INFORMATION, RISK, AND OPERATIONS MANAGEMENT
The Texas McCombs doctoral program in IROM focuses on training future researchers in decision science, information systems, operations management, and statistics.
AREAS OF STUDY
SHAPE YOUR OWN PROGRAMThe Ph.D. program in Information, Risk, and Operations Management includes four different areas, all focused on business applications: Data Science, Information Systems, Operations Management, and Statistics. Students have significant flexibility to design their pathway and may take courses and select their doctoral committee members from a broad interdisciplinary spectrum.
ACADEMIC LIFE AT McCOMBS
MENTORSHIP AND PRACTICECore courses, common to all students in each area, are supplemented with elective courses tailored to accommodate the course of study of individual statements and dissertation writing courses. Students are encouraged to interact with faculty and students from all areas regularly. Most graduate courses are small seminar courses, usually between five-to-ten students.
GAINING MASTERY AND EXPERIENCEStudent progress is assessed in terms of competence in theory, practice, and research skills essential to each area. Each area evaluates performance based on course grades or a qualifying exam at the end of the first year and based on a paper or an oral exam by the end of the second year or the beginning of the third year of study. Students are encouraged to become involved with research projects.
The application deadline for the IROM Doctoral Program is December 15th.
AREAS OF SPECIALIZATION
Faculty and students in one of the areas in IROM work closely with colleagues from other areas within IROM and from colleagues from other departments in the college and university, including computer engineering, computer science, economics, law, management, marketing, mathematics, operations research, psychology, sociology, statistics, and data science.
Students in the Decision Science area focus on managing risk and developing "application-driven theory" to solve real-world problems. The faculty works on decision making under uncertainty, quantitative finance and numerical methods for solving financial models, risk management in the area of insurance, and on statistical models, machine learning, data analytics, and data mining.
Students in the Information Systems area focus on understanding the impact of information technology on individuals, organizations, and society. The faculty works in areas such as the economics of digital products, digital marketplaces, social media, strategic IT management, the business value of IT, virtual teams and collaboration technologies, healthcare IT, data mining and business analytics, artificial intelligence, blockchain, Internet of Things and design science using methods including econometric analysis, machine learning, experiments, qualitative research, and mathematical modeling.
Students in the Operations Management area learn how to develop and apply analytical and empirical models and methods to address strategic and operational issues in areas such as supply chains, manufacturing, services, healthcare, sustainability, not-for-profit operations, pricing, revenue management, project management, and product design. Students are trained in various methodologies to research these areas, including optimization, economics, stochastic models, statistics, econometrics, and simulation.
Students in the Statistics area focus on the theory and methods of statistics, emphasizing business applications. Students are exposed to both Bayesian and classical approaches to inference and modern computational statistical tools. Several of the courses students take in the area are shared with the Department of Statistics and Data Sciences. The main difference between the programs is the strong emphasis on business applications.
IROM Faculty by Area
GET READY TO APPLY
PREPARATION AND QUALIFICATIONSProspective applicants are required to hold a four-year bachelor's degree (not necessarily in the area of study) or equivalent before starting the program.
The primary goal of the Texas McCombs Ph.D. program is to prepare students for exceptional academic careers. Over the last five years, McCombs IROM Ph.D. alumni have excelled at top institutions globally.
Recent Graduate Placements
Junjie "Henry" Qian | 2021 | ByteDance
Cenying "Tracy" Yang | 2021 | City University of Hong Kong
Tan Wang | 2021 | Expedia Group, Machine Learning Scientist
Subrahmanyam "Aditya" Karanam | 2021 | Assistant Professor, National University of Singapore
Paul Cronin | 2020 | Senior Manager of Data Science, The Home Depot
Parshuram Hotkar | 2020 | Assistant Professor, Indian School of Business
Haris Krijestorac | 2020 | Assistant Professor, HEC Paris
Xiaofan Li | 2020 | Assistant Professor, National University of Singapore
Yixuan Liu | 2020 | Assistant Professor, Purdue University
Quan Zhang | 2020 | Assistant Professor, Michigan State University
Yuxin Zhang | 2020 | Assistant Professor, Wayne State University
Jared Fisher | 2019 | Postdoc, University of California, Berkeley
Sebastian Souyris | 2019 | Postdoc, University of Illinois Urbana-Champaign
Long Zhao | 2019 | Assistant Professor, Department of Analytics and Operations, National University of Singapore
Shi Ying Lim | 2018 | Assistant Professor, National University of Singapore
Vishwakant Malladi | 2018 | Assistant Professor Indian School of Business
Chinmoy Mohapatra | 2018 | Operations Research and Analytics, BNSF Railways
David Puelz | 2018 | Postdoc, The University of Chicago Booth School of Business
Abhishek Roy | 2018 | Assistant Professor, Temple University
Changseung Yoo | 2018 | Assistant Professor, McGill University
Emre Yucel | 2018 | Data Insights Analyst, HomeAway
Samuel Blazek | 2017 | Two Six Technologies, Director of Research & Development
Yanzhen Chen | 2017 | Assistant Professor, HKUST
Gorkem Turgut "G.T." Ozer | 2017 | University of Maryland, College Park
Current Students and *Job Market Candidates
Tianjian "TJ" Guo
John-Patrick "JP" Akinyemi
Fiorentia “Fiori” Anglou
Zijian “Jacob” Zeng*
Pedro Filipini Dos Santos