Data Science and Analytics MS
Data science is a broad term for implementing a variety of methods to find connections between data to gain insightful knowledge about a particular issue. Data Analytics is an even more focused way of sorting through collected data to make predictions.
Participants conduct research on an annual theme or topic, document their research in a supporting portfolio, and create a display. Semifinalist teams participate in a timed, on-site challenge in which they must review specific data sets, provide insights, make predictions, and present their findings.
Problem Challenge: Use Google trends Analysis to review and analyze the emerging technology trends (biometrics, cybersecurity, data science, or quantum computing). Analyze keyword(s) using demographic/geospatial, time series, and related query data. If possible, predict the emerging technology trends over the next five years.
Entries are limited to three (3) teams of two to three (2-3) individuals per chapter.
The people listed below are familiar with this event and available to give guidance. Please email them if you have questions.
Operations Research Analyst