Economics and Computer Science

Enrolling for Fall 2018
Application deadline for Fall 2018: June 30, 2018.

Please visit the Economics and Computer Science web page for more information about the program, admission requirements and application details.

Major: Economics and Computer Science
Degree Awarded: Master of Science in Economics & Computer Science (MSECCS)
Calendar Type: Quarter
Total Credit Hours: 45.0
Classification of Instructional Programs (CIP) code: 45.0603
Standard Occupational Classification (SOC) code:
19-3011

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

Admission Requirements

Bachelors degree. GRE or GMAT. Two letter of recommendation. Statement of purpose. For more information please contact Lori Miceli or 215-895-0975.

Degree Requirements

Economics Requirements
ECON 540Intro to Econometrics and Data Analysis3.0
or STAT 610 Statistics for Business Analytics
or STAT 601 Business Statistics
ECON 548Mathematical Economics3.0
ECON 550Econometrics3.0
ECON 560Time Series Econometrics3.0
ECON 610Microeconomics3.0
ECON 614Macroeconomics3.0
or ECON 631 International Macroeconomics
ECON 700Economics Seminar3.0
Computer Science Requirements
Select six of the following courses: *18.0
Fundamentals of Databases
Introduction to Artificial Intelligence
Computer Science Foundations
Data Structures and Algorithms I
Theory of Computation
Programming Foundations
Advanced Programming Techniques
Software Design
Privacy
Advanced Artificial Intelligence
Machine Learning
Graduate-level electives6.0
Total Credits45.0

Sample Plan of Study

Term 1Credits
CS 570Programming Foundations3.0
ECON 540Intro to Econometrics and Data Analysis3.0
ECON 548Mathematical Economics3.0
 Term Credits9.0
Term 2
CS 571Advanced Programming Techniques3.0
ECON 550Econometrics3.0
ECON 614Macroeconomics3.0
 Term Credits9.0
Term 3
CS 520Computer Science Foundations3.0
ECON 560Time Series Econometrics3.0
Elective3.0
 Term Credits9.0
Term 4
ECON 610Microeconomics3.0
CS Required Electives6.0
 Term Credits9.0
Term 5
ECON 700Economics Seminar3.0
CS Required Elective3.0
Elective3.0
 Term Credits9.0
Total Credit: 45.0
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