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Department of Information and Decision Sciences

A phoot of students walking through campus during the day.

Welcome to the Department of IDS

Information and Decision Sciences (IDS) programs and research emphasize the critical role of information systems, operations management, and data analytics in businesses and organizations. With a faculty comprised of world-class researchers and experienced industry professionals, we are committed to educating the next generation of leaders in the cutting-edge technologies and solutions that increasingly define success in the global market.

Our program curriculum evolves to encompass ongoing technological change and its effects on business. It emphasizes experiential learning and includes real world projects that integrate foundational knowledge at the business-technology interface. Projects with industry partners are a required component for both our undergraduate and graduate programs. These projects are supported by industry sponsors and faculty who are actively engaged with the Chicago-area business community. Our programs produce well-rounded analysts, consultants, and managers who are ready to meet the growing demand for these skills in the marketplace.

Research is an integral part of what we do. Our faculty is engaged in fundamental research at the forefront of some of the most important questions faced by modern businesses and socio-economic systems. IDS faculty are active in research in three main areas: 1.  information management and systems, 2. business analytics - machine learning, statistics and optimization, and 3. supply chain and operations management.

Programs

Undergraduate programs

Bachelor of Science in IDS
Concentrations/Minors
1. Management Information Systems
2. Supply Chain and Operations Management
3. Business Analytics

Graduate programs

Management Information Systems
Business Analytics

 

Research

Research at IDS is divided into three broad areas:

  • Management Information systems (MIS)
  • Operations Management (OM)
  • Business Analytics - Machine Learning, Statistics and Optimization

Events

IDS Seminars

Each week, IDS faculty from across the nation bring their latest research to faculty, staff and students. Seminars are held in 2450 University Hall fom 1:15 - 2:45 p.m. unless otherwise noted.

Schedule

Fall 2017

September 15
Alejandro Toriello, Georgia Tech.
"Sharing and Risk Aversion Don’t Mix:  Dynamic Linear Programming Games with Risk-Averse Players"

September 29
Negar Soheili Azad, UIC.
"Emphasizing feasibility and near optimality in first-order methods: A level-set method with a feasible solution path"

October 6
Jennifer Cutler, Northwestern University.
"Scaling Up Marketing Research with Social Media"

November 3
Dashun Wang, Northwestern University.
Title TBD

November 10
Ozan Candogan, University of Chicago.
Title TBD

November 17
Linwei Xin, University of Chicago.
Title TBD

December 1
Hong Guo, University of Notre Dame.
Title TBD