Scientific Computing (MS)
New York University · NY · SCIENTIFIC-COMPUTING-MS
Scientific Computing (MS) at New York University lists 16 subjects. Subjects include Fundamental Algorithms, Programming Languages and Computer Graphics. The topics that come up most are mathematical economics, computational mathematics and data mining (6, 4 and 4 subjects).
Compiled from public course information: approximate, not official.
New York University
Postgraduate
What you'll study in Scientific Computing (MS)
Example subjects: Fundamental Algorithms, Programming Languages, Computer Graphics, Machine Learning, Foundations of Machine Learning, Introduction to Data Science, Machine Learning, Big Data, Multivariable Analysis, Numerical Methods I, Numerical Methods II, Introduction to Partial Differential Equations.
Frequently asked questions
What will I study in Scientific Computing (MS)?
Scientific Computing (MS) covers areas like mathematical-economics, computational-mathematics, data-mining, statistical-computing, statistical-learning, machine-learning, deep-learning, applied-mathematics.
Who offers Scientific Computing (MS)?
Scientific Computing (MS) is offered by New York University, NY.
Considering Scientific Computing (MS)?
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Sources: New York University official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.
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