Oregon State University College of Science 19 courses 45 total credits
The MS in Data Analytics Master's degree, offered through the Department of Statistics, provides advanced training for those seeking expertise and skill in the management, manipulation and analysis of data to address real world problems. The MS in Data Analytics Master's degree does not require an advanced mathematics background and will be attractive to currently employed professionals. This program will help employers meet workforce planning goals and contribute to self-improvement goals of current employees.
| Total Credits | 45 credits |
Prerequisites
| Code | Course Title | Credits |
|---|---|---|
| ST 351 | Introduction to Statistical Methods | 4 |
Statistics Core
| Code | Course Title | Credits |
|---|---|---|
| ST 516 | Foundations of Data Analytics | 4 |
| ST 517 | Data Analytics I | 4 |
| ST 518 | Data Analytics II | 4 |
| ST 558 | Multivariate Analytics | 3 |
| ST 566 | Time Series Analytics | 3 |
| ST 595 | Capstone Project | 3 |
Computer Science Core
| Code | Course Title | Credits |
|---|---|---|
| CS 511 | Programming and Data Structures | 4 |
| CS 512 | Data Science Tools and Programming | 4 |
| CS 513 | Applied Machine Learning | 4 |
Electives
| Code | Course Title | Credits |
|---|---|---|
| ST 515 | Design and Analysis of Planned Experiments | 3 |
| ST 525 | Applied Survival Analysis | 3 |
| ST 531 | Sampling Methods | 3 |
| ST 536 | R Programming for Data | 3 |
| ST 537 | Data Visualization | 3 |
| ST 538 | Modern Statistical Methods for Large and Complex Data Sets | 3 |
| ST 539 | Survey Methods | 3 |
| ST 591 | Introduction to Quantitative Genomics | 3 |
| ST 592 | Statistical Methods for Genomics Research | 3 |
| Total Electives | 45 credits | |
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