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Geographic Information Systems

Students in the Geographic Information Systems (GIS) minor learn to store, analyze and display spatially oriented data to improve decision-making. Environmental scientists use GIS for applications such as environmental impact analysis, hydrological modeling and biodiversity studies.

Required Common Core Courses (38-39 credits)

Level L1 Data Science Foundation

  • MAT 243 Calculus I with Technology
    or MAT 195 Calculus for Business/BIS/Economics
  • MAT 216 Statistical Data Analysis
    or ECO 215 Statistics for Business/Economics
    or MAT 315 Applied Probability and Statistics
    (or an approved statistics course)
  • MAT 342 Explorations in Data Science
  • CSC 202 Introduction to Programming and Machine Intelligence
  • CSC 203 Advanced Programming for Data Science
  • BUS 205 Information Management
  • BUS/BIS 305 Business Analytics
  • EES 300 Introduction to GIS
  • EES 301 Introduction to GIS Laboratory

Level L2 Database Course

  • CSC 341 Database and Information Management
    or BIS 373 Business Database Management

Level L3 Data Mining/Analytics

  • MAT 343 Explorations in Data Analytics
    or CSC 305 Data Mining and Applications
    or BIS 447 Business Intelligence

Level L4 Stage 2 Writing

  • BIS 449 Data Visualization

Level L5 Capstone, Stage 3 Writing, Tier III

  • BIS 377 Organizational Website & Database Management
    or CSC 450 Senior Research
    or LAP 430 Liberal Arts Capstone Colloquium
    or other “approved TIII & W3” courses

B.S. Degree with Concentration in Geographic Information Systems (Total: 53–54 credits)

Core plus Required Courses (9 credits)

  • EES 342 Advanced Geographic Information Systems with Laboratory
  • EES 444 Geospatial Applications Using Remote Sensing       
  • EES 480/EES 491 Independent Study/Internship in EES with GIS Applications

Electives (6–7 credits)

Select two (unique from core):

  • CSC 210/CSC 231 Computer Science and Programming I and II
  • CSC 212 Computer Game Design And Visualization
  • CSC 305 Data Mining and Applications
  • CSC 314 Introduction to Bioinformatics
  • MAT 315 Applied Probability and Statistics
  • Other approved courses


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