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To learn more about Drexel LeBow’s master’s programs, students are encouraged to attend an information session or request additional information.
Drexel’s LeBow College of Business provides you with plan of study options that work with your schedule.
MS in Economics and Data Science Full-Time
Below is a sample plan of study for a student enrolled in our full-time Master of Science in Economics and Data Science degree program. Full-time students will determine a customized plan of study with their program advisor.
Full-Time Sample Plan of Study
| Term | Course | Title | Credits |
|---|---|---|---|
| Term 1: Fall (9 credits) |
ECON 540 | Intro to Econometrics and Data Analysis | 3 |
| ECON 548 | Mathematical Economics | 3 | |
| CS 570/DSCI 511 | Programming Foundations/Data Acquisition and Pre-Processing | 3 | |
| Term 2: Winter (9 credits) |
ECON 610 | Microeconomics | 3 |
| ECON 614 | Macroeconomics (Prerequisite: ECON 548 or ECON 610) |
3 | |
| DSCI 511/DSCI 521 | Data Acquisition and Pre-Processing/Data Analysis and Interpretation | 3 | |
| Term 3: Spring (9 credits) |
ECON 550 | Econometrics (Prerequisite: ECON 540 or STAT 601 or STAT 610 or BSAN 601) |
3 |
| DSCI 521/Elective | Data Analysis and Interpretation/Elective (ECON 560) | 3 | |
| DSCI 631/Elective | Applied Machine Learning for Data Science/Elective (ECON 560) | 3 | |
| Term 4: Summer (3 credits) |
Experiential Learning | Experiential Option | 3 |
| Term 5: Fall (9 credits) |
Elective | Elective Course | 3 |
| Elective | Elective Course | 3 | |
| Elective | Elective Course | 3 | |
| Term 6: Winter (6 credits) |
DSCI 632 | Applied Cloud Computing | 3 |
| Elective | Elective Course | 3 | |
| Total Credits | 45 |
MS in Economics and Data Science Part-Time
Part-time graduate students in the economics and data science program can finish in as little as three years, depending on the number of courses taken each term. Part-time students will determine a customized plan of study with their program advisor.
Part-time Sample Plan of Study
| Term | Course | Title | Credits |
|---|---|---|---|
| Term 1: Fall (6 credits) |
ECON 540 | Intro to Econometrics and Data Analysis | 3 |
| ECON 548 | Mathematical Economics | 3 | |
| Term 2: Winter (6 credits) |
ECON 610 | Microeconomics | 3 |
| CS 570/DSCI 511 | Programming Foundations/Data Acquisition and Pre-Processing | 3 | |
| Term 3: Spring (6 credits) |
ECON 550 | Econometrics (Prerequisite: ECON 540 or STAT 601 or STAT 610 or BSAN 601) |
3 |
| DSCI 511/DSCI 521 | Data Acquisition and Pre-Processing/Data Analysis and Interpretation | 3 | |
| Term 4: Summer (6 credits) |
DSCI 521/Elective | Data Analysis and Interpretation | 3 |
| Experiential Learning | Experiential Option | 3 | |
| Term 5: Fall (6 credits) |
DSCI 631/Elective | Applied Machine Learning for Data Science | 3 |
| Elective | Elective Course | 3 | |
| Term 6: Winter (6 credits) |
DSCI 632 | Applied Cloud Computing | 3 |
| Elective | Elective Course | 3 | |
| Term 7: Spring (6 credits) |
ECON 614 | Macroeconomics (Prerequisite: ECON 548 or ECON 610) |
3 |
| Elective | Elective Course | 3 | |
| Term 8: Summer (3 credits) |
Elective | Elective Course | 3 |
| Total Credits | 45 |