New York University, MS Data Science

The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science. Students of Data Science are given the right education to perform these tasks and become marketable after the course. A new discipline has emerged to address the need for professionals and researchers to deal with the “data tidal wave.” Its object is to provide the underlying theory and methods of the data revolution and that is “data science,” and New York University have created the world’s first and only MS degree program devoted to it. The curriculum is 36 credits, half of which are required courses and half of which are electives. One of the key features of the MS in Data Science curriculum is a capstone project that makes the theoretical knowledge that students gain in the program operational in realistic settings. During the project, students will go through the entire process of solving a real-world problem: from collecting and processing real-world data, to designing the best method to solve the problem, and finally, to implementing a solution. The problems and datasets that the students will engage with will come from real-world settings identical to what they might encounter in industry, academia, or government. The MSDS also offers two ways to structure the graduate program that give students the opportunity to pursue a specialization. Students in the Data Science track will follow the standard curriculum, which consists of 6 required courses and 6 electives. Students may also enroll in tracks where specializations are formalized. In addition to the required courses, students will have to fulfill track requirements as part of their electives. The track descriptions are listed below. Upon completing the track requirements, in addition to the MSDS degree, the student will receive a certificate from the Center for Data Science.