Engineering Data Analytics & Statistics, MSDAS (ESE)
Washington University in St. Louis · MO · ESE-ENGINEERING-DATA-ANALYTICS--y4tpmb
Engineering Data Analytics & Statistics, MSDAS (ESE) is a degree at Washington University in St. Louis, MO. It covers areas like statistical learning, statistical computing, machine learning, mathematical economics, applied statistics, data mining. The summary below is compiled from public course information — approximate, not official.
Washington University in St. Louis
US$65,790
What you'll study in Engineering Data Analytics & Statistics, MSDAS (ESE)
Example subjects: Introduction to Artificial Intelligence, Introduction to Machine Learning, Cloud Computing With Big Data Applications, Data Mining, Bayesian Methods in Machine Learning, Machine Learning, Optimization, Introduction to Machine Learning and Pattern Classification, Statistical Methods for Data Analysis With Applications to Financial Engineering, Financial Mathematics, Mathematics of Modern Engineering I, Large-Scale Optimization for Data Science.
Frequently asked questions
What will I study in Engineering Data Analytics & Statistics, MSDAS (ESE)?
Engineering Data Analytics & Statistics, MSDAS (ESE) covers areas like statistical-learning, statistical-computing, applied-statistics, machine-learning, data-mining, mathematical-economics, statistics, data-analytics.
How much does Engineering Data Analytics & Statistics, MSDAS (ESE) cost?
Indicative domestic fees for Engineering Data Analytics & Statistics, MSDAS (ESE) are around US$65,790 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Engineering Data Analytics & Statistics, MSDAS (ESE)?
Engineering Data Analytics & Statistics, MSDAS (ESE) is offered by Washington University in St. Louis, MO.
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Sources: Washington University in St. Louis official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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