Management Sciences are the technologies of scientific methods which provide a quantitative basis for the purpose of forecasting, planning, management and decision making in many business operations. The Department of Decision Analytics and Operations contributes to the field of knowledge through research and education in two broad areas: Operations Research/Operations Management (OR/OM) and Business Statistics. OR/OM seeks to provide a rational basis for decision analysis across a broad spectrum of business functions such as production and operations, marketing, finance, human resources, project management, logistics, and supply chain management. Statistical methods provide analytical tools for research in business, industries and government agencies. Our PhD programme is formulated to prepare students for research and teaching at university level. The aim of the programme is to provide a strong disciplinary background in the core research areas of the department.
The majority of our recent faculty are recruited from the best research universities in North America, and we pride ourselves on the high-quality research produced by our faculty members. We measure ourselves against international standards and compete strongly in the global market place of educational institutions. Our high quality research was rewarded in the most recent 2024 UT Dallas (UTD) Business School Rankings, where the university is placed 28th worldwide, well above some of the world’s reputable universities. In the OR/OM area, Department of Decision Analytics and Operations is ranked 6th in Asia-Pacific region and 29th in the world.
Operations Research/Operations Management. Our world-class OR/OM faculty has a wide range of research expertise in broad areas of operations research, ranging from applied research such as supply-chain inventory management, revenue management, health care management, service operations, financial engineering, risk analysis, and logistics management to theory oriented research such as optimization, game theory, and simulation, and interdisciplinary research between operations and risk management/marketing/finance/accounting. In recent years, publications of OR/OM faculty have appeared in flagship journals of the field, including Management Science, Manufacturing & Service Operations Management, Operations Research, and Production and Operations Management. The department’s OR/OM faculty research areas are organized in the following categories:
Supply Chain Management
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Simulations
Financial Engineering and Risk Management
Healthcare Management
Interfaces between Operations with Finance/Marketing
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Logistics
Revenue Management
Energy Issues
Empirical Operations Management
Business Statistics and related fields. Our BS faculty has research strengths in the following areas: Bayesian statistics, biostatistics, data mining, econometrics, nonparametric methods, time series forecasting and survey methods. The BS group, despite its small size, contributes to produce research output that has appeared in a number of leading journsls including the Annals of Applied Statistics, Biometrics, International Statistical Review, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of the American Statistical Association, Statistical Science, Statistics in Medicine, and Technometrics in recent years. The department’s BS faculty research areas are organized in the following categories:
Business Statistics & Econometrics
Data Analytics
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Statistical Modeling
Statistical Inference
