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Jul 03, 2025
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2024-2025 Undergraduate Hill Book
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MGT 315 - Data Privacy and Equity1 Credit
Offered Spring
With access to supplementary datasets and increased computational power, it is increasingly difficult to prevent re-identification of individuals when releasing data and statistics beyond your organization. This course will provide an overview of key concepts in current data privacy methodology, focusing on the generation of synthetic data and the application of differentially private methods as well as the equity considerations. Through analyzing case studies and exercises, students will learn how to apply data privacy techniques and assess the disclosure risk and data utility associated with the privacy-persevered outputs. Students will be expected to know the basics of R programming.
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