Geoinformatics and Geospatial Analytics, B.S.
Â鶹´«Ã½â€™s Bachelor of Science in Geoinformatics and Geospatial Analytics prepares graduates for geospatial careers around the globe. It combines theory and practice to train the geospatial professionals of tomorrow.Ìý
SLU's B.S. in geoinformatics and geospatial analytics from the Geospatial Institute and the Department of Environmental and Atmospheric Sciences is offered in cooperation with the mathematics and statistics and computer science departments. This program trains students to be leading experts in the field of geospatial science. The program combines mathematical and geospatial theory with practical experience in computer science, geographic information systems (GIS), remote sensing and global position systems.
The program prepares students for the current and future challenges of the growing geospatial industry and to meet increasing demands for experts in geospatial intelligence, geospatial analytics, spatial modeling and statistics, photogrammetry, machine learning, artificial intelligence and more. As an applied science, SLU's B.S. in geoinformatics and geospatial analytics program focuses on modern, global issues such as the environment, society and economy.Ìý
Students develop a foundation in mathematical and geospatial theory and computer programming, while applying GIS, Global Positioning Systems (GPS), remote sensing, geovisualization, spatial analyses and statistics, database management and programming skills within the natural, social science and physical sciences using innovative technologies and software programs (e.g., ArcGIS, QGIS, ENVI+IDL, SARscape, Python, GeoDA, Google Earth Engine, R).
Curriculum Overview
Students completing the Bachelor of Science curriculum in geoinformatics and geospatial analytics obtain a technically rigorous and applicative degree, modeled from curricula of 70+ other programs around the United States. The B.S. degree requires credits in GIS, math and computer science in addition to core courses in the College of Arts and Sciences.
Fieldwork and Research Opportunities
Department of Earth, Atmospheric, and Geospatial ScienceÌýfaculty members work and conduct research in the field. They have been awarded 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 Research Institute, Missouri Department of Natural Resources, Ameren and others.
Careers
Graduates from programs in the Geospatial Institute (GeoSLU) are employed in careers in environmental science, remote sensing, GIS and geospatial intelligence fields. Recent graduates work for organizations such as ESRI, the National Geospatial Intelligence Administration and the United States Geological Survey,Ìý
Globally, the geospatial industry has a current growth rate of approximately 50% a year. The St. Louis region is emerging as a global center for innovative research and technology, particularly for geospatial technology. This is driven by a vibrant entrepreneurial community, excellent research universities, a robust network of established industry thought leaders and the presence of the National Geospatial Intelligence Agency (NGA).Ìý
According to a recent report from St. Louis-based entrepreneurial support organization ITEN,Ìýtechnology positions in the region areÌýexpected to grow 60% in the next three to five years. The Missouri Department of Economic Development has estimated that the geospatial industry is growing quickly and is projected to earn $100 billion in revenue by 2030. The geospatial industry currently accounts for 500,000 jobs nationally and Missouri will have 5,000 new jobs in the next few years, contributing roughly $600 million to the state's economy.
Admission Requirements
Â鶹´«Ã½ also accepts the Common Application.
Freshman
All applications are thoroughly reviewed with the highest degree of individual care and consideration to all credentials that are submitted. Solid academic performance in college preparatory coursework is a primary concern in reviewing a freshman applicant’s file.
To be considered for admission to any Â鶹´«Ã½ undergraduate program, applicants must be graduating from an accredited high school, have an acceptable HiSET exam score or take the General Education Development (GED) test.Ìý
Transfer
Applicants must be a graduate of an accredited high school or have an acceptable score on the GED.
Students who have attempted fewer than 24 semester credits (or 30 quarter credits) of college credit must follow the above freshmen admission requirements. Students who have completed 24 or more semester credits (or 30 quarter credits) of college credit mustÌýsubmit transcripts from all previously attended college(s).
In reviewing a transfer applicant’s file, the Office of Admission holistically examines the student’s academic performance in college-level coursework as an indicator of the student’s ability to meet the academic rigors of Â鶹´«Ã½. Where applicable, transfer students will be evaluated on any courses outlined in the continuation standards of their preferred major.
International Applicants
All admission policies and requirements for domestic students apply to international students along with the following:
- Demonstrate English Language Proficiency
- Proof of financial support must include:
- A letter of financial support from the person(s) or sponsoring agency funding the time at Â鶹´«Ã½
- A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of study at the University
- Academic records, in English translation, of students who have undertaken post-secondary studies outside the United States must include the 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, and any honors or degrees received. WES and ECE transcripts are accepted.
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Tuition | Cost Per Year |
---|---|
Undergraduate Tuition | $54,760 |
Additional charges may apply. Other resources are listed below:
Information on Tuition and Fees
Scholarships and Financial Aid
There are two principal ways to help finance a Â鶹´«Ã½ education:
- Scholarships: Scholarships are awarded based on academic achievement, service, leadership and financial need.
- Financial Aid: Financial aid is provided through grants and loans, some of which require repayment.
Â鶹´«Ã½ makes every effort to keep our education affordable. In fiscal year 2023, 99% of first-time freshmen and 92% of all students received financial aid and students received more than $459 million in aid University-wide.
For priority consideration for merit-based scholarships, apply for admission by December 1 and complete a Free Application for Federal Student Aid (FAFSA) by March 1.
For more information on scholarships and financial aid, visit the Office of Student Financial Services.
- Students will demonstrate the ability to use geographic information systemsÌýto analyze patterns in large, complex datasets.
