Economics and Data Science BS

Major: Economics and Data Science
Degree Awarded: Bachelor of Science (BS)
Calendar Type: Quarter
Minimum Required Credits: 180.0
Co-op Options: Three Co-op (Five years); One Co-op (Four years)
Classification of Instructional Programs (CIP) code: 30.3901
Standard Occupational Classification (SOC) code: 15-2041, 15-2051, 19-3011, 11-9199

About the Program

The STEM-designated 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.

Additional Information

For more information please contact our LeBow College Undergraduate Advising department at lebowadv@drexel.edu or the College of Computing & Informatics at cciinfo@drexel.edu 

Degree Requirements

University Requirements
UNIV B101The Drexel Experience1.0
or UNIV CI101 The Drexel Experience
CIVC 101Introduction to Civic Engagement1.0
COOP 101Career Management and Professional Development *1.0
UNIV B201Career 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
Select one of the following sequences: **
MATH 101
MATH 102
MATH 180
MATH 201
Introduction to Analysis I
and Introduction to Analysis II
and Discrete Computational Structures
and Linear Algebra
16.0-18.0
or MATH 105
MATH 121
MATH 180
MATH 201
Algebra, Functions, and Trigonometry
and Calculus I
and Discrete Computational Structures
and Linear Algebra
or MATH 116
MATH 117
MATH 180
MATH 201
Calculus and Functions I
and Calculus and Functions II
and Discrete Computational Structures
and Linear Algebra
STAT 201Introduction to Business Statistics4.0
or MATH 311 Probability and Statistics I
STAT 202Business Statistics II4.0
or MATH 312 Probability and Statistics II
Computer Science
CS 150Computer Science Principles0.0-3.0
or CS 164 Introduction to Computer Science
CS 171Computer Programming I0.0,3.0
CS 172Computer Programming II0.0,3.0
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 322Economics Seminar4.0
ECON 350Applied Econometrics4.0
ECON 360Time Series Econometrics4.0
or ECON 370 Experiments and Causality in Economics
Data Science Requirements
CS 260Data Structures4.0
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
Mathematical Models in Economics
Economics of Small Business
Economics of Happiness
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
Economic Crises: The American Experience
Special Topics in Economics
Special Topics in Economics
Special Topics in Economics
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 Electives34.0
Total Credits171.0-182.0
*

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major.

COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

**

Students should speak with an advisor about their math placement. Students who place out of the first math course in a sequence will have additional credits of free electives. Some students who select the MATH 116 & MATH 117 sequence may need a one-credit concurrent practicum course depending on their calculus exam score and summer preparatory review participation.

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 

Plan of Study Grid
First Year
FallCredits
CIVC 101 Introduction to Civic Engagement 1.0
ECON 201 Principles of Microeconomics 4.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
INFO 101 Introduction to Computing and Security Technology 3.0
UNIV B101
The Drexel Experience
or The Drexel Experience
1.0
MATH 101
Introduction to Analysis I
or Algebra, Functions, and Trigonometry
or Calculus and Functions I
or Calculus I
4.0-6.0
 Credits16-18
Winter
COOP 101 Career Management and Professional Development * 1.0
ECON 202 Principles of Macroeconomics 4.0
ECON 270 Using Big Data to Solve Economic and Social Problems 4.0
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
MATH 102
Introduction to Analysis II
or Calculus I
or Calculus and Functions II
or Linear Algebra
4.0
 Credits16
Spring
CS 150
Computer Science Principles
or Introduction to Computer Science
0.0-3.0
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
INFO 103 Introduction to Data Science 3.0
MATH 201
Linear Algebra
or Discrete Computational Structures
4.0
 Credits10-13
Summer
VACATION  
 Credits0
Second Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
CS 171 Computer Programming I 0.0,3.0
ECON 301 Microeconomics 4.0
INFO 210 Database Management Systems 3.0
STAT 201
Introduction to Business Statistics
or Probability and Statistics I
4.0
MATH 180 Discrete Computational Structures 4.0
 Credits15-18
Summer
COM 230 Techniques of Speaking 3.0
CS 172 Computer Programming II 0.0,3.0
ECON 250 Game Theory and Applications 4.0
STAT 202
Business Statistics II
or Probability and Statistics II
4.0
 Credits11-14
Third Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
CS 265 Advanced Programming Tools and Techniques 3.0
ECON 321 Macroeconomics 4.0
ECON 350 Applied Econometrics 4.0
INFO 212 Data Science Programming I 3.0
INFO 440 Social Media Data Analysis 3.0
 Credits17
Summer
CS 260 Data Structures 4.0
INFO 213 Data Science Programming II 3.0
INFO 250 Information Visualization 3.0
ECON Elective 4.0
 
