iData
As a leader in data analytics education, Gies College of Business is committed to preparing students to be data-driven problem solvers.
As a leader in data analytics education, Gies College of Business is committed to preparing students to be data-driven problem solvers.
Organizations need to leverage vast amounts of data from various sources. iData combines data spread across many disparate systems, helping our partners gain deeper insights.
Data science work often begins with exploration and ends with prototyping, preventing insights from being put into practice. iData creates custom products for clients.
Insight comes from collaboration and expanding on existing ideas. To deepen knowledge, users need a framework to expand shared understanding and augment insights.
All University of Illinois students are encouraged to apply.
Applications are run through the Disruption Lab and are accepted at the beginning of each semester.
Do you have questions? Reach out to iData Director Sam Chen at sgc25@illinois.edu.
Data Scientist
Apply data mining techniques, conduct statistical analysis, and build high quality prediction systems.
Students must be familiar with cloud technology stack, and machine learning and deep learning algorithms.
Data Engineer and Architect
Help build the enterprise data management framework.
Students should have a solid understanding of the cloud, databases, and the applications used by those databases.
Student Machine Learning Engineer
The student machine learning engineer will help optimize iData's machine learning systems.
They will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and enhance the accuracy of AI software's predictive automation capabilities.