UTSA's multidisciplinary studies degree in Geoinformatics allows students to study multiple fields such as computer science, statistics, data science, cloud computing, earth science, geographic information systems, remote sensing, and spatial analysis. Geoinformatics is a blend of data interference, algorithmic development, and geospatial technology to solve spatial-related earth science, climate science, and environmental science problems. Companies like Google, Amazon, and many business and governmental agencies use geoinformatics to make decisions for societal benefits and for scientific research and exploration.
BS MDST - Geoinformatics 22-24 catalog (BS-MDGI-UC)
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| AIS 1203 or 1243 | Academic Introduction & Strategies | 3 | CS 1714 | Computer Programming II/Rec. (FA 2) | 3/1 | |
| CS 1063 | Intro to Computer Programming I | 3 | MAT 1224 | Calculus II (FA 1) | 4 | |
| MAT 1214 | Calculus I (FA 1 & Core) | 4 | MDS 2023 | Intro to Multidisc Studies | 3 | |
| CORE | American History | 3 | WRC 1023 | Freshman Comp II (Q) | 3 | |
| WRC 1013 | Freshman Comp I (Q) | 3 | ||||
| TOTAL | 14 | TOTAL | 16 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| CS 2124 | Data Structures/Rec. (FA 2) | 4 | CS 3343 | Analysis of Algorithms (FA 2) | 3 | |
| MAT 2233 | Linear Algebra (FA 1) | 3 | GEO 1103 | Physical Geology ( FA 3) (prereq. CHE 1103) | 3 | |
| STA 3003 | Applied Statistics (FA 1) | 3 | STA 3513 | Probability and Statistics (FA 1) | 3 | |
| COM Requirement | COM 1043,1053,2113 or ENG 2413 | 3 | POL 1013 | Introduction to American Politics | 3 | |
| CS 2233 | Discrete Mathematical Structures (FA 1) | 3 | ELEC | Focus Area 2 | 3 | |
| TOTAL | 16 | TOTAL | 15 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| GEO 3163 | Oceanography | 3 | STA 4233 | Intro to Prog & Data Management (FA 1) | 3 | |
| ELEC | Focus Area 2 | 3 | ELEC | GI-A (FA 3) | 3 | |
| GES 3713 | Weather and Climate (FA 3) | 3 | ELEC | Focus Area 2 | 3 | |
| POL 1133 or 1213 | Texas Politics and Society | 3 | CORE | American History | 3 | |
| CORE | Life & Physical Sciences PHY 1943 recommended | 3 | CORE | Life & Physical Sciences | 3 | |
| TOTAL | 15 | TOTAL | 15 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| ELEC | Focus Area 2 | 3 | GEO 4073 | Web GIS (FA 3) | 3 | |
| ELEC | GI-B (FA 3) | 3 | ELEC | GI-D (FA 3) | 3 | |
| ELEC | GI-C (FA 3) | 3 | MDS 4983 | Seminar for Multidisc Studies | 3 | |
| CORE | Social & Behavioral Sciences | 3 | CORE | Component Area Option | 3 | |
| CORE | Creative Arts | 3 | CORE | Lang, Philosophy, & Cult. | 3 | |
| TOTAL | 15 | TOTAL | 15 | |||
2023 Focus Areas
2023 Focus Area 1 - 21 hours (9 hours UD)
| Course Number | Title | Prerequisite C- or better |
|---|---|---|
| MAT 1214 | Calculus I | MAT 1093 |
| MAT 1224 | Calculus II | MAT 1214 |
| MAT 2233 | Linear Algebra | MAT 1224 or EGR 2323 |
| STA 3003 | Applied Statistics | MAT 1214 |
| STA 3513 | Probability and Statistics | STA 3003 & MAT 1224 |
| STA 4233 | Introduction to Programming and Data Management in R | |
| CS 2233 | Discrete Mathematical Structures | CS 1714 & MAT 1214 |
2023 Focus Area 2 - 18 hours (9 hours UD)
| Course Number | Title | Prerequisite C- or better |
|---|---|---|
| CS 1714 | Computer Programming II (required) | CS 1063 |
| CS 2124 | Data Structures (required) | CS 1714 and MAT 1214 |
| CS 3343 | Analysis of Algorithm (required) | CS 2124 and CS 2233 and CS 3333 (or equivalent) |
| CS 3753 | Data Science | CS 2124 and CS 2233 and CS 3333 (or equivalent) |
| CS 3793 | Artificial Intelligence | CS 3343 and CS 3424 |
| CS 4373 | Data Mining | CS 3343 |
| CS 4953 | Advanced Topics in Cyber Security | Consent of Instructor |
| CS 4973 | Advanced Topics in Data Science | Consent of Instructor |
| CS 4843 | Cloud Computing | CS 3424 |
| DS 4003 | Introduction to Data Science | MAT 1073 |
| DS 4013 | Programming for Data Science | MAT 1073 |
| DS 4023 | Data Organization and Visualization | DS 4013 and DS 3023 os STA(3003) |
| DS 4033 | Data Mining and Machine Learning | DS 4023 |
| IS 4023 | Applied Big Data with Machine Learning | IS 3073 |
| IS 4233 | Introduction to Cloud Computing | Course does not exist in 20-22 catalog anymore |
| STA 4143 | Data Mining | STA 4133 or equivalent |
2023 Focus Area 3 - 18 hours (12 hours prescribed, 9 hours UD)
| Course Number | Title | Prerequisite C- or better |
|---|---|---|
| GEO 1103 | Physical Geology (required) | CHE 1103, CHE 1121 & MAT 1093 |
| GEO 3163 | Oceanography (required) | |
| GEO 4073 | Web GIS (required) | ES 2113 or GEO 2113 or GEO 3343 or consent of instructor |
| GES 3713 | Weather and Climate (required) | |
| One course from below GI - A | ||
| CE 4293 | Geographic Information Systems | CE 2103 or GEO 4023 |
| ES 2113 | Fundamentals of Geographic Information Systems | |
| GEO 2113 | Fundamentals of Geographic Information Systems | CS 1173 |
| GES 3314 | Introduction to Geographic Information Systems | |
| One course from below GI - B | ||
| GEO 3343 | Introduction to Geospatial Technologies | |
| GES 3323 | Spatial Analysis | |
| One course from below GI - C | ||
| GEO 4093 | Principles of Remote Sensing | MAT 1214 and PHY 1943 |
| GES 3363 | GIS Cartography | |
| One course from below GI - D | ||
| ES 4103 | Global Change | |
| GEO 3173 | Polar Regions and Climate Change | CHE 1083, CHE 1093, ES 2013, and ES 2023 or equivalent |
| GEO 4063 | Advanced Environmental Geology | GEO 1103 and GEO 1111 |
| GEO 4053 | Climate Change: Past, Present, Future | GEO 3003 |
Want to learn more about this program?
Contact the Multidisciplinary Studies Program