 Credits14
Fourth Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
DSCI 351 Recommender Systems 3.0
INFO 323 Cloud Computing and Big Data 3.0
ECON Elective 4.0
Free Elective 4.0
 Credits14
Summer
DSCI 471 Applied Deep Learning 3.0
INFO 332 Exploratory Data Analytics 3.0
Free Elective 8.0
 Credits14
Fifth Year
Fall
ECON 360
Time Series Econometrics
or Experiments and Causality in Economics
4.0
Free Electives 7.0
Data Science Elective 3.0
 Credits14
Winter
UNIV B201 Career Management 1.0
Data Science Elective 3.0
ECON Elective 4.0
Free Elective 7.0
 Credits15
Spring
ECON 322 Economics Seminar 4.0
INFO 442 Data Science Projects 3.0
Free Elective 8.0
 Credits15
 Total Credits171-182
*

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major.

COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

Students who placed out of the first course in their math sequence will have additional credits of free electives.

4 Year 1 Coop

Plan of Study Grid
First Year
FallCredits
UNIV B101
The Drexel Experience
or The Drexel Experience
1.0
CIVC 101 Introduction to Civic Engagement 1.0
ENGL 101
Composition and Rhetoric I: Inquiry and Exploratory Research
or English Composition I
3.0
INFO 101 Introduction to Computing and Security Technology 3.0
MATH 101
Introduction to Analysis I
or Algebra, Functions, and Trigonometry
or Calculus and Functions I
or Calculus I
4.0-6.0
ECON 201 Principles of Microeconomics 4.0
 Credits16-18
Winter
ENGL 102
Composition and Rhetoric II: Advanced Research and Evidence-Based Writing
or English Composition II
3.0
ECON 202 Principles of Macroeconomics 4.0
MATH 102
Introduction to Analysis II
or Calculus I
or Calculus and Functions II
or Linear Algebra
4.0
ECON 270 Using Big Data to Solve Economic and Social Problems 4.0
 Credits15
Spring
ENGL 103
Composition and Rhetoric III: Themes and Genres
or English Composition III
3.0
CS 150
Computer Science Principles
or Introduction to Computer Science
3.0
MATH 201
Linear Algebra
or Discrete Computational Structures
4.0
INFO 103 Introduction to Data Science 3.0
Free Elective 3.0
 Credits16
Summer
VACATION  
 Credits0
Second Year
Fall
CS 171 Computer Programming I 3.0
STAT 201
Introduction to Business Statistics
or Probability and Statistics I
4.0
ECON 301 Microeconomics 4.0
INFO 210 Database Management Systems 3.0
MATH 180 Discrete Computational Structures 4.0
 Credits18
Winter
CS 172 Computer Programming II 0.0,3.0
ECON 321 Macroeconomics 4.0
STAT 202
Business Statistics II
or Probability and Statistics II
4.0
COOP 101 Career Management and Professional Development 1.0
 Credits9-12
Spring
ECON 350 Applied Econometrics 4.0
COM 230 Techniques of Speaking 3.0
INFO 212 Data Science Programming I 3.0
CS 265 Advanced Programming Tools and Techniques 3.0
 Credits13
Summer
INFO 213 Data Science Programming II 3.0
INFO 250 Information Visualization 3.0
CS 260 Data Structures 4.0
Free Electives 6.0
 Credits16
Third Year
Fall
COOP EXPERIENCE  
 Credits0
Winter
COOP EXPERIENCE  
 Credits0
Spring
ECON 370
Experiments and Causality in Economics
or Time Series Econometrics
4.0
INFO 323 Cloud Computing and Big Data 3.0
INFO 440 Social Media Data Analysis 3.0
Econ Elective 4.0
 Credits14
Summer
ECON 250 Game Theory and Applications 4.0
INFO 332 Exploratory Data Analytics 3.0
Free Electives 7.0
 Credits14
Fourth Year
Fall
UNIV B201 Career Management 1.0
ECON 322 Economics Seminar 4.0
Econ Elective 4.0
Data Science Elective 3.0
Free Elective 3.0
 Credits15
Winter
DSCI 351 Recommender Systems 3.0
Data Science Elective 3.0
Econ Elective 4.0
Free Electives 6.0
 Credits16
Spring
DSCI 471 Applied Deep Learning 3.0
INFO 442 Data Science Projects 3.0
Free Electives 9.0
 Credits15
 Total Credits177-182
 
*

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major.

COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

Students who placed out of the first course in their math sequence will have additional credits of free electives.