| # | Number | Title | Prerequisites |
|---|---|---|---|
| I | 01:198:142/ 01:960:142 | Data 101/ Data literacy | Some math knowledge |
| II | 01:960:291 | Statistical inference for data science | 01:198:142/ 01:960:142 |
| III | 01:198:210 | Data management for data science | 01:198:142/ 01:198:111 |
| 01:960:295 | Data management and wrangling with R | 01:198:142/ 01:960:142 | |
| 04:547:221 | Fundamentals of big data curation & management, pending revision | 01:198:142/ 01:960:142 | |
| IV+ | 01:198:310 | 1 credit capstone - default option | I, II, and III |
| 01:220:323 | 1 credit capstone for economics | I, II, and III |
IV. Domain classes (check department for prerequisites)
| Course # | Course Name |
|---|---|
| 01:198:439 | Introduction to Data Science (and 198:310 capstone) |
| 01:220:322 | Econometrics (and 220:323 capstone) |
| 01:447:302 | Quantitative Biology and Bioinformatics (and 198:310 capstone) |
| 01:447:303 | Computational Genetics of Big Data (and 198:310 capstone) |
| 01:450:320 | Spatial Data Analysis (and 198:310 capstone) |
| 01:450:321 | Geographic Information Systems (and 198:310 capstone) |
| 01:450:330 | Geographical Research Methods (and 198:310 capstone) |
| 01:640:350 | Linear Algebra (and 198:310 capstone) |
| 01:640:477 | Mathematical Theory of Probability (and 198:310 capstone) |
| 01:640:478 | Introduction to Stochastic Processes (and 198:310 capstone) |
| 01:640:481 | Mathematical Theory of Statistics (and 198:310 capstone) |
| 01:750:345 | Computational Astrophysics (and 198:310 capstone) |
| 01:790:391 | Data Science for Political Science (and 198:310 capstone) |
| 01:830:400 | Advanced Statistical Methods in Psychology (and 198:310 capstone) |
| 01:830:403 | Programming for Behavioral Scientists (and 198:310 capstone) |
| 04:547:321 | Information Visualization (and 198:310 capstone) |
| 01:960:365 | Bayesian Data Analysis (and 198:310 capstone) |
| 01:960:463 | Regression Methods (and 198:310 capstone) |
| 01:960:486 | Computing and Graphics in Applied Statistics (and 198:310 capstone) |
| - | Other, to be determined |
Data Science UG Certificate Course Planner/Navigator
| Completion | Spring Semester start | Fall Semester Start |
|---|---|---|
| In 3 semesters | Spring: Data 101 (CS142) | Fall: Data 101(CS142) |
| Fall: Stats inference (Stats291) and Data Management class (CS210/Stats295) | Spring: Data Management class (CS210/Stats295) and Domain class(choose) | |
| Next Spring: Domain class(choose) plus Capstone(CS310) | Next Fall: Stats inference (Stats291) plus Capstone(CS310)/(Econ323) | |
| In 4 semesters | Spring: Data 101(CS142) | Fall: Data 101(CS142) |
| Fall: Stats inference (Stats291) | Spring: Data Management class (CS210/Stats295) | |
| Next Spring: Data Management class (CS210/Stats295) | Next Fall: Stats inference (Stats291) | |
| Next Fall: Domain class(choose) plus Capstone(CS310)/(Econ323) | Next Spring: Domain class(choose) plus Capstone(CS310) |
