Economics and Data Science

Major: Economics and Data Science
Degree Awarded: Bachelor of Science (BS)
Calendar Type: Quarter
Total Credit Hours: 180.0
Co-op Options: Three Co-op (Five years); One Co-op (Four years)
Classification of Instructional Programs (CIP) code: 45.0603
Standard Occupational Classification (SOC) code: 15-2041, 15-2051, 19-3011, 11-9199

About the Program

Economics and Data Science is an interdisciplinary major that prepares students to work in an economy that has been transformed by the emergence of digital commerce and massive amounts of data. Coursework in data science teaches students how to manage, manipulate, and parse data to extract knowledge and insight.

Through the study of economics, students learn how the design of platforms shapes incentives, drives behavior, and determines social and economic outcomes including equity and efficiency. Students also learn how data may be used for predictive or causal analysis to inform business decisions or public policy.

The program provides excellent training for careers in the digital economy, including areas such as insurance, consulting, finance, retailing, and government. It also provides outstanding preparation for graduate study in business, data science, public health, economics, or other social sciences.

Degree Requirements

University Requirements
UNIV B101The Drexel Experience1.0
or UNIV C101 The Drexel Experience
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development1.0
UNIV B201 [WI] Career Management1.0
General Education Requirements
English Requirements
ENGL 101Composition and Rhetoric I: Inquiry and Exploratory Research3.0
or ENGL 111 English Composition I
ENGL 102Composition and Rhetoric II: Advanced Research and Evidence-Based Writing3.0
or ENGL 112 English Composition II
ENGL 103Composition and Rhetoric III: Themes and Genres3.0
or ENGL 113 English Composition III
Communications Requirement
COM 230Techniques of Speaking3.0
Mathematics and Statistics
MATH 121Calculus I4.0
MATH 180Discrete Computational Structures4.0
MATH 201Linear Algebra4.0
STAT 201Introduction to Business Statistics4.0
STAT 202Business Statistics II4.0
Computer Science
CS 150Computer Science Principles3.0
or CS 164 Introduction to Computer Science
CS 171Computer Programming I3.0
CS 172Computer Programming II3.0
Economics Requirements
ECON 201Principles of Microeconomics4.0
ECON 202Principles of Macroeconomics4.0
ECON 250Game Theory and Applications4.0
ECON 270Using Big Data to Solve Economic and Social Problems4.0
ECON 301Microeconomics4.0
ECON 321Macroeconomics4.0
ECON 322 [WI] Economics Seminar4.0
ECON 350 [WI] Applied Econometrics4.0
ECON 360Time Series Econometrics4.0
or ECON 370 Experiments and Causality in Economics
Data Science Requirements
CS 260Data Structures3.0
CS 265Advanced Programming Tools and Techniques3.0
DSCI 351Recommender Systems3.0
DSCI 471Applied Deep Learning3.0
INFO 101Introduction to Computing and Security Technology3.0
INFO 103Introduction to Data Science3.0
INFO 210Database Management Systems3.0
INFO 212Data Science Programming I3.0
INFO 213Data Science Programming II3.0
INFO 250Information Visualization3.0
INFO 323Cloud Computing and Big Data 3.0
INFO 332Exploratory Data Analytics 3.0
INFO 440Social Media Data Analysis3.0
INFO 442Data Science Projects 3.0
Economics Electives
Select 12 credits from the following12.0
Survey of Economic Policy
Economics of Small Business
Economic Ideas
Managerial Economics
International Macroeconomics
Public Finance
Labor Economics
Industrial Organization
Economic Development
Comparative Economic Systems
Mathematical Economics
Resource and Environmental Economics
Money and Banking
Time Series Econometrics
Health Economics
Behavioral Economics
Topics in Behavioral Economics
Experiments and Causality in Economics
Special Topics in ECON
Multinational Corporations
International Trade
International Money and Finance
Regional Studies in Economic Policies and International Business
Seminar in International Business
Sport Economics
Data Science Electives
Select 6 credits from the following courses6.0
Mathematical Foundations of Computer Science
Artificial Intelligence
Machine Learning
Advanced Database Management Systems
Data Mining Applications
Advanced Data Analytics
Free Electives39.0
Total Credits180.0

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

5 Year 3 Coop 

First Year
CIVC 1011.0COOP 101*1.0CS 150 or 1643.0VACATION
ECON 2014.0ECON 2024.0ENGL 103 or 1133.0 
ENGL 101 or 1113.0ECON 2704.0INFO 1033.0 
INFO 1013.0ENGL 102 or 1123.0MATH 1804.0 
MATH 1214.0MATH 2014.0  
UNIV B101 or C1011.0   
 16 16 13 0
Second Year
  ECON 3014.0CS 1723.0
  INFO 2103.0ECON 2504.0
  STAT 2014.0STAT 2024.0
 0 0 14 14
Third Year
  ECON 3214.0INFO 2133.0
  ECON 3504.0INFO 2503.0
  INFO 2123.0ECON Elective4.0
  INFO 4403.0Free Elective4.0
 0 0 17 17
Fourth Year
  INFO 3233.0INFO 3323.0
  ECON Elective4.0Free Electives8.0
  Free Elective4.0 
 0 0 14 14
Fifth Year
ECON 360 or 3704.0UNIV B2011.0ECON 3224.0 
Free Electives8.0Data Science Elective3.0INFO 4423.0 
Data Science Elective3.0ECON Elective4.0Free Electives8.0 
 Free Elective7.0  
 15 15 15 
Total Credits 180

4 Year 1 Coop

First Year
UNIV B101 or C1011.0ENGL 102 or 1123.0ENGL 103 or 1133.0VACATION
CIVC 1011.0MATH 2014.0MATH 1804.0 
ENGL 101 or 1113.0ECON 2024.0CS 150 or 1643.0 
MATH 1214.0ECON 2704.0INFO 1033.0 
INFO 1013.0 Free Elective3.0 
ECON 2014.0   
 16 15 16 0
Second Year
COOP 101*1.0CS 1723.0ECON 3504.0INFO 2133.0
CS 1713.0ECON 3214.0COM 2303.0INFO 2503.0
STAT 2014.0STAT 2024.0INFO 2123.0CS 2603.0
ECON 3014.0Free Elective3.0CS 2653.0Free Electives7.0
INFO 2103.0   
 15 14 13 16
Third Year
  INFO 3233.0INFO 3323.0
  INFO 4403.0Free Electives7.0
  Econ Elective4.0 
 0 0 14 14
Fourth Year
UNIV B2011.0DSCI 3513.0DSCI 4713.0 
ECON 3224.0Data Science Elective3.0INFO 4423.0 
Econ Elective4.0Econ Elective4.0Free Electives10.0 
Data Science Elective3.0Free Electives6.0  
Free Elective3.0   
 15 16 16 
Total Credits 180
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