Statistics And Data SciencesSDS / UT Austin
Compare 33 SDS courses by average GPA, A share and recent reported semester.
- Average GPA / 4.00
- 3.46
- A grades · excludes A−
- 51.0%
- Letter grades reported
- 57,795
Source: UT Austin Office of Institutional Reporting; updated .
SDS courses
| Course | Average GPA | % A | Letter grades | Latest term |
|---|---|---|---|---|
| SDS 301Elementary Statistical Methods | 3.34 | 44.5% | 2,230 | Summer 2026 |
| SDS 302DATA ANLY FOR HLTH SCIENCES-WB | 3.41 | 43.6% | 7,328 | Summer 2021 |
| SDS 302FFoundations of Data Analysis | 3.64 | 67.4% | 3,932 | Spring 2026 |
| SDS 304STATISTICS IN HEALTH CARE | 3.23 | 39.8% | 796 | Fall 2016 |
| SDS 306STATS IN MARKET ANALYSIS-WB | 3.15 | 33.8% | 4,391 | Spring 2021 |
| SDS 310TNUMBERING RACE | 3.26 | 22.2% | 9 | Fall 2016 |
| SDS 313Introduction to Data Science | 3.87 | 85.3% | 468 | Fall 2025 |
| SDS 315Statistical Thinking | 3.62 | 51.2% | 459 | Spring 2026 |
| SDS 320EElements of Statistics | 3.47 | 49.5% | 10,357 | Summer 2026 |
| SDS 320HElements of Statistics: Honors | 3.99 | 96.2% | 52 | Fall 2023 |
| SDS 321Introduction to Probability and Statistics | 3.37 | 51.2% | 6,446 | Spring 2026 |
| SDS 322INTRO SCIENTIFIC PROGRAMMING | 3.68 | 69.4% | 490 | Spring 2024 |
| SDS 322EElements of Data Science | 3.79 | 78.8% | 3,192 | Spring 2026 |
| SDS 323STATISTICAL LEARNING/INFERENCE | 3.68 | 63.1% | 339 | Spring 2024 |
| SDS 324EElements of Regression Analysis | 3.55 | 56.0% | 788 | Spring 2026 |
| SDS 325HHonors Statistics | 3.64 | 58.4% | 137 | Fall 2021 |
| SDS 326EElements of Statistical Machine Learning | 4.00 | 98.9% | 271 | Spring 2026 |
| SDS 328MBIOSTATISTICS-WB | 3.43 | 43.3% | 11,383 | Summer 2021 |
| SDS 329CPRACTICAL LINEAR ALGEBRA I-WB | 3.50 | 57.3% | 478 | Fall 2020 |
| SDS 332STAT MOD FOR HLTH/BEHVR SCI-WB | 3.50 | 59.3% | 1,449 | Spring 2021 |
| SDS 334Intermediate Statistical Methods | 3.87 | 83.1% | 148 | Spring 2026 |
| SDS 335SCIENTIF & TECHNICAL COMPUTING | 3.46 | 52.7% | 203 | Fall 2022 |
| SDS 336Practical Machine Learning | 3.77 | 77.9% | 149 | Fall 2025 |
| SDS 348COMPUTATNL BIO & INFRMTCS-WB | 3.74 | 69.2% | 919 | Spring 2021 |
| SDS 354Advanced Statistical Methods | 3.69 | 68.9% | 45 | Fall 2025 |
| SDS 357Case Studies in Data Science | 3.93 | 82.6% | 46 | Spring 2026 |
| SDS 3581-APPLIED REGRESSN ANALYSIS-WB | 3.55 | 48.2% | 168 | Fall 2020 |
| SDS 366Data Visualization | 3.91 | 83.1% | 195 | Spring 2026 |
| SDS 374CParallel Computing for Science and Engineering | 3.42 | 48.5% | 132 | Spring 2023 |
| SDS 374EVisualization and Data Analysis for Science and Engineering | 3.50 | 7.4% | 27 | Fall 2019 |
| SDS 375Special Topics in Scientific Computation | 3.81 | 79.4% | 465 | Fall 2025 |
| SDS 378Introduction to Mathematical Statistics | 3.72 | 57.1% | 7 | Spring 2021 |
| SDS 431Probability and Statistical Inference | 3.25 | 32.1% | 296 | Fall 2025 |
How this department is summarized
The Statistics And Data Sciences hub includes 33 undergraduate courses with reported letter-grade data. Its 3.46 average combines 57,795 letter grades, weighting each grade equally. A large course therefore contributes more than a small seminar.
The A share is 51.0%, counting A separately from A−. Course-level pages show the available semesters and syllabus sources. Historical grades do not establish workload or teaching quality.