Applied Mathematics and Statistics, Master of Science in Engineering
Johns Hopkins University · MD · APPLIED-MATHEMATICS-STATISTICS--1q9s5t
Applied Mathematics and Statistics, Master of Science in Engineering is a Postgraduate degree at Johns Hopkins University, MD. It covers areas like computational mathematics, mathematical economics, statistical computing, statistical learning, machine learning, stochastic processes. The summary below is compiled from public course information — approximate, not official.
Johns Hopkins University
Postgraduate
What you'll study in Applied Mathematics and Statistics, Master of Science in Engineering
Example subjects: Mathematical and Computational Foundations of Data Science, Mathematical Modeling and Consulting, Research and Design in Applied Mathematics: Data Mining, Applied Statistics & Data Analysis I, Applied Statistics and Data Analysis II, Introduction to Stochastic Processes, Stochastic Processes and Applications to Finance I, Stochastic Processes and Applications to Finance II, Bayesian Statistics, Monte Carlo Methods, Elements of Statistical Learning, Bayesian Statistics for the Physical Sciences.
Frequently asked questions
What will I study in Applied Mathematics and Statistics, Master of Science in Engineering?
Applied Mathematics and Statistics, Master of Science in Engineering covers areas like statistical-computing, computational-mathematics, mathematical-economics, statistical-learning, applied-statistics, machine-learning, data-mining, data-science.
Who offers Applied Mathematics and Statistics, Master of Science in Engineering?
Applied Mathematics and Statistics, Master of Science in Engineering is offered by Johns Hopkins University, MD.
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Sources: Johns Hopkins 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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