Statistics and Data Science, MA, Statistics Concentration
Washington University in St. Louis · MO · STATS-DATA-SCIENCE-STATS-CONC-MA
Statistics and Data Science, MA, Statistics Concentration at Washington University in St. Louis lists 38 subjects. Subjects include Human Genetic Analysis, Population Genetics and Practical Bioinformatics. The topics that come up most are statistical learning, mathematical economics and statistical computing (14, 14 and 12 subjects).
Compiled from public course information: approximate, not official.
Washington University in St. Louis
Postgraduate
US$65,790
What you'll study in Statistics and Data Science, MA, Statistics Concentration
Example subjects: Human Genetic Analysis, Population Genetics, Practical Bioinformatics, Deep Reinforcement Learning, Data Mining, Bayesian Methods in Machine Learning, Machine Learning, Advanced Machine Learning, Natural Language Processing, Large Language Models, Econometrics, Machine Learning and Data Science in Economics.
Frequently asked questions
What will I study in Statistics and Data Science, MA, Statistics Concentration?
Statistics and Data Science, MA, Statistics Concentration covers areas like statistical-learning, mathematical-economics, statistical-computing, machine-learning, applied-statistics, computational-mathematics, econometrics, statistics.
How much does Statistics and Data Science, MA, Statistics Concentration cost?
Indicative domestic fees for Statistics and Data Science, MA, Statistics Concentration are around US$65,790 (approximate, usually per year). International fees differ: confirm with the university.
Who offers Statistics and Data Science, MA, Statistics Concentration?
Statistics and Data Science, MA, Statistics Concentration is offered by Washington University in St. Louis, MO.
Considering Statistics and Data Science, MA, Statistics Concentration?
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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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