MS in Applied Data Science Curriculum
Pre-Quarter Course Waiver Requirements
Students who wish to waive any of the foundational courses will need to complete an assessment exam for each course that they wish to waive, which is held prior to the quarter of admission. Students will receive an email notice when the assessments are scheduled. Failure to pass any of the assessments will result in students to have to enroll in the parallel foundational courses. All assessment results are final.
| Course | Requirements to Waive |
| ADSP 31000 Introduction to Statistical Concepts (non-credit, online course offered during pre-quarter) | Students must earn a 70% or higher on the Statistics assessment. |
| ADSP 37020: R for Data Science (non-credit, online course offered during pre-quarter) | Students must earn a 80% or higher on the R assessment. |
| ADSP 37021: Python for Data Science (non-credit, online course offered during first 5-weeks of the first admitted quarter) | Students must earn a 80% or higher on the Python assessment. |
| ADSP 37016: Advanced Linear Algebra for Machine Learning (non-credit, online course offered during second 5-weeks of the first admitted quarter) | Students must earn a 80% or higher on the Linear Algebra assessment. |