信息硕士-以人为本的数据科学

根据多项全球调查，美国T信息学院被评为世界领先的信息和知识管理学校。它是iSchool的一级会员，iSchool是国际大学协会，领导和推广全球信息领域的计划。信息学院善于培训专业从业人员和研究人员，提供各种学科的卓越课程。在这项创新的计划中，我们将全面探索信息的呼吸，深度和丰富性。每个人都有七个选择，一个是专业化，一个普通程序选项，一个论文选项和一个新的合作选项。<br> <br>该创新程序探索了信息的广度，深度和丰富性。 。每个人都可以选择七个专业，专业化，仅课程作业，合作和论文选修。MI毕业生是下一代
The Master of Information (MI) degree program allows students to explore information and knowledge management in all its breadth, depth and richness. There is a choice for everyone among five concentrations: Library & Information Science, Archives & Records Management, Human Centred Data Science, User Experience Design, Information Systems & Design. The Faculty of Information also provides a combined degree program option whereby students may register concurrently in the Master of Information and Master of Museum Studies programs. This innovative multi-disciplinary program explores information and knowledge management in all its breadth, depth and richness. MI graduates are the next generation of valued professionals, able to lead the progression of information design, organization, storage, access and retrieval, dissemination, preservation, conservation and management. With a deep understanding of the needs of society, career opportunities are found across all industries and sectors.<br>The Human Centered Data Science (HCDS) concentration in the MI will provide students not only with the skills and knowledge to deal with complex, large-scale data sets and information systems but they will also gain expertise in user-centred visualization, ethics and policy. Students in this concentration will be able to differentiate themselves from others in comparative programs since in all contents of the new concentration, from the design to the implementation of their solutions, they will be able to assess the social implications of any solution. While most data science programs that are being developed focus more on providing computational and statistical education, this concentration will integrate a human centered and societal focus throughout. Students will understand the fundamental concepts, theories, practices and different horizons in which data is retrieved and manipulated while they will apply new technological developments and realize the impact such developments may have on society.