See below for recommended sequences of courses to complete the Master of Science in Data Science in one year or in 1.5 years.
Recommended course sequence—
1 year to MS, Data Science
Summer Session II (July/August) - 1 Year Plan
| DSCI 310 - Introduction to Data Science | 3 |
| DSCI 311 - Optimization and Mathematical Foundations for Data Science | 3 |
Fall Semester - 1 Year Plan
| DSCI 321 - Algorithms and Software Foundations for Data Science | 3 |
| DSCI 431 - Introduction to Statistical Modeling | 3 |
| DSCI 451 - Ethics in Data Science | 3 |
| Approved Elective | 3 |
Spring Semester - 1 Year Plan
| DSCI 411 - Data Management for Big Data OR DSCI 421 - Accelerated Computing for Machine Learning |
3 |
| DSCI 441 - Statistical and Machine Learning | 3 |
| Approved Elective | 3 |
| Approved Elective | 3 |
Recommended course sequence—
1.5 years to MS, Data Science
Summer Session II (July/August) - 1.5 Year Plan
| DSCI 310 - Introduction to Data Science | 3 |
| DSCI 311 - Optimization and Mathematical Foundations for Data Science | 3 |
Fall Semester - 1.5 Year Plan
| DSCI 321 - Algorithms and Software Foundations for Data Science | 3 |
| DSCI 431 - Introduction to Statistical Modeling | 3 |
| DSCI 451 - Ethics in Data Science | 3 |
Spring Semester - 1.5 Year Plan
| DSCI 411 - Data Management for Big Data OR DSCI 421 - Accelerated Computing for Machine Learning |
3 |
| DSCI 441 - Statistical and Machine Learning | 3 |
| Approved Elective | 3 |
Summer Semester - 1.5 Year Plan
| Optional Internship | 3 |
Fall Semester - 1.5 Year Plan
| Two Approved Electives OR Thesis | 6 |
