital Cartography and Geovisualization | 3 |
³Ò±õ³§Ìý5050 | Digital Image Processing | 3 |
GIS Elective | 6 | |
Ìý | Credits | 15 |
Ìý | Total Credits | 30 |
Part-time Student (Two-Years)
Year One | ||
---|---|---|
Fall | Credits | |
³Ò±õ³§Ìý5010 | Introduction to Geographic Information Systems | 3 |
³Ò±õ³§Ìý5090 | Introduction to Programming for GIS and Remote Sensing | 3 |
Ìý | Credits | 6 |
Spring | ||
³Ò±õ³§Ìý5030 | Geospatial Data Management | 3 |
³Ò±õ³§Ìý5080 | Digital Cartography and Geovisualization | 3 |
Ìý | Credits | 6 |
Summer | ||
GIS Elective | 3 | |
Ìý | Credits | 3 |
Year Two | ||
Fall | ||
³Ò±õ³§Ìý5040 | Introduction to Remote Sensing | 3 |
GIS Elective | 3 | |
Ìý | Credits | 6 |
Spring | ||
³Ò±õ³§Ìý5050 | Digital Image Processing | 3 |
GIS Elective | 3 | |
Ìý | Credits | 6 |
Summer | ||
GIS Elective | 3 | |
Ìý | Credits | 3 |
Ìý | Total Credits | 30 |
For more information about our program, please contact:
Zachary Phillips, Ph.D.
GIS certificate coordinator, geographic information science
zachary.phillips@slu.edu
Vasit Sagan, Ph.D.
Graduate program coordinator, geographic information science
vasit.sagan@slu.edu