Students in the Data Science Program are expected to achieve the following learning outcomes. These learning outcomes are used both in evaluating students and the undergraduate program. By the time they graduate, majors are expected to:

Frame questions of interest from a variety of disciplines in quantitative terms and identify what data types might be useful in addressing them.
Demonstrate familiarity with the key statistical, mathematical, and computational concepts and use them appropriately to solve quantitative problems.
Appraise the major ethical questions that arise in the collection, analysis, and use of data for decision-making based on quantitative reasoning.
Convey quantitative analysis and technical results to a wide audience, effectively communicating the uncertainty associated with their conclusions, and taking care to assure the reproducibility of results.

Additionally, students in the Bachelors of Arts in Data Science - Social Systems major are expected to:

Integrate traditional theoretical approaches from the social sciences and engineering with modern computational tools to frame, understand and analyze social-scientific problems. Specifically, students will be able to:
5.a) Develop analytical approaches to address unstructured and multifaceted problems.
5.b) Design and employ experimental and quasi-experimental approaches to understand causal effects in the social sciences.
5.c) Implement and apply statistical analyses and machine learning algorithms using modern software engineering principles.
5.d) Draw correct inferences from data with an appreciation for the assumptions and limits of quantitative methods.
Understand frontier research and practice at the intersection of data and social science as it relates to key social, political, and economic issues.

Name	Degree Designation	Description
Data Science (BA)	BA - Bachelor of Arts	No Description Set
Data Science (BS)	BS - Bachelor of Science	No Description Set

Department: Data Science