Center for Applied Analytics

The Center for Applied Analytics enables collaboration with business communities, government, and Not-For-Profit agencies seeking innovative use of analytics. The Center for Applied Analytics' focus is to aid its partners in rapidly adopting new and emerging applications of analytics and decision-making to drive efficiencies and differentiation.

Our Vision

To be the recognized leader in promoting the adoption and effective use of advanced analytics

Our Mission

  • To promote advancements in the knowledge of the analysis and management of business information assets
  • To serve as an expert resource in the interplay of emerging analytic methods and technologies for partners in Chicago, nationally and globally
  • To promote excellence in the management and practice of analytics and information management with the practitioner and executive communities
  • To promote the educational and professional development of UIC’s MIS and Business Analytics students

Meet the Team

Project Collaboration

Call for Projects
We seek support from companies that can offer our students an opportunity to work on a MIS project (IDS 406/IDS507) or a more generic business problem (MBA590). Similar to an internship, but without any financial payments or contractual obligations, we require only a commitment of approximately 1-2 hours per week from one or more individuals in the organization to serve as mentors for the student team (3-4 students per team).

To participate, contact Kyle Cheek at kdcheek@uic.edu.

Project Courses

IDS 406 is the capstone course for Information and Decision Sciences undergraduate majors, and runs for the 16-week duration of the spring or fall semester. The projects for this course focus on technology solution designs and implementations. Initially, the course instructors meet with the sponsoring organization to develop high-level expectations for their project. The student teams are then responsible for finalizing the scope of work and a work plan for their projects in conjunction with their mentors. At this first meeting, the teams will arrange for weekly or other as-necessary meetings with the organization in order to gather requirements and information for their projects. Depending on the specific requirements of the project, the students may need to be assigned some work space and resources at the organizational premises. The students also meet weekly in class with their instructor to report project status. The instructor closely interacts with the mentor to assess the progress made by the student teams and whether expectations are being met.

IDS 507 is the capstone course for Masters in MIS students. It also runs for the 16-week duration of the spring or fall semester, and focuses on technology solution designs and implementations as well as systems and data analyses.

MBA 590 is an elective course for the MBA and Masters in MIS programs. It runs for the last half of the fall and spring semesters. For the fall 2015 semester, it will run from October 19 through December 11. This course focuses on business issues such as strategy and modelling, process reviews, marketing program review and planning, and financial analysis and planning; although generally these projects also involve technology components such as business intelligence, software evaluation and selection, and mobile enablement planning.

Student Profiles

The undergraduate students in IDS 406 are seniors who are nearing the completion of their studies and have had courses in databases and programming.

The graduate students in IDS 507 are from the MS-MIS/MBA programs. They have completed business foundation courses and have had formal training in business and system analysis, databases, application development, enterprise applications (J2EE) and other MIS courses. Other coursework in the program includes business data mining, IT audit, operations and supply chain management, and corporate IT strategy. Many of the students have previous work experience in varied business and IT-related roles.

Projects at UIC

  • Industry Domain

    • Healthcare
    • Finance
    • Consulting
    • Telecom
    • Legal
    • Insurance
    • HR/Benefits Management
    • CRM
    • Sales
    • Business Planning
    • E-commerce
    • Banking
    • Retail
    • Supply Chain

  • Project Deliverables

    • Risk Management Solutions
    • Report Automation
    • Revenue Forecasting
    • Document Classification
    • Customer Engagement
    • Health Management Solutions

     

    Projects span the range of difficulty levels with sponsors who are well established in analytics as well as new to analytics

  • Analytics Solutions Used

    • Data Visualization
    • Predictive Modelling
    • Machine Learning
    • Unsupervised Learning
    • Text Analytics
    • Experimental Design
    • Social Network Analysis

     

    Faculty and students work together to build creative solutions to problem statements of a variety of businesses. For more details, visit here.

Engagement

Big Data Symposium

Check back soon for information on this year’s event.

Contact Us

To sponsor a research project or Capstone project, please fill out the details and a member of the faculty will get back to you.

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