Analytics & Business Intelligence Degree Program | Webster University | Webster University

Data Analytics

Studies show that there is a constant demand for data analysis and information analysts who can understand database, query data, perform activities in analytical processing, statistical analysis, forecasting, and data mining. In fact, business intelligence is widely embraced by companies to help executives in decision making. More and more companies need knowledgeable people to perform analysis and increase the company's success through analytically focused strategies. That's why Webster University's Data Analytics degree and certificate programs were created.

Points of Distinction

  • Students will be successful in the process of transforming data to meaningful information and identifying new opportunities for businesses.
  • Students will be armed with various technologies that support effective business decision making in today's increasingly competitive environment.
  • Students will experience a broad category of applications and techniques for gathering, storing, analyzing, and providing access to data to help business users perform better decision making.
  • BS in Data Analytics online degree completion is available.

"There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions."
McKinsey Global Institute

Job Outlook

  • Over a half million jobs created in "analytics skills" from 2015 through 2018. (Price Waterhouse Coppers (PWC) report based on Burning Glass data)
  • The Bureau of Labor and Statistics (BLS) forecasts a 19% growth rate for Market Research Analysts through 2024.
  • The BLS forecasts a 30% growth rate for Operations Research Analysts through 2024.

Core Curriculum Topics

Statistics, Programming for analytics (R), Business foundations, Operational database and data warehouse, Data management, Data visualization, Time series forecasting, Predictive analytics, Big data technologies, Social media analytics, Business function specific such as marketing and healthcare analytics, Professional writing and presentation.

Data Analytics Academic Programs

To read about specific program requirements, learning outcomes and how to apply, click on a program from the following list:

Additional Information