imageplaceholder
header-banner
University of York logo

University of York

Sort:Most info
MA Applied Ethics and Governance of Data Privacy
  • timer iconFull Time
  • Combine abstract concepts of ethics and rights with practical approaches to managing and solving problems of data privacy.; At York, you'll be taught by academics who are active in their fields and
    MSc Data Science (Psychology)
  • timer iconFull Time
  • Data science is an increasingly attractive career destination for graduates, offering lucrative and fulfilling employment opportunities in a variety of sectors. The purpose of this course is to
    MSc Bioinformatics with Bioenterprise
  • timer iconFull Time
  • Bioinformatics is where biology meets data science, using computational tools to unlock insights from complex biological data. From genomics and imaging to environmental monitoring, this course
    MSc Cyber Security
  • timer iconFull Time
  • Security of our systems is one of the most challenging topics of our time. There is an international consensus that in order to respond to the number and sophistication of threats that we face, the
    MSc Data Science
  • timer iconFull Time
  • This course produces computational and mathematical engineers with a focused specialism in data science, equipped to make significant contributions to their career field and society as a whole.; The
    MSc Data Science (Scientific)
  • timer iconFull Time
  • Data science skills are now in huge demand across every field of science from particle physics to ecology, from drug design to climate change. This course will equip you with the skills needed to
    MSc Data Science (Artificial Intelligence and Statistics)
  • timer iconFull Time
  • This course produces data analysts with a focused specialism in data science, underpinned by formal training in advanced statistics, machine learning and artificial intelligence. As a graduate of
    MSc Bioinformatics
  • timer iconFull Time
  • Bioinformatics is an interdisciplinary field that applies and develops computational methods to extract and report on insights from biological data. It includes importing, tidying, visualising,