Economics and Data Science MS
Major: Economics and Data Science
Degree Awarded: Master of Science (MS)
Calendar Type: Quarter
Minimum Required Credits: 45.0
Classification of Instructional Programs (CIP) code: 30.3901
Standard Occupational Classification (SOC) code: 15-2051, 15-1252, 11-2021
About the Program
The MS in Economics and Data Science program is an interdisciplinary STEM degree that prepares graduates to work in an data-driven environment in business, government, and academia. Coursework in data science teaches students how to manage, manipulate, and parse data to extract knowledge and insight. Economics courses provides a framework for understanding the causes and effects of what the data measure and how to forecast based on that information. The program provides excellent training for careers in insurance, consulting, finance, data analytics, retailing, and government. It also provides outstanding preparation for further graduate study at the PhD level in business, data science, public health, economics and/or other social sciences.
Additional Information
For more information please contact our Graduate Student Services department at lebowgradenroll@drexel.edu.
Admission Requirements
- Official transcripts from all colleges/universities attended
- One letter of recommendation
- Personal statement
- Resume
- A GMAT or GRE can be submitted for additional consideration for admissions. Our admissions committee decisions are based on the entire application package.
- International Applicants
- TOEFL or IELTS is required for applicants who did not earn an undergraduate or graduate degree in the United States. For admission consideration, we look for an overall minimum TOEFL score of 90 (with a 22 or higher in Speaking and Listening).; alternatively, an overall minimum IELTS score of 6.5 (with a minimum score of 6.5 in Speaking and Listening).
Degree Requirements
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Required Courses Economics Core ECON 540 Intro to Econometrics and Data Analysis 3.0 ECON 548 Mathematical Economics 3.0 ECON 550 Econometrics 3.0 ECON 610 Microeconomics 3.0 ECON 614 Macroeconomics 3.0 Data Science Core CS 570 Programming Foundations 3.0 DSCI 511 Data Acquisition and Pre-Processing 3.0 DSCI 521 Data Analysis and Interpretation 3.0 DSCI 631 Applied Machine Learning for Data Science 3.0 DSCI 632 Applied Cloud Computing 3.0 Electives Select five (5) courses from the following subjects at the 500-799 level: 15.0 Any BUSN Business Any CS Computer Science Any DSCI Data Science Any ECON Economics Any INFO Information Science and Systems Any MATH Mathematics Total Credits 45.0
Sample Plan of Study
Full-Time
First Year | |||||||
---|---|---|---|---|---|---|---|
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
ECON 540 | 3.0 | ECON 550 | 3.0 | ECON 614 | 3.0 | DSCI 632 | 3.0 |
ECON 548 | 3.0 | ECON 610 | 3.0 | DSCI 521 | 3.0 | Elective | 3.0 |
CS 570 | 3.0 | DSCI 511 | 3.0 | DSCI 631 | 3.0 | ||
9 | 9 | 9 | 6 | ||||
Second Year | |||||||
Fall | Credits | Winter | Credits | ||||
Electives | 6.0 | Electives | 6.0 | ||||
6 | 6 | ||||||
Total Credits 45 |
Part-time
First Year (Part-Time) | |||||||
---|---|---|---|---|---|---|---|
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
ECON 540 | 3.0 | CS 570 | 3.0 | DSCI 511 | 3.0 | DSCI 521 | 3.0 |
ECON 548 | 3.0 | ECON 550 | 3.0 | ECON 614 | 3.0 | Elective | 3.0 |
6 | 6 | 6 | 6 | ||||
Second Year (Part-Time) | |||||||
Fall | Credits | Winter | Credits | Spring | Credits | Summer | Credits |
DSCI 631 | 3.0 | DSCI 632 | 3.0 | Electives | 6.0 | Elective * | 3.0 |
Elective | 3.0 | ECON 610 | 3.0 | ||||
6 | 6 | 6 | 3 | ||||
Total Credits 45 |
- *
Note: This term is less than the 4.5-credit minimum required (considered half-time status) of graduate programs to be considered financial aid eligible. As a result, aid will not be disbursed to students this term.