Master of Science - Data Science
Epinal Way, Loughborough, United Kingdom
96113
Last updated: 16/09/2024
About Master of Science - Data Science
The Master of Science conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.
Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science.
Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), the new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support students' career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis.
This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship. It is suitable for students from industry, including those who come from managerial, leadership and information administration posts and who wish to upskill in order to enter the world of data science. The programme also appeals to science graduates and those from the social sciences (eg criminology, economics, public health and psychology), life sciences (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who wish to learn how to analyse data or who wish to understand the world of data science from a business perspective.
The kinds of positions Loughborough University would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists and statisticians.
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