BigData Hadoop Train...
Learn how to transform raw data into meaningful information
Drawing on the School of Information’s strengths in information science and HCI (human–computer interaction), the M.S. in Data Analytics & Visualization prepares students for work across the full lifecycle of data, from collection and storage to analysis and visualization. This degree reflects the growing need for well-rounded data professionals who have strong statistical and technology skills combined with strengths in research, communication, and design.
All students graduate with a digital portfolio that demonstrates their skills in:
- Research—asking complex questions surrounding data and select and apply appropriate research methods to answer them;
- Communication—forming reasonable interpretations of data and communicate them effectively visually and narratively;
- Technology—choosing and employing appropriate technologies for data collection, storage, manipulation, analysis, visualization, dissemination, and preservation, as related to goals, tasks, and users;
- User-Centered Design—identifying relevant users of data and designing intuitive, meaningful, and engaging experiences for them;
- Critical Perspectives—considering the broad impact of data on society and raising critical questions about data, its interpretation and visualization, and the methods by which these are produced.
Apply by January 5 for full consideration for Fall 2018 enrollment