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

1.  

   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

Part-time

*

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.