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Advanced Computer Science with Industry MSc
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  • This MSc is designed for students who wish to supplement their education in a specific set of advanced topics and cutting-edge technologies that they require for their professional lives, or to
    Advanced Computer Science MSc
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  • This MSc is designed for students who wish to supplement their education in a specific set of advanced topics and cutting-edge technologies that they require for their professional lives, or to
    Bioinformatics MSc
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  • Bioinformatics is a major growth area in research and industry; hence qualified bioinformaticians are in high demand. The MSc in Bioinformatics is a one-year full-time course for biological sciences
    Population Health Data Science MSc
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  • This postgraduate degree will build on your existing quantitative knowledge to give you the expertise in statistical analysis, computer science and health research that you will need to become a data
    Data Science (Satellite Data) MSc, PGDip
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  • This interdisciplinary MSc in Data Science (Satellite Data) trains students in Data Science with an emphasis on the development and use of satellite observations of the Earth and its atmosphere for
    Data Science (Geospatial) MSc
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  • The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial
    Actuarial Science with Data Analytics MSc
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  • This programme is for you if you want to kick-start your actuarial career and gain the skills to apply data analytics to solve real business problems. Whether you have yet to start the actuarial
    Advanced Software Engineering with Industry MSc
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  • Some of the most pressing business challenges can be solved by smartly-designed software. By studying advanced software methods and techniques, you’ll be in high demand across most major industries.
    Data Science (Geospatial) with Industry MSc
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  • The interdisciplinary MSc in Data Science (Geospatial) trains students in Data Science with an emphasis on using the unique characteristics of spatial data (location, distance and spatial