Sobre este curso

University Of Bath
  • Data de início

    2020 - 2021
  • Fees

    £0
  • Study mode

    Full-Time
  • Ucas Code

  • Campus

    University Of Bath
  • Qualification

    Master of Science
Sumário

O melhor curso na melhor universidade para você

Data science is increasingly important to the global economy and is influencing scientific progress across numerous fields. This course will provide you with the tools to become an industry expert with a strong mathematical foundation. Youâ??ll learn strong statistical foundations of universal relevance as well as gain expertise in statistics and probabilistic modelling, including the design, collection, analysis and presentation of data. Youâ??ll also study machine learning techniques and software technologies central to putting this knowledge into practice, addressing the challenges of small and large data sets. This course is designed for graduates who have limited experience of statistics and would like to develop their knowledge in this area. The first semester will give you the foundation level statistical knowledge and general programming skills required of data scientists. The second semester is focused on statistics, and will give you the skills and knowledge to challenge real world data using more advanced analytical techniques. After graduation youâ??ll be well placed to progress into a wide variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You'll also have acquired the essential foundation for further postgraduate study and research within related fields. Optional placement year This course gives you the option of extending your course by a year to go on a placement. Going on placement gives you the opportunity to apply your skills and knowledge to a year working in industry. Youâ??ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. We have links with some of the industryâ??s leading companies.

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