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Physics with Data Science MSci

Queen Mary University of London · England · U900211

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Physics with Data Science MSci at Queen Mary University of London lists 44 subjects. Subjects include Nanomaterials, Computer Graphics and Risk and Decision-Making for Data Science and AI. The topics that come up most are physics, applied physics and physical chemistry (17, 16 and 11 subjects).

Compiled from public course information: approximate, not official.

University
Queen Mary University of London

What you'll study in Physics with Data Science MSci

physicsapplied-physicsphysical-chemistryastrophysicsquantum-mechanicsastronomycosmologycomputational-mathematicsmachine-learningstatistical-computingmathematicsmathematical-economicschemical-scienceselectromagnetism

Example subjects: Nanomaterials, Computer Graphics, Risk and Decision-Making for Data Science and AI, Introduction to Computer Vision, Applied Statistics, Machine Learning for Visual Data Analysis, Time Series, Scientific Measurement, Mathematical Techniques I, Mathematical Techniques 2, Electric and Magnetic Fields, Professional Skills for Scientists.

Frequently asked questions

What will I study in Physics with Data Science MSci?

Physics with Data Science MSci covers areas like physics, applied-physics, physical-chemistry, astrophysics, quantum-mechanics, astronomy, cosmology, computational-mathematics.

Who offers Physics with Data Science MSci?

Physics with Data Science MSci is offered by Queen Mary University of London, England.

Considering Physics with Data Science MSci?

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Sources: Queen Mary University of London official course page. Information is compiled and summarised, not copied verbatim, and is approximate; always confirm with the original source.

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