Department: Data Sciences and Operations
Data Sciences and Operations
The Department of Data Sciences and Operations (DSO) provides students with quantitative and analytic skills needed to excel in today's data-driven business world.
The expertise of the over 40 faculty members in the DSO Department at Marshall spans three main disciplines: information systems, operations management, and statistics.
DEGREES + COURSES
UNDERGRADUATE DEGREES
BS Business Administration with Emphasis in Business Analytics (BALT)
The Bachelor of Science in Business Administration with an emphasis in Business Analytics provides specialized skill sets for students who plan a career in today’s business world, where analytics is at the forefront. The degree signals to potential employers that the graduate is ready to utilize the tools and techniques that aim to turn data into meaningful business insights. Students will obtain the necessary skills for defining business analytics for data-driven decision making along with the hands-on experience using analytics to solve real-world problems.
BS Artificial Intelligence for Business (BUAI)
The USC Marshall School of Business, in partnership with the USC Viterbi School of Engineering, offers the Artificial Intelligence for Business joint-degree program. AI for Business brings together the expertise of one of the top business schools and one of the top engineering schools in the country to create a new generation of tech-savvy business leaders.
Progressive Degrees (PDP)
Undergraduate students can utilize the PDP pathway to add a Masters of Science degree to deepen their education starting junior year. This pathway reduces the number of units needed to complete an MS degree, in some cases by as much as 1/3rd, allowing completion within one additional year depending on the program and individual student course plans.
GRADUATE DEGREES
MS Business Analytics (MSBA)
The Master of Science in Business Analytics provides students with the skill and knowledge to become experts in business analytics and to advance their careers in the area of data analytics. Students in the program acquire the statistical and optimization tools necessary to analyze large and unstructured data sets and make optimal decisions to improve the performance of their organization. In addition, students develop the ability to effectively present complex data to high-level decision-makers. This program concentrates on business applications across different industries and functions including marketing, finance, operations management, retail, manufacturing, banking and health care.
MS Global Supply Chain Management (MSGSM)
Projects-driven program focused on the increasingly global, complex, and ever-evolving world in supply chain management.
Graduate Certificate in Business Analytics
The Graduate Certificate in Business Analytics provides students with the tools, ideas and frameworks that will aid them in making business decisions in a scientific manner, based on actual data, to improve the performance of their organization. Students in the program acquire the statistical and optimization tools necessary to analyze large and unstructured data sets and make optimal decisions to improve the performance of their organization.
Graduate Certificate in Optimization and Supply Chain Management
In partnership with the Viterbi School of Engineering, this program offers opportunities to understand the rapidly growing uses of technology and data analysis to improve the management of global supply chains.
Graduate Certificate in Sustainability and Business
The Graduate Certificate in Sustainability and Business prepares students to help shape solutions to social and environmental sustainability challenges, both from within and from outside the business sector.
INSIGHT + ANALYSIS
Article: Why Customers Leave Platforms — and How to Retain Them
GRACE GU, assistant professor of data sciences and operations, co-authors an article for HARVARD BUSINESS REVIEW on the importance of platforms adding value to the consumer experience in order to retain and grow their base.
Quoted: Faculty Talk AI on Bloomberg
RAMAN RANDHAWA, senior vice dean for academic programs, and PETER CARDON, professor of clinical business communication, contribute to a BLOOMBERG article looking at how universities regard AI.
Interview: Nick Vyas on CXOToday
VYAS, associate professor of clinical data sciences and operations, discusses the future of India's positioning as a leader in supply chain management.
Interview: Milan Miric on Option Forward
MIRIC, assistant professor of data sciences and operations, joins the OPTION FORWARD pod to discuss the role of AI in the workforce.
RESEARCH
New Research: Bail Reform Does Not Increase Crime in New York Cities
Causal inference can rigorously inform executive decision-making about the actual impacts of difficult decisions on real outcomes.
The Value of Personal Data in Internet Commerce: A High-Stake Field Experiment on Data Regulation Policy
In a recent article forthcoming in Management Science, Professor Tianshu Sun and his co-authors explore the impact of strict data privacy laws on e-commerce by performing a large-scale randomized experiment on Alibaba, the largest e-commerce platform in the world.
Increasing Charity Donations: A Bandit Learning Approach
In recent work, Professor Somya Singhvi and his co-author propose a novel approach to maximizing donations on such platforms by developing a recommendation system that overcomes some of the drawbacks of widely used recommender systems.
NEWS + EVENTS
Welcome Back to Marshall
Marshall and Leventhal deans welcome incoming and returning students as the 2023-2024 academic year begins.
Marshall Faculty Publications, Awards, and Honors: August 2023
We are proud to highlight the amazing Marshall faculty who have received awards this month for their groundbreaking work.
Marshall Faculty Publications, Awards, and Honors: July 2023
We are proud to highlight the amazing Marshall faculty who have received awards this month for their groundbreaking work.
New Research: Bail Reform Does Not Increase Crime in New York Cities
Causal inference can rigorously inform executive decision-making about the actual impacts of difficult decisions on real outcomes.
Marshall Educators Honored with 2023 USC Mentorship Awards
Abby Fifer Mandell, K.R. Subramanyam, and Paat Rusmevichientong receive accolades for exceptional commitment.
FACULTY
FULL-TIME FACULTY
Mohammed's research examines the economic and societal impact of digital marketplaces, with a focus on examining and measuring the role of traditional barriers, related to market structure, race, and expertise, among others, on limiting the equality of benefits derived from these platforms.
Arif Ansari is an expert in the area of data mining, business intelligence, data warehousing, and intelligent systems and technologies, a field in which he has fifteen years of research experience. He has published in IEEE Transactions on Systems and Man and Cybernetics.
Cosimo Arnesano, Ph.D., MBA is a highly educated and experienced professional with a strong background in research services and business analytics implementation. With a Ph.D. in multiple fields and an MBA from the University of Southern California, Cosimo possesses a diverse skill set that includes fluorescence microscopy, biomedical engineering, Project/Operations Management, ML/AI, and more. His current interest focuses on how AI/ML can be applied to business processes, and their implications in the short and long run.
Murat Bayiz is a Professor of Clinical Data Sciences and Operations at Marshall School of Business. He has more than two decades of combined management consulting and academic experience and specializes in operations strategy.
PhD STUDENTS
Rashmi is a third year Ph.D. student in the statistics group at USC Marshall School of Business. He is broadly interested in machine learning and it's application in social science and business.
Gregory Faletto is a PhD Student in the statistics group of the Department of Data Sciences and Operations. He is interested in feature selection, probability estimation for rare events, causal inference, & modeling with applications in business, social science, and medicine.
Katerina Giannoutsou is a PhD student in the Data Sciences and Operations department in the Marshall School of Business. She previously obtained her bachelor’s degree in Mathematics and Economics at New York University and worked as a Research Assistant at the Operations Research Center of MIT where she focused on healthcare operations. Her current research focuses in mechanism design and the dynamics of two-sided platforms.
