This degree program allows students to study multiple fields such as data science, math computing, and business analytics. In addition to the gaining the ability to blend data interference, algorithmic development, and technology to solve analytically complex problems you’ll train in one of three specialized application domains including cyber intelligence, digital humanities, or political science. Our multidisciplinary program design allows for customization to fit the student's interests and professional goals.

Debbi Furr- Assistant Professor of Instruction / Applied Data Science UGAR

Contact

Debbi Furr- Assistant Professor of Instruction / Applied Data Science UGAR

Assistant Professor of Instruction / Applied Data Science UGAR

Main Campus: GSR 2.104X

debbi.furr@utsa.edu

Curriculum

The minimum number of semester credit hours for this degree is 120, at least 39 of which must be at the upper-division level.

Students seeking a B.A. degree in the Applied Data Science path of Multidisciplinary Studies must fulfill the university core curriculum requirements.

Students seeking a B.A. degree in the Applied Data Science path of Multidisciplinary Studies must fulfill the following 78 semester credit hours.

  • Technology Requirement: CS 1063, CS 1083, CS 1173, DS 4003, DS 4013, IS 1413, IS 1053 (3 semester credit hours)
  • Communication Requirement: COM 1043, COM 1053, COM 2113, COM 2343, COM 2733 or ENG 2413 (3hrs)

All candidates for this degree must complete three areas of focus. Courses selected to satisfy each area must be approved by the Multidisciplinary Studies Program Coordinator and the Dean of Undergraduate Studies. Furthermore, the courses used to satisfy each focus area must be completed with at least a 2.0 grade point average.

All candidates for this degree must complete MDS 2013: Introduction to Multidisciplinary Studies.

All candidates for this degree must complete MDS 4983: Senior Seminar for Multidisciplinary Studies.

All candidates for this degree must complete 27 semester hours of free electives, at least 15 of which must be at the upper-division level.

BA-MDAD Applied Data Science 2024-26 Catalog

FIRST YEAR - FALL

The table shows courses available to take the fall semester of your first year.
Course Code Course Name Credit Hours
AIS 1203 or 1233 Academic Inquiry and Scholarship 3
WRC 1013 Freshman Comp I 3
CORE Mathematics Core (MAT 1073) 3
CORE American History Core 3
MDS 2013 Intro to Multidisc Studies 3
TOTAL  - 15

FIRST YEAR - SPRING

The table shows courses available to take the spring semester of your first year.
Course Code Course Name Credit Hours
CORE American History Core 3
CORE Life & Physical Sciences Core 3
WRC 1023 Freshman Comp II 3
ELEC (LD) Focus Area 2 3
Technology Requirement CS 1063, 1083, 1173, DS 4003, 4013, IS 1413, 1053 3
TOTAL  - 15

SECOND YEAR - FALL

The table shows courses available to take the fall semester of your second year.
Course Code Course Name Credit Hours
POL 1013 Introduction to American Politics 3
CORE Life & Physical Sciences Core 3
ELEC (LD) Focus Area 2 3
ELEC (LD) Focus Area 3 3
COM Requirement COM 1043,1053,2113, 2343,2733, ENG 2413 3
TOTAL  - 15

SECOND YEAR - SPRING

The table shows courses available to take the fall semester of your second year.
Course Code Course Name Credit Hours
POL 1133 or 1213 Texas Politics and Society 3
CORE Lang, Philosophy & Culture 3
CORE Creative Arts 3
ELEC (LD) Focus Area 1 3
ELEC (LD) Focus Area 2 3
TOTAL  - 15

THIRD YEAR - FALL

The table shows courses available to take the fall semester of your third year.
Course Code Course Name Credit Hours
CORE Social & Behavioral Sciences 3
CORE Component Area Option 3
DS 4003 Focus Area 1 3
ELEC (UD) Focus Area 2 3
ELEC (LD) Focus Area 3 3
TOTAL  - 15

THIRD YEAR - SPRING

The table shows courses available to take the spring semester of your third year.
Course Code Course Name Credit Hours
DS 4013 Focus Area 1 3
ELEC (UD) Focus Area 2 3
Free Elective Free Elective Selection 3
Free Elective Free Elective Selection 3
Free Elective Free Elective Selection 3
TOTAL  - 15

FOURTH YEAR - FALL

The table shows courses available to take the fall semester of your fourth year.
Course Code Course Name Credit Hours
DS 4023 Focus Area 1 3
ELEC (UD) Focus Area 3 3
Free Elective Upper Division Course 3
Free Elective Upper Division Course 3
Free Elective Upper Division Course 3
TOTAL  - 15

FOURTH YEAR - SPRING

The table shows courses available to take the spring semester of your fourth year.
Course Code Course Name Credit Hours
DS 4033 Focus Area 1 3
Free Elective Upper Division Course 3
Free Elective Upper Division Course 3
Free Elective Upper Division Course 3
MDS 4983 Seminar for Multidisc Studies 3
TOTAL  - 15

Focus Area 1: Data Science - 15 hours prescribed (9hrs UD)

*Certificate in Data Science
Course Number Title Prerequisite C- or better
DS 3023/DDTI 4023 Statistical Analysis for Data Science MAT 1073 or the equivalent
DS 4003/DDTI 4003 Introduction to Data Science MAT 1073 or the equivalent; students may not enroll without 30 credit hours completed.
DS 4013/DDTI 4013 Programming for Data Science MAT 1073 or the equivalent
DS 4023/DDTI 4023 Data Organization and Visualization DS 3023, DS 4003, and DS 4013 or the equivalents.
DS 4033/DDTI 4033 Data Mining and Machine Learning Completion of or concurrent enrollment in DS 4023.
*Certificate in Data Science

