Economics and Data Science MSECDS

Degree Awarded: MS in Economics and Computer Science (MSECDS)
Minimum Required Credits: 30.0
Co-op Option: None
Classification of Instructional Programs (CIP) code: 30.3901
Standard Occupational Classification (SOC) code: 15-2051

About the Program

The MS in Economics and Data Science program at Drexel University is an interdisciplinary STEM degree collaboratively offered by the College of Engineering and Computing and the School of Economics in the LeBow College of Business. This innovative program is designed to equip graduates with the skills necessary to thrive in data-driven environments across business, government, and academia.

Students in this program will gain a robust understanding of key concepts and methodologies in both economics and data science. Graduates will develop essential skills in data analysis, economic modeling, and quantitative reasoning, which will prepare them for a variety of professional challenges. Specifically, students will achieve proficiency in statistical analysis and econometrics while also being able to apply mathematical concepts to real-world economic scenarios. Furthermore, they will gain experience in data processing and machine learning applications, thereby enhancing their critical thinking and problem-solving skills in economic contexts.

The program emphasizes a hands-on, applied learning approach where students engage in real-world data analysis projects and have access to cutting-edge tools and technologies. Students will participate in term projects that require data acquisition, preprocessing, and analysis, which fosters collaboration and practical application of their skills. Moreover, the program integrates insights from economics, data science, and computing, allowing students to tackle complex problems from multiple perspectives.

Graduates of the MS in Economics and Data Science program will find diverse career opportunities in fields such as data analytics, finance, consulting, and public policy. The program is also designed to prepare students for further academic pursuits, including doctoral studies in economics, data science, and related disciplines. Career pathways for graduates include positions as data analysts or scientists in various industries, economic consultant roles in both public and private sectors, and opportunities for research and teaching in higher education.

Drexel University’s unique experiential learning model sets it apart from similar programs at peer institutions. Students benefit from real-world experience through internship opportunities, allowing them to gain valuable work experience while completing their degree. They learn from experienced faculty who are leaders in their fields, providing insights that blend theory with practical application. Additionally, Drexel’s dedicated career services and academic advising teams are committed to supporting students throughout their academic journey and into their professional careers.

This program offers a dynamic and engaging pathway for students seeking to combine their interests in economics and data science.
 

Additional Information

For more information please contact the School of Economics

Admission Requirements

Same as Drexel admission requirements.

Degree Requirements

Degree Requirements
CS 5010Programming Data Structures and Algorithms3.0
ECON 5540Introduction to Econometrics and Data Analysis1.5
ECON 5548Mathematical Economics1.5
ECON 5550Econometrics3.0
ECON 6610Microeconomics3.0
ECON 6614Macroeconomics3.0
IS 5310Introduction to Data Science3.0
IS 5320Principles of Data Analysis3.0
IS 5330Applied Machine Learning3.0
Capstone Course
ECON 7700Economics Seminar3.0
Free Electives
Select three (3) credits from any LeBow College or College of Computing and Informatics courses with a course number range of 5000-7000 13.0
Total Credits30.0
1

With advisor approval students may choose an 8000-level course

Program Learning Outcomes

PLO 1 - Advanced Economic Analysis: Students will demonstrate the ability to apply advanced economic theories and quantitative methods to analyze complex economic problems, utilizing econometric models and data analysis techniques to derive meaningful insights and policy implications.
 
PLO 2 - Critical Thinking and Problem Solving: Graduates will develop strong critical thinking and ethical reasoning skills, enabling them to evaluate economic policies and their societal impacts, propose evidence-based solutions, and effectively address real-world economic challenges.
 
PLO 3 - Research and Communication Skills: Students will acquire the ability to conduct rigorous economic research, including formulating research questions, analyzing empirical data, and interpreting results. They will also be skilled in communicating complex economic concepts clearly and persuasively to diverse audiences.
 
PLO 4 - Develop Proficiency in Quantitative Analysis: Graduates will demonstrate a solid understanding of advanced mathematical and statistical concepts, enabling them to apply techniques such as econometrics, data analysis, and machine learning to interpret complex datasets and derive meaningful insights.