This degree program provides students with the knowledge and essential skills needed to respond to the new challenges characteristic of the data intensive decision-making environments in the world today.
The program prepares students with the skills to handle large scale data, and develop and utilize statistical and analytics models to mine the data to gain business insights. This includes: cutting-edge analytical modeling; statistical analysis; data management techniques; emerging concepts, practices, and techniques in handling big data; data modeling and analysis to identify patterns; and applying skills to real-world problems in specific business domains.
The program is one year and 30 credits. The curriculum offers a balance between foundational business concepts with skills in analytical and statistical modeling and data management. The curriculum includes three parts: a business core, an analytics core that includes both modeling and data management courses, and a domain-focused application core that includes project-based courses that allow students to apply their skills to real-world problems in specific domains.
This program is designed to provide hands-on experience through real-world problem solving. Academic partnerships with IBM and SAS, a business analytics software and services provider, will allow students to access a suite of software tools from these firms. Students will be able to use these software platforms in their courses to gain practical experience. Real-world data sets will also be used.