Data Science (Artificial Intelligence and Statistics)
University of York · England · MSC-DATA-SCIENCE-AI-STATISTICS
Data Science (Artificial Intelligence and Statistics) is a Postgraduate taught degree at University of York, England, typically 1 year of full-time study. It covers areas like statistical computing, statistical learning, predictive analytics, data analysis, machine learning, data structures. The summary below is compiled from public course information — approximate, not official.
University of York
Postgraduate taught
1 year
£13,900
What you'll study in Data Science (Artificial Intelligence and Statistics)
Example subjects: Statistical MSc Dissertation, Advanced Regression and Multivariate Analysis, Survival Analysis and Generalised Linear Models, Computational Finance with Python, Time Series.
Frequently asked questions
How long is Data Science (Artificial Intelligence and Statistics)?
Data Science (Artificial Intelligence and Statistics) at University of York is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Data Science (Artificial Intelligence and Statistics)?
Data Science (Artificial Intelligence and Statistics) covers areas like predictive-analytics, statistical-learning, data-analysis, statistical-computing, applied-statistics, computational-mathematics, financial-mathematics, computational-biology.
How much does Data Science (Artificial Intelligence and Statistics) cost?
Indicative domestic fees for Data Science (Artificial Intelligence and Statistics) are around £13,900 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Data Science (Artificial Intelligence and Statistics)?
Data Science (Artificial Intelligence and Statistics) is offered by University of York, England.
Considering Data Science (Artificial Intelligence and Statistics)?
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Sources: University of York public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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