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Data Science, Technology and Innovation (ICL) (MSc) - 6 Years

University of Edinburgh · Scotland · PTMSCDSTIN4UHTM

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Data Science, Technology and Innovation (ICL) (MSc) - 6 Years at University of Edinburgh lists 34 subjects. Subjects include Leading Technology and Innovation in Organisations, Practical Introduction to High Performance Computing and Message-Passing Programming. The topics that come up most are data science, medical imaging and image processing (7, 6 and 6 subjects).

Compiled from public course information: approximate, not official.

University
University of Edinburgh
Level
Postgraduate taught

What you'll study in Data Science, Technology and Innovation (ICL) (MSc) - 6 Years

data-sciencemedical-imagingimage-processingdata-analyticsdata-miningcomputer-visionhealth-research-methodspythonapplied-statisticsprogrammingstatistical-computingdigital-healthsignal-processingresearch-projects

Example subjects: Leading Technology and Innovation in Organisations, Practical Introduction to High Performance Computing, Message-Passing Programming, Threaded Programming, Practical Introduction to Data Science, Project Preparation (DSTI), Software Development, Programming Skills, Dissertation (DSTI - EPCC), Data security and protection in health and social care, Dissertation (Data science for health and social care), Data Ethics in Health and Social Care.

Frequently asked questions

What will I study in Data Science, Technology and Innovation (ICL) (MSc) - 6 Years?

Data Science, Technology and Innovation (ICL) (MSc) - 6 Years covers areas like data-science, medical-imaging, image-processing, data-analytics, data-mining, computer-vision, health-research-methods, python.

Who offers Data Science, Technology and Innovation (ICL) (MSc) - 6 Years?

Data Science, Technology and Innovation (ICL) (MSc) - 6 Years is offered by University of Edinburgh, Scotland.

Considering Data Science, Technology and Innovation (ICL) (MSc) - 6 Years?

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

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