UTSA's multidisciplinary studies degree in Data Science allows students to study multiple fields such as computer science, statistics, electrical engineering, information systems, and management science. Data science is a blend of data interference, algorithmic development, and technology to solve analytically complex problems. Companies like Netflix, Google, Amazon, and others use data science to make decisions and determine what drives consumer interest.
BS MDST - Data Science 2024-26 Catalog (BS-MDDS-UC)
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| AIS 1203 or 1233 | Academic Introduction & Strategies | 3 | CS 1714 | Intro to Prog II/Rec. (FA 2) | 4 | |
| CS 1063 | Intro to Computer Programming I | 3 | MAT 1224 | Calculus II (FA 1) | 4 | |
| MAT 1214 | Calculus I (FA 1) | 4 | STA 1053 | Basic Statistics (CORE) | 3 | |
| CORE | Creative Arts | 3 | WRC 1023 | Freshman Comp II (Q) | 3 | |
| WRC 1013 | Freshman Comp I (Q) | 3 | ||||
| TOTAL | 16 | TOTAL | 14 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| CS 2124 | Data Structures/Rec. (FA 2) | 4 | CS 2233 | Discrete Math (FA 2) | 3 | |
| MAT 2233 | Linear Algebra (FA 1) | 3 | CS 3424 | Systems Prog/Rec (FA 2) | 4 | |
| STA 3003 | Applied Statistics (FA 1) | 3 | STA 4133 or 4233 | Intro to Prog & Data Manage (FA 1) | 3 | |
| MDS 2023 | Intro to Multidisc Studies | 3 | POL 1013 | Introduction to American Politics | 3 | |
| POL 1133 or 1213 | Texas Politics and Society | 3 | ||||
| TOTAL | 16 | TOTAL | 13 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| CS 3343 | Analysis of Algorithm (FA 2) | 3 | STA 4143 | Data Mining (FA 1) | 3 | |
| ELEC | Programming & Algorithms (FA 2) | 3 | ELEC | Data Science Elective (FA 3) | 3 | |
| ELEC | Data Science Elective (FA 3) | 3 | ELEC | Data Science Elective (FA 3) | 3 | |
| COM Requirement | COM 1043, 1053, 2113 or ENG 2413 | 3 | CORE | American History | 3 | |
| CORE | Life & Physical Sciences | 3 | CORE | Life & Physical Sciences | 3 | |
| TOTAL | 15 | TOTAL | 15 | |||
| FALL | SPRING | |||||
|---|---|---|---|---|---|---|
| ELEC | Programming & Algorithms (FA 2) | 3/1 | ELEC | Data Science Elective (FA 3) | 3 | |
| ELEC | Data Science Elective (FA 3) | 3 | ELEC | Data Science Elective (FA 3) | 3 | |
| ELEC | Data Science Elective (FA 3) | 3 | MDS 4983 | Seminar for Multidisc Studies | 3 | |
| CORE | Social & Behavioral Sciences | 3 | CORE | Component Area Option | 3 | |
| CORE | American History | 3 | CORE | Lang, Philosophy, & Cult. | 3 | |
| TOTAL | 16 | TOTAL | 15 | |||
2023 Focus Areas
2023 Focus Area 1 - 20 hours (14 prescribed)
| Course Number | Title | Prerequisite |
|---|---|---|
| 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 1093 and corequisite MAT 1214 |
| STA 4133 or | Intro to Prog & Data Manage SAS | |
| STA 4233 | Intro to Prog & Data Manage R | |
| STA 4143 | Data Mining | STA 4133 |
2023 Focus Area 2 - 18 hours (11 prescribed)
| Course Number | Title | Prerequisite |
|---|---|---|
| CS 1714 | Computer Programming II (required) | CS 1063 or CS 1083 |
| CS 2124 | Data Structures (required) | CS 1714 and MAT 1214 |
| CS 2233 | Discrete Mathematical Structures (required) | CS 1714 and MAT 1214 |
| CS 3424 | Systems Programming (required) | CS 2124 |
| CS 3343 | Analysis of Algorithm (required) | CS 2124 and CS 2233 and CS 3333 (or equivalent) |
| CS 3443 | Application Programming | CS 2124 |
| CS 3743 | Database Systems | CS 2233 and CS 3424 |
