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
Degree Requirements
| Degree Requirements | ||
| CS 5010 | Programming Data Structures and Algorithms | 3.0 |
| ECON 5540 | Introduction to Econometrics and Data Analysis | 1.5 |
| ECON 5548 | Mathematical Economics | 1.5 |
| ECON 5550 | Econometrics | 3.0 |
| ECON 6610 | Microeconomics | 3.0 |
| ECON 6614 | Macroeconomics | 3.0 |
| IS 5310 | Introduction to Data Science | 3.0 |
| IS 5320 | Principles of Data Analysis | 3.0 |
| IS 5330 | Applied Machine Learning | 3.0 |
| Capstone Course | ||
| ECON 7700 | Economics Seminar | 3.0 |
| 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 1 | 3.0 | |
| Total Credits | 30.0 | |
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With advisor approval students may choose an 8000-level course
