Computer Science, Economics, and Data Science (Course 6-14P)
Massachusetts Institute of Technology · MA · MASTER-COMPUTER-SCIENCE-ECONOMI-v364jj
Computer Science, Economics, and Data Science (Course 6-14P) is a degree at Massachusetts Institute of Technology, MA. It covers areas like computational mathematics, mathematical economics, statistical learning, engineering mathematics, machine learning, algorithms. The summary below is compiled from public course information — approximate, not official.
Massachusetts Institute of Technology
US$62,396
What you'll study in Computer Science, Economics, and Data Science (Course 6-14P)
Example subjects: Microeconomic Theory I, Microeconomic Theory II, Psychology and Economics, Networks, Strategy and Information, Industrial Organization: Competitive Strategy and Public Policy, Organizational Economics, Economics of Digitization, Statistical Method in Economics, Estimation and Inference for Linear Causal and Structural Models, Applied Econometrics, Inference on Causal and Structural Parameters Using ML and AI.
Frequently asked questions
What will I study in Computer Science, Economics, and Data Science (Course 6-14P)?
Computer Science, Economics, and Data Science (Course 6-14P) covers areas like mathematical-economics, computational-mathematics, statistical-learning, engineering-mathematics, economics, quantitative-economics, economic-history, machine-learning.
How much does Computer Science, Economics, and Data Science (Course 6-14P) cost?
Indicative domestic fees for Computer Science, Economics, and Data Science (Course 6-14P) are around US$62,396 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Computer Science, Economics, and Data Science (Course 6-14P)?
Computer Science, Economics, and Data Science (Course 6-14P) is offered by Massachusetts Institute of Technology, MA.
Considering Computer Science, Economics, and Data Science (Course 6-14P)?
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Sources: Massachusetts Institute of Technology official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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