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MSc Data Science with Placement

University of Bath

Data science drives a significant proportion of global economic activity, and is influencing scientific progress across numerous fields. This course provides you with the tools to become an industry expert with a strong mathematical foundation. You'll gain an understanding of the balanced combination of science and technology required for delivering effective data science.

You’ll learn strong statistical foundations of universal relevance and develop specialist knowledge of probabilistic machine learning techniques. You will gain expertise in the software technologies that are central to putting this knowledge into practice, addressing the challenges of small and large data sets.

You’ll learn from a dedicated team of computer scientists who have a wealth of experience from their professional backgrounds. The Placement year giving you the opportunity to gain work experience as part of your degree. Going on placement gives you the opportunity to apply your skills and knowledge during a year working in industry. You’ll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. Placement opportunities can't be guaranteed but you will receive tailored support from our specialist team to help you secure a placement.

After graduation, you’ll be well placed to progress into a variety of careers in data science, from large-scale established commercial enterprises to innovative technology start-ups. You will also have acquired the essential foundation for further postgraduate study and research within related fields. We also offer this course with a placement year, giving you the opportunity to gain work experience as part of your degree.

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Modules

  • Applied data science
  • Statistics for data science
  • Machine learning 1
  • Software technologies for data science
  • Applied data science
  • Machine learning 2
  • Research project preparation
  • Placement year
  • Placement year
  • Placement year
  • Bayesian machine learning
  • Reinforcement learning
  • Requirements

    Listed below are the documents required to apply for this course.