Master of Science in Applied Data Science - Crisis Informatics

Medical results, institutional knowledge, consumer buying habits&mdash,where there's data, there's the potential for knowledge. Data science can optimize the delivery of healthcare or improve a company's marketing strategy.

Learn to manage massive stores of data in the cloud and the data life cycle with our Master of Science in Applied Data Science.

You'll gain new insights into big data decision-making, so when organizations are awash in data, you can be their lifeline by channeling information and converting it into actionable knowledge that adds value.

The first of its kind in the nation, the IU School of Informatics and Computing at IUPUI is a pioneer in the fields of informatics and data science. Key ties to industry, research centers, and employers in Indianapolis and across the country distinguish our school and its programs. Careers Services can arrange an internship in Central Indiana and beyond.

You'll learn methods of data mining, to transform large datasets into usable knowledge, and how to represent information visually. The master's in data science provides students with core competencies in the latest methods of analysis, data management, and infrastructure and high-throughput data processing and storage.

Our curriculum includes instruction in client-server application development and the professional and ethical management of data science projects.

In a crisis, information is a critical resource. It’s what drives the response—analyzing scope, identifying resources, and deploying responders. Informatics informs the planning and preparedness needed to reduce the impact of a flood, tornado, or other disaster.

To anticipate, mitigate, and manage a crisis, you need data. With the right skills, you can use that data to provide useful information and potentially life-saving knowledge.

Our trailblazing program is the first to offer a Master of Science in Applied Data Science with a specialization in Crisis Informatics. You’ll learn methods of data mining, how to transform large data sets into usable knowledge, and ways to represent information visually.

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