MS Data Science

at Hofstra University

The program prepares students for advanced careers in data engineering, quantitative research, machine learning, and data analytics. The curriculum includes the mathematical and algorithmic knowledge and skills used in different aspects of data science such as data science, data mining and visualization, statistical analysis and inference, and machine learning. The program provides a strong foundation in mathematical methods used in data science, including linear algebra, statistical inference, and optimization, as well as a wide range of applied topics in machine learning, data science, and data mining. Students will develop strong data analytics and computational skills. The program consists of 30 semester hours, out of which 18 semester hours are required courses in both math and applied data science courses and either 6 semester hours in elective courses with a master thesis for 6 semester hours or 9 semester hours in elective courses with a capstone project for 3 semester hours.  The program can be finished in one academic year for full-time students or two academic years for part-time students.