The University of Texas at Austin College of Natural Sciences 39 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. Students who plan to follow the Statistics & Data Science Honors concentration, must be admitted to the Deanβs Scholars, Health Science, Scholars, or Polymathic Scholars Honors Program. 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.
| 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 |
Honors Breadth Requirement
Sequence 1:
| Code | Course Title | Credits |
|---|---|---|
| BIO 315H | Advanced Introduction to Genetics: Honors | 3 |
| BIO 325H | Genetics: Honors | 3 |
Honors Breadth Requirement
Sequence 2:
| Code | Course Title | Credits |
|---|---|---|
| CH 301C | Foundations of Chemistry I | 3-4 |
| CH 302C | Foundations of Chemistry II | 3-4 |
Honors Breadth Requirement
Sequence 3:
| Code | Course Title | Credits |
|---|---|---|
| PHY 301 | Mechanics | 3 |
| PHY 101L | Laboratory for Physics 301 | 1 |
| PHY 316 | Electricity and Magnetism | 3 |
| PHY 116L | Laboratory for Physics 316 | 1 |
Honors Breadth Requirement
Additional hours chosen from:
| Code | Course Title | Credits |
|---|---|---|
| BIO 315H | Advanced Introduction to Genetics: Honors | 3 |
| BIO 325H | Genetics: Honors | 3 |
| CH 301C | Foundations of Chemistry I | 3-4 |
| CH 302C | Foundations of Chemistry II | 3-4 |
| PHY 301 | Mechanics | 3 |
| PHY 101L | Laboratory for Physics 301 | 1 |
| PHY 315 | Wave Motion and Optics | 3 |
| PHY 115L | Laboratory for Physics 315 | 1 |
| PHY 316 | Electricity and Magnetism | 3 |
| PHY 116L | Laboratory for Physics 316 | 1 |
| Total Honors Breadth Requirement | 3 credits | |
Mathematical and Computational Foundations
Hours chosen from: (one must be an upper-division course)
| 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 |
Mathematical and Computational Foundations
Sequence 1:
| Code | Course Title | Credits |
|---|---|---|
| M 408C | Differential and Integral Calculus | 4 |
| M 408D | Sequences, Series, and Multivariable Calculus | 4 |
Mathematical and Computational Foundations
Sequence 2:
| Code | Course Title | Credits |
|---|---|---|
| M 408K | Differential Calculus | 4 |
| M 408L | Integral Calculus | |
| M 408M | Multivariable Calculus |
Mathematical and Computational Foundations
Sequence 3:
| Code | Course Title | Credits |
|---|---|---|
| M 408N | Differential Calculus for Science | 4 |
| M 408S | Integral Calculus for Science | 4 |
| M 408M | Multivariable Calculus |
Capstone
Hours chosen from:
| Code | Course Title | Credits |
|---|---|---|
| NSC 109.1 | Planning Your Capstone Experience | 1-3 |
| NSC 109.2 | Health Science Scholars Capstone Experience Preparation | 1-3 |
| NSC 109.4 | Polymathic Capstone Field Invention | 1-3 |
Capstone
Sequence 2:
| Code | Course Title | Credits |
|---|---|---|
| NSC 323 | Natural Sciences Topics | |
| NSC 371 | Capstone Thesis Seminar | 3 |
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 | |
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