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MS in Data Science

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Curriculum - NYU Center for Data Science. The curriculum for the MS in Data Science (MSDS) degree is 36 credits.

Curriculum - NYU Center for Data Science

One of the key features of the MS in Data Science curriculum is a capstone project that makes the theoretical knowledge you gain in the program operational in realistic settings. During the project, you 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 you’ll engage with will come from real-world settings identical to what you might encounter in industry, academia, or government. Data Science Computer Science. Turn your Programming Skills into Effective Big Data Discovery Tools.

Data Science Computer Science

The online Master of Science in Data Science in Computer Science concentration at Lewis University is designed to give you an edge when it comes to understanding and managing big data across a variety of computer platforms. During the duration of the program, students will be responsible for designing and developing computing systems that enable processing, interpreting, and presenting large data sets in an organized fashion. The curriculum is designed and delivered by Lewis’s Department of Mathematics and Computer Science. MS in Applied Data Science Curriculum. Course Descriptions. Johns Hopkins University Engineering for Professionals. Master of Science in Data Science - NYU Center for Data Science. Educating the next generation of data scientists 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.

Master of Science in Data Science - NYU Center for Data Science

The degree focuses on the development of new methods for data science. We live in the “Age of the Petabyte,” soon to become “The Age of the Exabyte.” Our networked world is generating a deluge of data that no human, or group of humans, can process fast enough.