Data Analytics and Social Sciences

BAAS Concentration in Data Analytics and Social Sciences
Data Analytics and Social Sciences

About the concentration in Data Analytics and Social Sciences

Combine the analytical tools of data science with an applied understanding of the social sciences. The Data Analytics and Social Sciences concentration offers the opportunity to integrate data analytics with insight into historical, political, economic, or behavioral contexts. In this degree concentration, you develop statistical and data programming skills to address real-world problems, learn to make and persuasively communicate data-driven decisions, and customize your studies with courses in global and area studies, organizational anthropology, leadership, and other social sciences.

The concentration in Data Analytics and Social Sciences prepares you to:

  • Implement and interpret basic regression models
  • Understand advanced predictive modeling and machine learning
  • Implement and analyze surveys
  • Design experiments and A/B tests to test solutions and address problems
  • Develop skills in statistical programming and data analysis in R
  • Apply skills and knowledge to solve real-world problems
  • Understand how to make complex information accessible to audiences through effective visualization
  • Develop effective rhetorical strategies and skills to persuade specific audiences through visual, written and multimedia communication
  • Demonstrate knowledge of analytical tools used in social sciences
  • Learn conceptual frameworks to enable you to make connections between courses in different fields


Students in the Bachelor of Applied Arts and Sciences degree will choose a concentration to tailor their undergraduate education to specific personal and professional goals. Courses within each concentration may be taken in any order unless prerequisites are specified.

Students must complete foundational courses for the Bachelor of Applied Arts and Sciences degree. In addition, students in this concentration must complete the following—a total of 12 courses (12 c.u.*):

  • Data Analytics course block (4 courses)
  • 2 specified Professional Writing courses
  • 6 additional courses in the social sciences with input from an academic advisor

Course options

Data Analytics course block

  • Introduction to Data Analytics
  • Intermediate Data Analytics
  • Introduction to Statistical Methods
  • Advanced Topics in Data Analytics

Professional Writing courses

  • Writing with Numbers
  • Designing Effective Presentations

Social Sciences course block

  • A History of Digital Culture
  • Intercultural Communication
  • Introduction to Global Studies
  • Globalization: Social, Economic, and Political Aspects
  • Leadership Lessons from the Social Sciences
  • The Middle East and the West
  • Oil and Politics in the Middle East
  • Introduction to Team Culture
  • Virtual Collaboration
  • Anthropology of Organizations
  • Building Influence Across Cultural Boundaries in Organizations
  • Addressing Contemporary Social Issues

Courses are subject to change.

*Academic credit is defined by the University of Pennsylvania as a course unit (c.u.). A course unit (c.u.) is a general measure of academic work over a period of time, typically a term (semester or summer). A c.u. (or a fraction of a c.u.) represents different types of academic work across different types of academic programs and is the basic unit of progress toward a degree. One c.u. is usually converted to a four-semester-hour course.

Careers related to Data Analytics and Social Sciences

  • Database administrator
  • Market research analyst
  • Marketing specialist
  • Survey researcher
  • Operations research analyst
  • General and operations manager
  • Social and community service manager
  • Statistical assistant

Course Registration

Fall 2021 registration is now open

Explore courses >