Course Schedule
Below is a sample course schedule and the expected path through the Master of Information and Data Science degree program. All students are required to take two courses in their first term. Students who are interested in taking the program on an accelerated basis can complete their coursework in 3 or 4 terms with approval from the School by taking up to 3 courses in one or more terms1.
Term 1
| COURSE | UNITS |
|---|---|
| Research Design and Application for Data and Analysis | 3 |
| Statistics for Data Science | 3 |
Term 2
| COURSE | UNITS |
|---|---|
| Fundamentals of Data Engineering | 3 |
| Advanced Course #1 | 3 |
Term 3
| COURSE | UNITS |
|---|---|
| Applied Machine Learning | 3 |
| Advanced Course #2 | 3 |
Term 4
| COURSE | UNITS |
|---|---|
| Data Visualization | 3 |
| Advanced Course #3 | 3 |
Term 5
| COURSE | UNITS |
|---|---|
| Capstone | 3 |
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1 Subject to maintaining good standing in the program and space availability in courses.↑