Machine Learning, Mathematics & Statistics [BSc/MSci]
University of Glasgow · Scotland · MACHINE-LEARNING-MATHEMATICS-STATISTICS
Machine Learning, Mathematics & Statistics [BSc/MSci] is a Postgraduate taught degree at University of Glasgow, Scotland, typically 5 years of full-time study. It covers areas like statistical computing, statistical learning, applied statistics, statistics, mathematical economics, computational mathematics. The summary below is compiled from public course information — approximate, not official.
University of Glasgow
Postgraduate taught
5 years
What you'll study in Machine Learning, Mathematics & Statistics [BSc/MSci]
Example subjects: MATHEMATICS 1, MATHEMATICS 2A: MULTIVARIABLE CALCULUS, MATHEMATICS 2B: LINEAR ALGEBRA, STATISTICS 1Y: INTRODUCTION TO STATISTICS: LEARNING FROM DATA, STATISTICS 1Z: DATA MODELLING IN ACTION, STATISTICS 2R: PROBABILITY, STATISTICS 2S: STATISTICAL METHODS, MODELS AND COMPUTING 1, STATISTICS 2X: PROBABILITY II, STATISTICS 2Y: STATISTICAL METHODS, MODELS AND COMPUTING 2, INFERENCE 3, LINEAR MODELS 3, BAYESIAN STATISTICS.
Frequently asked questions
How long is Machine Learning, Mathematics & Statistics [BSc/MSci]?
Machine Learning, Mathematics & Statistics [BSc/MSci] at University of Glasgow is typically 5 years of full-time study. Approximate — confirm with the university.
What will I study in Machine Learning, Mathematics & Statistics [BSc/MSci]?
Machine Learning, Mathematics & Statistics [BSc/MSci] covers areas like statistical-computing, applied-statistics, statistical-learning, statistics, mathematical-economics, linear-algebra, computational-mathematics, probability.
Who offers Machine Learning, Mathematics & Statistics [BSc/MSci]?
Machine Learning, Mathematics & Statistics [BSc/MSci] is offered by University of Glasgow, Scotland.
Considering Machine Learning, Mathematics & Statistics [BSc/MSci]?
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Sources: University of Glasgow official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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