Post-Baccalaureate Data Science Certificate Curriculum
The post-baccalaureate data science certificate program requirements include courses in one of two tracks: the machine learning track or the statistical learning track.
The data science post-baccalaureate coursework in machine learning track starts in the fall semester of even years. Data science post-bacc coursework in statistical learning starts in the fall semester of odd years.
Data Science Courses in Machine Learning Track
|
Fall |
Spring |
|---|---|
|
MATH 206 Computational Linear Algebra (4 credits) |
DSCI 440W Machine Learning and Data Mining (4 credits) |
|
DSCI 340 Algorithms and Data Structures (4 credits) |
DSCI 210 Data visualization with Python (2 credits) |
Data Science Courses in Statistical Learning Track
|
Fall |
Spring |
|---|---|
|
MATH 206 Computational Linear Algebra (4 credits) |
DSCI 407 Statistical Modeling and Regression (4 credits) |
|
MATH 307 Calculus Based Statistics (4 credits) |
DSCI 210 Data visualization with Python (2 credits) |
Students with a bachelor’s degree in a STEM field who do not have two semester courses of computer science fundamentals (or equivalent experience) and/or 2 semester courses of calculus must complete (or be in the process of completing) prerequisite coursework to apply to the Pacific University post-baccalaureate program in data science.
Students admitted to the post-baccalaureate program must complete all prerequisite coursework prior to registering as a student.