| CS 3844 | Computer Organization | CS 2124 |
| EE 3563 | Digital Systems Design | EE 2511 and EE 2513 |
| EE 4243 | Computer Organization and Architecture | EE 3463 |
2023 Focus Area 3 - 18 hours (9 required)
| Course Number | Title | Prerequisite |
|---|---|---|
| Data Science | ||
| DS 4003 | Introduction to Data Science (required) | MAT 1073 |
| DS 4013 | Programming for Data Science (required) | MAT 1073 |
| DS 4023 | Data Organization and Visualization (required) | DS 4013 and DS 3023(or STA 3003) |
| DS 4033 | Data Mining and Machine Learning | DS 4023 |
| STA 3513 | Probability and Statistics | STA 3003 and MAT 1224 |
| STA 3523 | Mathematical Statistics | STA 3513 |
| Business Intelligence | ||
| STA 4233* | Intro to Prog & Data Manage R (required) | |
| STA 4133* | Intro to Prog & Data Manage SAS (required) | |
| STA 4143* | Data Mining | STA 4133 |
| STA 3333 | Introduction to Data Science and Analytics | STA 1053 or equivalent |
| MS 1023 | Business Statistics with Computer Applications I | IS 1403 or IS 1413, MAT 1053 |
| MS 3043 | Business Statistics with Computer Applications II | IS 1403 ir IS 1413, MAT 1053, MS 1023 |
| MS 3063* | Decison Support System | |
| MS 3073* | Business Intelligence & Analytics (required) | MS 3043 |
| MS 3083 | Data Management for Business Analytics | |
| MS 3313* | Multivariate Statistics for Business Analytics | MS 3073 and MS 3083 |
| MS 4323* | Simu with Business Applications | |
| MS 4373 | Data Mining for Business Analytics | MS 3073 and MS 3083 |
| MS 4383 | Predictive Operational Analysis | |
|
* Certificate in Business Analytics (5 courses) STA 4233, STA 4133, MS 3073, MS 3063, MS 3313, MS 4323 |
||
| Computer Science | ||
| CS 3443 | Application Programming | CS 2124 |
| CS 3743 | Database Systems | CS 2124 and CS 3424 |
| CS 3753 | Data Science | CS 2124, CS 2233 and CS 3333 (need instructor consent) |
| CS 3793 | Artificial Intelligence | CS 3343 and CS 3424 |
| CS 4223 | Bioinformatics and Big Data | CS 3343 or consent of instructor |
| CS 4233 | Computational Biology and Bioinformatics | CS 3343 |
| CS 4243 | Large Scale Data Management | CS 3423 and CS 3443 |
| CS 4373 | Data Mining | CS 3343 |
| CS 4413 | Web Technologies | CS 3424 |
| CS 4593 | Topics in Computer Science | Consent of Instructor |
| CS 4843 | Cloud Computing | CS 3424 |
| CS 4973 | Advanced Topics in Systems and Clouds | Consent of Instructor |
| Cyber Analytics | ||
| IS 2053 | Programming Languages I with Scripting | IS 1003 |
| IS 3063 | Database Management for Information Systems | IS 2053 |
| IS 3523 | Intrusion Detection and Incident Response | IS 3513 with a grade of C- |
| IS 4463 | Web Application Security | IS 3513 with a grade of C- |
| IS 4483 | Digital Forensic Analysis I | |
| IS 4523 | Digital Forensic Analysis II | IS 4483 |
| IS 4023 | Applied Big Data with Machine Learning | IS 3073 |
| IS 4183 | Advanced Database Concepts and Applications | IS 3063 with a grade of C- |
| Data Engineering | ||
| EE 3113 | Electrical and Computer Engineering Laboratory I | EE 2423, EE 2513 and EE 3313 |
| EE 3223 | C++ and Data Structures | EE 3463 |
| EE 4243 | Computer Organization and Architecture | EE 3463 |
| EE 4443 | Discrete-Time and Computer Controlled Systems | EE 3413 |
| EE 4673 | Data Communication and Networks | EE 3223 and EE 4613 |
Want to learn more about this program?
Contact the Multidisciplinary Studies Program
