Data Analytics – Understanding

The swift transmission of COVID-19 has generated an immense amount of big data. Professionals across all areas of healthcare are tracking the virus and the progression of the illness. Researchers are increasingly relying on artificial intelligence, machine learning, mathematical modeling, and natural language processing to achieve deeper insights into the condition.

To gather more knowledge about the virus and its potential lasting impacts, the University of Utah has committed $1.3 million toward seed grants for COVID-19 studies. The Office of the Vice President for Research joined forces with the Immunology, Inflammation, and Infectious Disease (3i) Initiative. These grants will support 56 multidisciplinary projects across campus investigating various aspects of the pandemic.

Data analytics serves as the foundation for this investigative work, covering an extensive scope. What consequences will COVID-19 have on the economy, environment, physical health, psychology, and society? The most urgent priorities have been identifying infected individuals, discovering treatments for severe cases, and slowing the rate of transmission.

In the urgent pursuit of improved diagnostic methods, therapies, and a vaccine, data is being processed using advanced techniques. Several notable examples include:

Machine Learning Tools Predict Impact of Quarantine of COVID-19

The Pentagon Will Use AI to Predict Panic Buying, COVID-19 Hotspots

Cleveland Clinic and SAS Share COVID-19 Predictive Models to Help Hospitals Plan For Current and Future Needs

A Master of Science in Business Analytics equips you with the competencies required to join the fast-expanding industry of analytics and data science specialists. There has never been a more opportune or thrilling moment to enter this advanced discipline or to begin your studies at the David Eccles School of Business.