Economics and Data Science BSECDS

Degree Awarded: BS in Economics & Data Science (BSECDS)
Minimum Required Credits: 122.0
Co-op Option: Three Co-op, Two Co-op, One Co-op, No Co-op
Classification of Instructional Programs (CIP) code: 30.3901
Standard Occupational Classification (SOC) code: 15-2041

About the Program

The Bachelor of Science in Economics and Data Science is an interdisciplinary degree jointly administered by Drexel University’s LeBow College of Business and the College of Engineering and Computing. This STEM-designated program integrates economic theory with data science techniques to prepare students for analytical reasoning in a data-intensive world. Students explore how markets and institutions function and how data can be harnessed to understand behavior, evaluate decisions, and address complex societal and business challenges. Through this combination, graduates develop a capacity for evidence-based decision-making and quantitative insight into contemporary economic and organizational problems. The curriculum blends foundational study in microeconomics, macroeconomics, and economic statistics with core elements of data science, including problem definition, predictive analytics, and scalable data processing workflows.

Emphasis is placed on quantitative methods that support modeling, interpretation, and communication of economic and data-driven insights. Students cultivate skills in analyzing structured and unstructured data, applying predictive and causal frameworks, and using analytical tools to address real-world questions. Coursework advances competencies in hypothesis formulation, model building, and interpretation of results in contexts ranging from markets to public policy.

Drexel’s distinctive experiential education model offers students structured opportunities to integrate academic study with professional experience. Through the cooperative (co-op) education program, students can engage in full-time work experiences that align with their interests in economics and data science. Experiential learning opportunities such as co-op placements complement the degree by giving students opportunities to apply their analytical and computational skills to real-world organizational and policy challenges prior to graduation.

Graduates of the Economics and Data Science degree are prepared for a wide range of careers and graduate study pathways that rely on quantitative analysis, economic reasoning, and data-driven decision-making. Career directions may include roles involving economic analysis, data analytics, business or market research, policy evaluation, consulting, or analytical work in technology-focused organizations, as well as positions that support strategic planning or operational decision-making. The program also provides a strong foundation for further study in economics, data science, business, public policy, or related analytical disciplines, emphasizing transferable skills that support long-term adaptability across sectors.
 

Additional Information

For more information please contact the School of Economics

Admission Requirements

Same as Drexel admission requirements.

Degree Requirements

University Requirements
EXP 1001Introduction to Experiential Learning3.0
WRIT 1100Composition and Rhetoric I3.0
or WRIT 1110 English Composition I
WRIT 1200Composition and Rhetoric II3.0
or WRIT 1210 English Composition II
Introductory Core Competencies 1
Select one course from each of the three (3) categories of Introductory Core Competency Courses:9.0
Introductory: Inquire and Analyze
Introductory: Collaborate and Integrate
Introductory: Apply and Engage
Free Electives15.0
College Requirements
DLE 1101Dragon Awakening: Principles of Business3.0
DLE 1201Dragon Development: Problem Solving in Practice3.0
DLE 3301Dragon Transitions: Navigating Your Career Journey1.0
ECON 1201Principles of Microeconomics3.0
Program Requirements
CS 1020Introduction to Computer Programming3.0
or CS 1030 Computer Science I
Select one of the following MATH sequences:7.0-8.0
Mathematical Tools and Techniques
and Survey of Calculus
Precalculus
and Calculus I
Calculus I
and Calculus II
STAT 2201Business Statistics I3.0
or MATH 2801 Probability and Statistics I
MATH 2401Linear Algebra I3.0
or MATH 2901 Matrix and Differential Systems I
Economics Requirements
ECON 1202Principles of Macroeconomics3.0
ECON 2250Game Theory and Applications3.0
ECON 2301Microeconomics3.0
ECON 2302Macroeconomics3.0
ECON 2350Applied Econometrics3.0
ECON 3360Time Series Econometrics3.0
or ECON 3370 Experiments and Causality in Economics
ECON 4901Economics Seminar3.0
Economic Free Electives
Select twelve (12) credits of ECON (Economics) 1000-4999 level courses12.0
Data Science Requirements
IS 1310Computing with Data3.0
IS 2320Principles of Data Analysis3.0
IS 2515Social and Ethical Aspects of Information3.0
IS 3321Principles of Optimization and Inference3.0
IS 3330Applied Machine Learning3.0
IS 4311Data Workflow Automation and Pre-Processing3.0
Select four (4) from the following:12.0
Computer Science II
Data Structures
Principles of Artificial Intelligence
Fundamental Machine Learning
Foundations of Deep Learning
Relational Database Management Systems
Cloud Computing and Scalable Processing
Data Visualization Principles and Practice
Applied Deep Learning
Human-Centered Design Process and Methods
Data Mining Applications
Deep Learning Architectures
Social Media Data Analysis
User Modeling and Recommender Systems
Modeling Natural Language
Network Data Analysis
Data Product Development
Intelligent Search and Language Models
Software Requirements and Modeling
Optional Co-op Experience
Co-op is an option for this degree for full-time on-campus students. Co-op cycles may vary. Students choosing this option will be required to complete COOP 1001 as preparation for their co-op experience. COOP 1001 registration is determined by the co-op cycle assigned.0.0
Total Credits122.0-123.0
1

A complete list of eligible Introductory Core Competency courses can be found here.

Program Learning Outcomes