The Master of Science in Computer and Information Science offers students three options, which allow the student to select a technology, analytical or a practical and applied focus for the application of computing technologies. These consist of Information Technology, Data Science and Software Engineering. Each option consists of 30 credits of graduate work beyond the foundations series, and each specifies its own foundations series courses. The specific courses of study for each option is described below.<br><br>Course of Study for Data Science (DS)<br>Data Science is a dynamic and fast growing field at the interface of Statistics and Computer Science. The emergence of massive datasets containing millions or even billions of observations provides the primary impetus for the field. Such datasets arise, for instance, in large-scale retailing, telecommunications, astronomy, medical domain, volumes of documents and social media. The MS-CIS with Data Science option prepares students to understand major practice areas in data science. They can collect, organize and manage data, identify patterns in data using visualization, statistical analysis and data mining, develop actionable insight based on big data, communicate data analysis and findings to people across a broad range of industries. They meet the demand of careers including Data Engineer, Data Architect, Statistical Programmer, and Big Data Analysts.<br><br>In addition to the overall program outcomes, at the conclusion of the program of study, the DS-option graduate will be able to:<br><br>Identify patterns in data using data mining techniques.<br>Manage large-scale data and the practical issues surrounding how the data is stored, processed, and analyzed in the cloud<br>Extract knowledge from large amounts of text data