The CUNY Data Science Master’s program prepares the student to understand, manage, analyze, and visualize large data sets. The data sets can be numerical, textual, visual, etc. The program consists of four required 3-credit courses, four elective 3-credit courses, and a 6-credit capstone project, adding up to a total of 30 credits.

The objective of the four required core courses is to provide students with a solid foundation in the fundamentals of Data Science. Each core course introduces data science basics, including data collection, data preparation for efficient storage and extraction, etc., and advanced computing and statistical techniques to solve domain-specific decision-making problems. A large amount of data in different varieties of formats poses challenges to the discovery of new knowledge. Students will learn basic and advanced techniques from Machine Learning, Data Mining, Big Data Analytics, and Data Visualization to uncover the patterns, structure, trends, or relationships inherent in the data. Each course will emphasize the data challenges and decision challenges every organization faces.

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Data Science

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