Data Science and Engineering

Data Science and Engineering Relevant and in Demand The private, public, and research sectors rely heavily on data science and engineering for analyzing and translating massive, complex, heterogeneous, and dynamic data into manageable forms, creating new information, and providing insights in order to better understand phenomena and guide decision-making. The advanced knowledge gained through graduate-level data science