Economics and Computer Science MSECCS

Major: Economics and Computer Science
Degree Awarded: Master of Science in Economics & Computer Science (MSECCS)
Calendar Type: Quarter
Minimum Required Credits: 45.0
Classification of Instructional Programs (CIP) code: 30.3901
Standard Occupational Classification (SOC) code:
19-3011; 15-2051

About the Program

Advanced computing is disrupting the economy. Markets are increasingly moving to online platforms and machine learning and algorithms are replacing people in the provision of goods and services. Businesses and governments need leaders who understand the computer science that powers these new systems and who can also use economic theory and intuition to help design them.  

The STEM-designated Drexel LeBow MS in Economics & Computer Science degree serves this need by combining training in advanced computation, data analysis, and economics to prepare students for careers at the interconnection of these two fields.

Additional Information

For more information please contact our Graduate Student Services department at

Admission Requirements

  • Bachelor's degree
  • GRE or GMAT
  • Two letters of recommendation
  • Statement of purpose

Additional Information

For more information, please contact Lori Miceli or call 215-895-0975.

Degree Requirements

Economics Requirements
ECON 540Intro to Econometrics and Data Analysis3.0
or STAT 610 Statistics for Business Analytics
ECON 548Mathematical Economics3.0
ECON 550Econometrics3.0
ECON 560Time Series Econometrics3.0
ECON 610Microeconomics3.0
ECON 614Macroeconomics3.0
ECON 700Economics Seminar3.0
Computer Science Requirements
Select six of the following courses: *18.0
Fundamentals of Databases
Introduction to Programming
Data Structures and Algorithms
Systems Basics
Introduction to Software Design
Introduction to Artificial Intelligence
Data Structures and Algorithms I
Data Structures and Algorithms II
Theory of Computation
Advanced Artificial Intelligence
Machine Learning
Applications of Machine Learning
Deep Learning
Algorithmic Game Theory
Data Analysis at Scale
Applied Artificial Intelligence
Software Design
Experiential Learning Requirement3.0
Please select one (1) of the following:
Graduate Internship
International Business Seminar and Residency
Leading for Innovation
Business Consulting
Graduate-level electives3.0
Total Credits45.0

Sample Plan of Study

Full Time

First Year
CS 5013.0CS 5023.0ECON 5603.0VACATION
CS 5033.0CS 5043.0CS Required elective3.0 
ECON 5403.0ECON 5503.0Experiential Learning Course3.0 
 9 9 9 0
Second Year
ECON 5483.0ECON 6143.0  
ECON 6103.0ECON 7003.0  
CS Required elective3.0Elective3.0  
 9 9  
Total Credits 45

Part Time

First Year
CS 5013.0CS 5023.0CS 5033.0CS 5043.0
ECON 5403.0ECON 5503.0ECON 5603.0Experiential Learning Course3.0
 6 6 6 6
Second Year
ECON 5483.0ECON 6143.0CS Required Electives6.0Elective*3.0
ECON 6103.0ECON 7003.0  
 6 6 6 3
Total Credits 45

Note: Second Year Summer 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.

Note: Some terms are 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 these terms.

  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees