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

Data Analytics

Data analytics is widely embraced by companies to help executives in decision making. It allows companies to more accurately see pictures of what the business is doing and aims at enabling rich insights and better decision making. Data analytics encompasses a wide range of technologies to support analyzing business data, transforming information, and generating intelligence. Technologies play important roles in the data analytics process and form the foundation of its architecture.

More and more companies need knowledgeable people to perform analysis and gain the company’s success through analytically focused strategies. There is a constant demand for data analysis and information analysts who can understand databases, query data, perform activities in analytical processing, statistical analysis, forecasting, and data mining. The program is created to meet this demand, helping students understand underlying concepts and methodologies that are used in the data analytics process. Students in the program will be armed with various technologies that support effective business decision making in today’s increasingly competitive environment.


Students in the program will study concepts and principles in data analytics and the underlying building technologies. 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. The skill set learned from the program will enable students to take challenges in the process of transforming data to meaningful information and identifying new opportunities for the organization. This will better position them towards professional accomplishment in their lifelong learning process.


Learning Outcomes

Upon completion of the program, students will be able to:

  • Students will be able to demonstrate critical thinking skills in the field of data analytics.
  • Students will be able to demonstrate the ability to solve problems related to the program content.
  • Students will be able to demonstrate an understanding of the concepts and principles of software systems.
  • Students will be able to analyze, design, and document a system component using appropriate business intelligence techniques and models.
  • Students will be able to demonstrate the ability to incorporate various data analytics elements.
  • Students will be able to demonstrate an understanding of fundamental principles of data analytics systems and technologies.

Analytics AcademCore 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, and professional writing and presentation.

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, much higher than average.

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