The University of Texas at Austin Red McCombs School of Business 35 courses 120 total credits
The BBA business analytics curriculum equips students to define business problems clearly and solve them using data‑driven methods. It develops leaders who can interpret evidence, collaborate effectively, and guide decision‑making across organizations. Students gain experience with statistical analysis, data mining, natural language processing, optimization, and machine learning, applying these tools to real challenges in finance, marketing, supply chain management, and other fields. The program also emphasizes the ethical considerations involved in designing, developing, and using analytical technologies. The Plan of Study is a suggested four-year course sequence to support academic planning and serves as a helpful guide. Currently enrolled students should meet with their academic advisor to tailor their course selections and timelines to their individual goals and circumstances.
| Hours chosen from: | 6 credits |
| Upper-division BAX Elective | credits |
| Foreign Language other than English, Beginning Proficiency | credits |
| College Requirements - Business | credits |
| General University Requirements | credits |
Major
Required hours that may also count towards this BBA major's in residence requirement:
| Code | Course Title | Credits |
|---|---|---|
| BAX 304 | Introduction to Problem Solving and Programming | 3 |
| BAX 325 | Database Management | 3 |
| BAX 357 | Predictive Analytics | 3 |
| BAX 358 | Optimization Methods and Decision Making | 3 |
| BAX 375 | Business Analytics in Practice | 3 |
| Total Major | 120 credits | |
Degree
Sequence 1:
| Code | Course Title | Credits |
|---|---|---|
| M 408R or M 408Q | Differential and Integral Calculus for the Sciences or Differential and Integral Calculus for Business | 4 |
Degree
Sequence 2: (required for Computer Science and Business (CSB) dual degree and Science and Technology Management majors)
| Code | Course Title | Credits |
|---|---|---|
| M 408C or M 408D | Differential and Integral Calculus or Sequences, Series, and Multivariable Calculus | 4 |
Degree
Economics (may also count towards Social and Behavioral Sciences (080) )
| Code | Course Title | Credits |
|---|---|---|
| ECO 304K | Introduction to Microeconomics | 3 |
| ECO 304L | Introduction to Macroeconomics | 3 |
Social Science
Sequence 1: Plan II Honors dual majors only S S 302C may also be replaced by S S 302E, S S 302F.
| Code | Course Title | Credits |
|---|---|---|
| S S 302C or S S 302D | Honors Social Science: Methods and Theory or Honors Social Science: Psychology | 3 |
Social Science
Professional Growth
Social Science
Analytics
| Code | Course Title | Credits |
|---|---|---|
| STA 301 | Introduction to Data Science | 3 |
| STA 235 | Data Science for Business Applications | 2 |
| D S 235 | Introduction to Decision Science | 2 |
| O M 235 | Operations Management | 2 |
Social Science
Business
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