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.

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

FALL   SPRING
AIS 1203 or 1223 Academic Inquiry and Scholarship 3   CORE American History 3
CORE American History 3   CORE Life & Physical Sciences 3
CORE Mathematics 3   WRC 1023 Freshman Comp II (Q) 3
WRC 1013 Freshman Comp I (Q) 3   ELEC (LD) Focus Area I 3
MDS 2013 Intro to Multidisc Studies 3   Technology Requirement CS 1063, 1083, 1173, DS 4003, 4013, IS 1413, 1053 3
TOTAL   15   TOTAL   15
FALL   SPRING
POL 1013 Introduction to American Politics 3   POL 1133 or 1213 Texas Politics and Society 3
CORE Life & Physical Sciences 3   CORE Lang, Philosophy & Culture 3
ELEC (LD) Focus Area 2 3   CORE Creative Arts 3
ELEC (LD) Focus Area 3 3   ELEC (LD) Focus Area 1 3
COM Requirement COM 1043, 1053, 2113, 2343, 2733, ENG 2413 3   ELEC (LD) Focus Area 2 3
TOTAL   15   TOTAL   15
FALL   SPRING
CORE Social & Behavioral Sciences 3   ELEC (UD) Focus Area 1 3
CORE Component Area Option 3   ELEC (UD) Focus Area 2 3
ELEC (UD) Focus Area 1 3   ELEC (UD) Focus Area 3 3
ELEC (UD) Focus Area 2 3   ELEC Free Elective 3
ELEC (LD) Focus Area 3 3   ELEC Free Elective 3
TOTAL   15   TOTAL   15
FALL   SPRING
ELEC (UD) Focus Area 1 3   MDS 4983 Seminar for Multidisc Studies 3
ELEC (UD) Focus Area 3 3   ELEC (UD) Free Elective 3
ELEC (UD) Free Elective 3   ELEC (UD) Free Elective 3
ELEC (UD) Free Elective 3   ELEC Free Elective 3
ELEC Free Elective 3   ELEC Free Elective 3
TOTAL   15   TOTAL   15

Focus Areas

Focus Area 1 - 15 hours required

Course Number Title Prerequisite C- or better
DS 3023 Statistical Analysis for Data Science MAT 1073
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
DS 4033 Data Mining and Machine Learning DS 4023
*Certificate in Data Science

Focus Area 2 - 12 hours required from one mini-track

Course Number Title Prerequisite C- or better
Math Computing Track
CS 1714 Computer Programming II CS 1063 or CS 1083 or DS 4013
CS 2124 Data Structures CS 1714 and MAT 1214
MAT 1093 Pre-Calculus MAT 1073
MAT 1214 Calculus I MAT 1093
Business Analytics Track
MAT 1093 Pre-Calculus MAT 1073
MAT 1214 Calculus I MAT 1093
STA 3003 Applied Statistics MAT 1214
STA 4233* Intro to Prog & Data Manage R
STA 4133* Intro to Prog & Data Manage SAS
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 and MAT 1053
MS 3043 Business Statistics with Computer Applications II IS 1403 or IS 1413, MAT 1053, MS 1023
MS 3063* Decision Support System
MS 3073* Business Intelligence & Analytics MS 3043
MS 3083 Data Management for Business Analytics
MS 3313* Multivariate Statistics for Business Analytics MS 3073 or MS 3083
MS 4323* Simu with Business Applications
MS 4373 Data Mining for Business Analytics MS 3073 and MS 3083
MS 4383 Predictive Operational Analytics
*Certificate in Business Analytics
STA 4233, STA 4133, MS 3073, MS 3063, MS 3313, MS 4323

Focus Area 3 - 12 hours required from one mini-track

Course Number Title Prerequisite C- or better
Cyber Track
IS 3413 Intro to Telecom for Business
IS 3433 Intro to Digital Forensics
IS 3513 Infor Assurance and Security IS 3413
IS 3523 Intrusion Detection IS 3513
IS 3533 Cyber Law and Legal System
IS 3833 Cyber Operations IS 3523
IS 4473 Information Assurance Policy IS 3413
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 1014
GLA 3213 Theories of International Relations GLA 1013 or POL 1013
GLA 3343 National Security in the Global Context GLA 1013 or POL 1014
GLA 4213 The Intelligence Community in World Affairs POL 1013
GLA 4953 Special Studies in Political Science POL 1013
GLA 4973 Seminar in Political Science POL 1013, POL 2693, POL 2703, and 15 hrs in POL
POL 3593 Topics in Latin America 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 Force in International Politics POL 1013
Digital Humanities Track
IDS 2083 Learning with Technology
IDS 3003 STEM in Social Contexts
GES 3314 Introduction to Geographic Information Systems
GES 3323 Spatial Analysis
GES 3334 Advanced Geographic Information Systems GES 3314
HUM 3173 Digital Humanities
HUM 3153 Humanistic Approaches to STEM
ANT 3803 Media, Power and Public Culture
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 Analysis and Assessment for Public Administration Any 3-semester-credit-hour Mathematics core course
MES 3333 Digital Video Production WRC 1023
MS 3003 Visualization in Business Analytics
MKT 4253 Digital Marketing

Want to learn more about this program?

Contact the Multidisciplinary Studies Program

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Go to Interdisciplinary Education Advising