The M.S. in Data Science prepares students for related careers that involve the application of computational and statistical techniques that are becoming more vital to industry and research. This is accomplished through coursework in topics such as database management systems, data mining and machine learning algorithms, data visualization, statistics, text analytics, and big data. Graduates of the Data Science program will obtain a variety of skills required to analyze large datasets and to develop modeling solutions to support decision making. They will also develop a specialization in distributed Big Data, marketing analytics or healthcare analytics. This M.S. degree is a STEM designated program. Data Science applies powerful statistical and computational techniques to large data sets in order to generate useful information, identify patterns and trends, and build predictive models. Applications of these techniques are now transforming decision-making throughout business, finance, marketing, government, healthcare, and science. The demand for professionals knowledgeable in this area is projected to grow rapidly in the coming years.