- Students will develop skills in communicating information regarding data, analyses and graphics.
- Students will show proficiency in remote sensing, including the ability to acquire, process and analyze remotely sensed data.
- Students will become proficient in programming languages relevant to geographic information systems, remote sensing and computer science.
Code | Title | Credits |
---|---|---|
University Undergraduate Core | 32-35 | |
Major Requirements | ||
Required GIS Courses | ||
³Ò±õ³§Ìý2010 | Introduction to Location Science | 3 |
³Ò±õ³§Ìý2030 | Spatial Analysis | 3 |
³Ò±õ³§Ìý2050 | Introduction to Global Positioning Systems: Theory and Applications | 3 |
³Ò±õ³§Ìý4010 | Introduction to Geographic Information Systems | 3 |
³Ò±õ³§Ìý4030 | Geospatial Data Management | 3 |
³Ò±õ³§Ìý4040 | Introduction to Remote Sensing | 3 |
³Ò±õ³§Ìý4050 | Digital Image Processing | 3 |
Math and Statistics Courses | ||
²Ñ´¡°Õ±áÌý1510 | Calculus I | 4 |
²Ñ´¡°Õ±áÌý1520 | Calculus II | 4 |
²Ñ´¡°Õ±áÌý1660 | Discrete Mathematics | 3 |
³§°Õ´¡°ÕÌý3850 | Foundation of Statistics | 3 |
Computer Science Courses | ||
°ä³§°ä±õÌý1060 | Introduction to Computer Science: Scientific Programming | 3 |
´Ç°ùÌý°ä³§°ä±õÌý1070 | Introduction to Computer Science: Taming Big Data | |
°ä³§°ä±õÌý1300 | Introduction to Object-Oriented Programming | 4 |
°ä³§°ä±õÌý2100 | Data Structures | 4 |
Major Electives | 18 | |
Select 18 credits from courses with "Geospatial Electives" attribute | ||
General Electives | 21-24 | |
Total Credits | 120 |
Non-Course Requirements
All Science and Engineering B.A. and B.S. students must complete an exit interview/survey near the end of their bachelor's program.Ìý
Continuation Standards
Students must have a minimum of a 2.00 GPA in their geoinformatics and geospatial analytics major courses and required related credits (GIS, mathematics, statistics and computer sciences) by the conclusion of their freshman year. Students who fall below a 2.00 GPA after their freshman year will be placed on probation. Students placed on probation have a maximum of one year to raise their GPA to at least a 2.0. After their freshman year, students must maintain a GPA of 2.0 to remain in good standing in the program. Students may not graduate while they are on probation. Students who do not fulfill probationary requirements will be dropped from the program.
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.
Year One | ||
---|---|---|
Fall | Credits | |
³Ò±õ³§Ìý2010 | Introduction to Location Science | 3 |
²Ñ´¡°Õ±áÌý1510 | Calculus I | 4 |
University Core and/or General Electives | 9 | |
Ìý | Credits | 16 |
Spring | ||
³Ò±õ³§Ìý2030 | Spatial Analysis | 3 |
²Ñ´¡°Õ±áÌý1520 | Calculus II | 4 |
°ä³§°ä±õÌý1060 or °ä³§°ä±õÌý1070 |
Introduction to Computer Science: Scientific Programming or Introduction to Computer Science: Taming Big Data |
3 |
University Core and/or General Electives | 6 | |
Ìý | Credits | 16 |
Year Two | ||
Fall | ||
Science I (w/ Lab) | 4 | |
²Ñ´¡°Õ±áÌý1660 | Discrete Mathematics | 3 |
University Core and/or General Electives | 9 | |
Ìý | Credits | 16 |
Spring | ||
Science II (w/ Lab) - same discipline as Science I | 4 | |
University Core and/or General Electives | 3 | |
³§°Õ´¡°ÕÌý3850 | Foundation of Statistics | 3 |
³Ò±õ³§Ìý2050 | Introduction to Global Positioning Systems: Theory and Applications | 3 |
ARTÌý2150 | Color Theory | 3 |
Ìý | Credits | 16 |
Year Three | ||
Fall | ||
°ä³§°ä±õÌý1300 | Introduction to Object-Oriented Programming | 4 |
³Ò±õ³§Ìý4010 | Introduction to Geographic Information Systems | 3 |
Geospatial | Elective | 3 |
Geospatial | Elective | 3 |
University Core and/or General Electives | 3 | |
Ìý | Credits | 16 |
Spring | ||
°ä³§°ä±õÌý2100 | Data Structures | 4 |
³Ò±õ³§Ìý4030 | Geospatial Data Management | 3 |
Geospatial | Elective | 3 |
Geospatial | Elective | 3 |
University Core and/or General Electives | 3 | |
Ìý | Credits | 16 |
Year Four | ||
Fall | ||
³Ò±õ³§Ìý4040 | Introduction to Remote Sensing | 3 |
Geospatial | Elective | 3 |
Geospatial | Elective | 3 |
University Core and/or General Electives | 3 | |
Ìý | Credits | 12 |
Spring | ||
³Ò±õ³§Ìý4050 | Digital Image Processing | 3 |
GISÌý4960 | GIS Capstone | 3 |
University Core and/or General Electives | 6 | |
Ìý | Credits | 12 |
Ìý | Total Credits | 120 |
2+SLU programs provide a guided pathway for students transferring from a partner institution.Ìý