The University of Texas at Austin College of Natural Sciences 23 courses 120 total credits
The Bachelor of Science in Statistics and Data Science (SDS) provides students with foundational training and marketable skills in statistics and data science. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and exploration to application of statistics and machine learning methods to the creation of data products (e.g, reports, apps, dashboards). Throughout the program, students are exposed to the principles of and tools for conducting reproducible data science and are taught to think critically about relevant ethical and legal issues (e.g., data privacy, algorithmic bias, misrepresentation of findings). The program prepares students to enter the workforce directly, or after pursuing specialized graduate training, as statisticians and data scientists or in other roles where training in these fields is excellent preparation. 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. All requirements are listed below, starting with the most specialized moving to the most general. Additional requirements may follow the table, so be sure to read the entire page. Some required courses listed below may also satisfy General Education requirements, including Core Curriculum.
| Foreign Language other than English, Beginning Proficiency | credits |
| College Requirements - Natural Sciences | credits |
| General University Requirements | credits |
| Please see department website for a full list. https://stat.utexas.edu/academics/undergraduate-major | credits |
Major
Hours chosen from:
| Code | Course Title | Credits |
|---|---|---|
| M 340L or M 341 | Matrices and Matrix Calculations or Linear Algebra and Matrix Theory | 3 |
| C S 303E or C S 312 | Elements of Computers and Programming or Introduction to Programming | 3 |
| C S 327E | Elements of Databases | 3 |
Major
Sequence 1:
| Code | Course Title | Credits |
|---|---|---|
| M 408C | Differential and Integral Calculus | 4 |
| M 408D | Sequences, Series, and Multivariable Calculus | 4 |
Major
Sequence 2:
| Code | Course Title | Credits |
|---|---|---|
| M 408K | Differential Calculus | 4 |
| M 408L | Integral Calculus | |
| M 408M | Multivariable Calculus |
Major
Sequence 3:
| Code | Course Title | Credits |
|---|---|---|
| M 408N | Differential Calculus for Science | 4 |
| M 408S | Integral Calculus for Science | 4 |
| M 408M | Multivariable Calculus |
Degree
Statistics and Data Sciences
Degree
Hours chosen from:
| Code | Course Title | Credits |
|---|---|---|
| SDS 364 | Bayesian Statistics | 3 |
| SDS 366 | Data Visualization | 3 |
| SDS 368 | Statistical Theory | 3 |
| STA 372T.21 | Time Series Forecasting | 3 |
| Total Degree | 6 credits | |
Click a course code or title to read the full course description.
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