Other significant challenges include: Data science tools can cover a broad range of specific use cases, including various programming languages like Python and R, data visualization solutions ...

Course titles and offerings are unique to each data science program, but you can expect to take a few standard courses as a data science master’s student. Below we explore some common data ...

The Master of Science in Data Science at CU Boulder is a STEM-designated, interdisciplinary program that provides students with rigorous training in machine learning, AI tools, data analytics, big ...

Graduates of the MS in Data Science program collect, manage and analyze massive, “noisy,” and fast-growing datasets, leading to unique discoveries, insights, and value for a variety of industries, ...

CU Boulder's on-campus Master of Science in Data Science (MS-DS) is ideal for individuals looking for a more traditional learning experience with semester-based courses and in-person instruction. The ...

The interdisciplinary nature of the degree allows students to work with Purdue's well renowned faculty in their fields, and customize the program tailored towards specific areas of data science. Data ...

Entry into the Data Science MS program assumes basic knowledge in statistical and mathematical techniques, computer programming, information systems and databases, and communications, obtained through ...