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DS 402Emerging Trends in the Data Sciences

3 credits · Data Sciences · Penn State

This course exposes and trains students in the analysis of emerging trends in data sciences. DS 402 Emerging Trends in the Data Sciences (3) Data sciences is a rapidly evolving field affected by innovations in a variety of technical domains, including data generation, capture, storage, and processing. Staying abreast of new developments can be a daunting task but is critical for success. This course provides an in-depth analysis of a particular innovation, but starts with developing generally applicable skills for analyzing new technologies. In particular, the analytic framework considers the innovation's technical aspects and potential for widespread adoption, but also its social, organizational and policy implications. As a course focused on a new data sciences technology or analytic innovation, it is repeatable. As such, the course enables students to be exposed to the cutting edge of data sciences, supporting a forward looking view of the field for students across the university.

Before you enroll

Prerequisites

You need:

Where it fits

Where it sits in degree plans

Suggested plans most often put it in Year 4 · Spring (2 programs).

One of the options in (1)

  • Social Data Analytics, B.S.