Data Science and Analytics MS

Data Science and Analytics MS

# Description

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.

# Theme

2022-2023 Topic: Use "College/University Data" to review and analyze how various institutions stack up in comparison to each other. Analyze the quantitative, qualitative, and geospatial data to provide additional insights on institutions based on one or more metric.

Careers Associated
  • Data Scientist

  • Data Analyst

  • Actuary

  • Economist

  • Epidemiologist

  • Forensic Accountant

  • Market Researcher

  • Meteorologist

  • Operations Research Analyst

  • Quality Engineer

# Oklahoma Eligibility

Entries are limited to three (3) teams of two to three (2-3) individuals per chapter.

# Coordinators

The people listed below are familiar with the event and available to give guidance. Please email them if you have questions.

Tara Royal

Event Manager