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DS 300Privacy and Security for Data Sciences

3 credits · Data Sciences · Penn State

This course provides an overview about data privacy and security implications arising in the context of data analytics, as well as the techniques and processes for managing privacy and security of large-scale structured and unstructured data sources. Concepts are taught in reference to a variety of data types and application areas. Students will learn design principles to enhance privacy and security in data science practice.

Before you enroll

Prerequisites

From the catalog: “C or better in ( DS 200 or STAT 200 ) and DS 220 and ( IST 230 or CMPSC 360 or MATH 311W )”

Where it fits

Where it sits in degree plans

Suggested plans most often put it in Year 3 · Fall (3 programs).

Required in (1)

  • Social Data Analytics, B.S.
What it opens up

Courses that list DS 300 as a prerequisite (1)