Decision, Operations & Information Technologies

The Decision, Operations and Information Technologies (DO&IT) Department at the Robert H. Smith School of Business:

#6

Information Systems

#11 among publics

2024 U.S. News & World Report

  • Educates students and creates tomorrow's leaders
  • Conducts high-impact research relevant to policy and practice
  • Collaborates with industry and government to foster thought leadership

The widespread availability of data, combined with advances in information technology and our understanding of operations, has led to transformative shifts in the way that industry and government agencies do business. Courses in the department provide students with an understanding of technology, social media, spreadsheet modeling, digital markets, data mining and predictive analytics, operations and supply chain, pricing and revenue management and project management. Department faculty conduct leading-edge research on these topics and bring the results into the classroom.

The department offers two undergraduate majors and one undergraduate minor, a wide selection of courses in all of the MBA programs (full-time, part-time, and online), three MS programs (Information Systems, Business Analytics — full-time and online), and a PhD program. The Center for Digital Innovation, Technology & Strategy is associated with DO&IT. Department faculty are highly ranked in the profession and among business school IT and operations management groups. The faculty includes a mix of well-published research faculty who bring rich concepts to the classroom while experienced professional faculty members contribute their experience in industry and government to the curriculum.

Students with knowledge of information technology, data analytics and operations are highly sought after by all types of employers, and we encourage students to take courses in DO&IT to prepare for a rewarding career in business or government. Please feel free to contact individual faculty members about questions concerning programs, courses, research or other questions you may have.

Research

The DO&IT department is highly ranked on the quality and quantity of its research. This part of our website highlights the productivity of the faculty and doctoral students and the breadth of interests found in our group. You can follow the links to find our ongoing research projects, sample abstracts of recent faculty publications as well as a more extensive list of faculty members' publications over the last 10 years. We welcome your questions and reactions to our work.

DO&IT News

21 Smith School Professors Named Among Top 2% Scholars Worldwide
Twenty-one Smith School professors were named among the top 2% most cited researchers globally, according to Elsevier’s 2025 study across…
Read News Story : 21 Smith School Professors Named Among Top 2% Scholars Worldwide
Raghavan Named 2025 INFORMS Fellow
S. Raghu Raghavan, Dean’s Professor of Management Science and Operations Management, was named an INFORMS Fellow—one of the field’s highest…
Read News Story : Raghavan Named 2025 INFORMS Fellow
Elmaghraby Elected to Top Leadership Role of INFORMS
Wedad Elmaghraby, Dean’s Chair of Operations Management and Senior Associate Dean for Faculty at the University of Maryland’s Smith School…
Read News Story : Elmaghraby Elected to Top Leadership Role of INFORMS

Insights & Research

Facial Recognition Flaws and Deepfake Solutions: Smith School Researchers Address AI Bias
Read the article : Facial Recognition Flaws and Deepfake Solutions: Smith School Researchers Address AI Bias
Research from Smith Looks at Progress and Prospects with Large Language Models and Synthetic Health Data
Read the article : Research from Smith Looks at Progress and Prospects with Large Language Models and Synthetic Health Data
Smith Students Assess How Deeply Federal Spending Impacts the State of Maryland
Read the article : Smith Students Assess How Deeply Federal Spending Impacts the State of Maryland
Smith Research Develops Model to Address Product Life Cycle Forecasting
Read the article : Smith Research Develops Model to Address Product Life Cycle Forecasting
Online Marketplaces: Beyond the Number of Buyers and Sellers
Read the article : Online Marketplaces: Beyond the Number of Buyers and Sellers
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