Focus Area 2: Math Computing and Business Analytics - 12 hours (6hrs UD)

Table shows some of the courses you can take in the focus area for Math Computing and Business Analytics.
Course Number Title Prerequisite
MAT 1073* Algebra for Scientists and Engineers Satisfactory performance on a placement examination
DDTI 1423 Data Driven Thinking in the Age of AI
DDTI 4043 Generative Artificial Intelligence DS 4033 or DDTI 4033
CS 2113 Fundamentals for Object-Oriented Programming CS 1083
CS 2123 Data Structures CS 2113
MAT 1093 Pre-Calculus MAT 1023, MAT 1053, or MAT 1073, or satisfactory performance on a placement examination
MAT 1213 Calculus I MAT 1093 or equivalent or satisfactory performance on a placement examination
STA 3003 Statistical Methods and Applications MAT 1093 or the equivalent
STA 4233 Intro to Prog & Data Manage R
STA 4133 Intro to Prog & Data Manage SAS
STA 4143^ Data Mining and Predictive Modeling STA 4133 or the equivalent
STA 3333 Introduction to Data Science and Analytics MS 1023 or STA 1053 or STA 1403 or STA 2303 equivalent
BAN 1023 Introduction to Business Statistics A grade of "C-" or better in MAT 1053, or equivalents
BAN 3043^ Statistical Methods for Business A grade of "C-" or better in MAT 1053 and BAN 1023, or equivalents
BAN 3073^ Regression Models for Business Analytics A grade of "C-" or better in BAN 1023 or equivalent
BAN 3083^ Predictive Operational Analytics
BAN 3313^ Statistical Modeling for Business Analytics A grade of C- or better in BAN 3083, or approval of the instructor
BAN 4373^ Data Mining for Business Analytics A grade of "C-" or better in BAN 3073 and BAN 3083, or their equivalents, or approval of the instructor
BAN 4383 Predictive Operational Analytics
BAN 3003^ Visualization in Business Analytics
BAN 4203^ Business Analytics Applications A grade of "C-" or better in BAN 4373 or the equivalent, or approval of the instructor

^Certificate in Business Analytics
BAN 3003, BAN 3043, BAN 3083, BAN 3073, BAN 3313, BAN 4373 or STA 4143
*MAT 1073 is a core requirement and is a prerequisite for DS and DDTI courses

Focus Area 3 - 12 hours selected from one mini track (6hrs UD)

Table shows some of the courses you can take in the focus area for Application Domain.
Course Number Title Prerequisite
Cyber Track
ISC 1003* Unlocking Cyber
ISC 3413 Telecommunications & Networking ISC 1003, or equivalent, with a grade of "C-" or better
ISC 3433 Cyber Crime Investigation Principles
ISC 3513 Infor Assurance and Security ISC 3413, or equivalent, with a grade of "C-" or better
ISC 3523 Intrusion Detection & Incident Response ISC 3033 and ISC 3513, or equivalents, with a grade of "C-" or better
ISC 3533 Cyber Law and Legal System
ISC 3833 Cyber Operations ISC 3523, or equivalent, with a grade of "C-" or better
ISC 4473 Cyber Security Policy, Compliance, and Risk Assessment
Political Science Track
GLA 1013 U.S. in Global Context
GLA 2103 Introduction to Intelligence Studies GLA 1013 or POL 1013
GLA 2203 Introduction to Security Studies GLA 1013 or POL 1013
GLA 2603 Introduction to Global Politics GLA 1013 or POL 1013
GLA 3213 Theories of International Relations GLA 1013 or POL 1013
GLA 3343 National Security in the Global Context GLA 1013 or POL 1013
GLA 4213 The Intelligence Community in World Affairs GLA 1013 or POL 1013
GLA 4953 Special Studies in Global Affairs GLA 1013
GLA 4973 Senior Seminar GLA 1013 and POL 2693
POL 3593 Topics in Latin American Security POL 1013 or GLA 1013
POL 3763 Globalization POL 1013 or GLA 1013
POL 3633 Political Economy POL 1013
POL 3483 International Political Economy POL 1013
POL 3513 International Organizations in World Politics POL 1013 or GLA 1013
POL 3523 Violence in International Politics POL 1013
Digital Humanities Track
IDS 2083 Learning with Technology
IDS 3003 STEM in Social Contexts IDS 2113, WRC 1013, WRC 1023
GES 3314 Introduction to Geographic Information Systems
GES 3323 Spatial Analysis
GES 3334 Advanced Geographic Information Systems GES 3314
HUM 3173 Topics in Digital Humanities
HUM 3153 Humanistic Approaches to STEM
ANT 3803 Media, Power and Public Culture ANT 1013 or ANT 2053 recommended
COM 3073 Conduct of Communication Inquiry COM 3023
COM 2733 Introduction to Digital Communication WRC 1013 and WRC 1023
DEM 4013 Geographic Information Systems for Population Analysis and Policy
PAD 3163 Quantitative Analysis for Public Administration and Policy Any 3-semester-credit-hour Mathematics core course
MES 3333 Digital Video Production WRC 1023 or the equivalent
MKT 4253 Digital Marketing MKT 3013

Archived Focus Areas by Year

Want to learn more about this program?

Contact the Multidisciplinary Studies Department

Want to talk to an advisor?

Go to Interdisciplinary Education Advising