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 50 faculty members in the DSO Department at Marshall spans three main disciplines: information systems, operations management, and statistics.

  • Information systems courses familiarize students with emerging technologies, digital transformation tools, and digital business models, which offer new ways to transform data into value for consumers and firms. Many of these courses involve field-based projects.
  • Operations management courses prepare students to design and lead flexible businesses that can capitalize on data-driven insights and that are sufficiently robust to survive the unexpected.
  • Statistics courses teach students how to extract actionable business insight and reliable forecasts from the "big data" collected by smart devices and e-commerce applications.

  All faculty in the DSO department are very active in teaching, in research, and in various professional organizations. Several of them have earned prestigious research awards and honors, serve on editorial boards of major academic journals, and have won best-teacher awards.

  
  

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DEGREES + COURSES

UNDERGRADUATE DEGREES

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• 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.
  

  COURSE CATALOGUE BS Business Administration with Emphasis in Business Analytics (BALT)
• 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.
  

  MORE BS Artificial Intelligence for Business (BUAI) 
• 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.
  

  MORE Progressive Degrees (PDP)

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GRADUATE DEGREES

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• 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.
  

  COURSE CATALOGUE MS Business Analytics (MSBA)
• MS Global Supply Chain Management (MSGSM)
  

  Projects-driven program focused on the increasingly global, complex, and ever-evolving world in supply chain management.
  

  COURSE CATALOGUE MS Global Supply Chain Management (MSGSM)
• 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.
  

  COURSE CATALOGUE Graduate Certificate in Business Analytics
• 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.
  

  MORE Graduate Certificate in Optimization and Supply Chain Management
• 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.
  

  COURSE CATALOGUE Graduate Certificate in Sustainability and Business

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• ALL DSO COURSES

INSIGHT + ANALYSIS

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• Quoted: Nick Vyas in Business Insider

  As a trade tensions intensify, Vyas says China may hold the stronger hand.

  GO TO ARTICLE Quoted: Nick Vyas in Business Insider
• Quoted: Nick Vyas in L.A. Times

  As tech companies face uncertainty under Trump’s expanded tariffs, Vyas says simply shifting production outside of China may no longer be enough.

  GO TO ARTICLE Quoted: Nick Vyas in L.A. Times
• Quoted: Greys Sošić in USC Today

  Sošić explains that supply chain issues and lithium price spikes during the COVID-19 pandemic highlighted the risks of relying on foreign sources.

  GO TO ARTICLE Quoted: Greys Sošić in USC Today
• Quoted: Nick Vyas in Wired

  Vyas explains the potential positive long-term effects of new tariffs, noting that the United States has entered a consumption mindset rather than a creation one.

  GO TO ARTICLE Quoted: Nick Vyas in Wired
• Quoted: Kimon Drakopoulos in Good Men Project

  Though AI adoption has surged to 65% according to a McKinsey's 2024 global survey, cultural shifts and tough questions remain key barriers, says Drakopoulos.

  GO TO ARTICLE Quoted: Kimon Drakopoulos in Good Men Project

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ALL DSO INSIGHT + ANALYSIS

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.

  MORE New Research: Bail Reform Does Not Increase Crime in New York Cities
• 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.
  

  MORE The Value of Personal Data in Internet Commerce: A High-Stake Field Experiment on Data Regulation Policy
• 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.
  

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DSO SEMINAR

NEWS + EVENTS

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• Marshall Faculty Publications, Awards, and Honors: March 2025

  We are proud to highlight the many accomplishments of Marshall’s exceptional faculty recognized for recently accepted and published research and achievements in their field.

  MORE Marshall Faculty Publications, Awards, and Honors: March 2025
• USC Marshall Faculty Present Latest Findings at Annual Research Fair

  Faculty from across five departments at the business school offered research on behavioral economics, data privacy, AI, gender participation, and causal inference.

  MORE USC Marshall Faculty Present Latest Findings at Annual Research Fair
• Marshall Faculty Publications, Awards, and Honors: February 2025

  We are proud to highlight the many accomplishments of Marshall’s exceptional faculty recognized for recently accepted and published research and achievements in their field.

  MORE Marshall Faculty Publications, Awards, and Honors: February 2025
• Marshall Minds Ep. 5: “Distance Profiles: A Model-Free Approach to Complex Data Analysis.”

  Assistant Professor Paromita Dubey expands the arsenal of methodology for analyzing complex object data by developing an easy-to-compute, theory-backed practical toolkit that goes beyond traditional data analysis techniques.

  MORE Marshall Minds Ep. 5: “Distance Profiles: A Model-Free Approach to Complex Data Analysis.”
• Marshall Faculty Publications, Awards, and Honors: December 2024 and January 2025

  We are proud to highlight the many accomplishments of Marshall’s exceptional faculty recognized for recently accepted and published research and achievements in their field.
  
  For a list of recent faculty promotions, please visit here. 

  MORE Marshall Faculty Publications, Awards, and Honors: December 2024 and January 2025

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ALL DSO NEWS + EVENTS

FACULTY

FULL-TIME FACULTY

• Mohammed Alyakoob

  • Assistant Professor of Data Sciences and Operations

  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

  • Professor of Clinical Data Sciences and Operations

  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

  • Assistant Professor of Clinical Data Sciences and Operations

  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

  • Assistant Chair for the Department of Data Sciences and Operations
  • Professor of Clinical Data Sciences and Operations

  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.
  

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• ALL DSO FACULTY

PhD STUDENTS

• Rashmi Ranjan Bhuyan

  • PhD Candidate in Data Sciences and Operations

  Rashmi is a fourth 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.

• Sebnem Manolya Demir

  • PhD Student in Data Sciences and Operations
• Katerina Giannoutsou

  • PhD Candidate in Data Sciences and Operations

  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.

• Sang-Wook Lee

  • PhD Candidate in Data Sciences and Operations

  Second year Ph.D. student in Data Sciences and Operations at USC Marshall School of Business

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STUDENT ORGANIZATIONS

• MS Business Analytics Student Association

  The MS Business Analytics Student Association (MS BASA) is a student-led organization dedicated to empowering MSBA students with the necessary networking and professional skills to succeed in their careers. Additionally, we aim to enrich the student experience and establish a strong community of business analytics professionals within USC and beyond. To achieve this, we offer a diverse range of opportunities including workshops, networking events, case competitions, social gatherings, and more.
  

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• Operations Management Association

  OMA is a student-run organization established for the expressed purpose of developing our members by teaching them the managerial and technical skills of operations. We host networking events, workshops and off campus excursions.
  

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• Operations Management Club

  The Marshall Operations Management Club (OMC) is a functional club that focuses on preparing MBA students for the wide arrayopportunities in operations management and supply-chain management including sourcing, logistics, manufacturing, and analytics across consulting, services and multiple industries such as healthcare, automotive and technology. OMC provides a great opportunity to network with recruiters, alumni, and 2nd yearMBAs, and to learn about the variety of roles and responsibilities within operations management.
  

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CURRENT COURSES

Below is a selection of current courses taught by the department. For a complete listing of current courses please see the USC SCHEDULE OF CLASSES.

• BUAD-112
  AI for Business Freshman Academy

  Introduction to Artificial Intelligence for Business, both in curriculum and resources, and access to industry professionals. (Graded CR/NC)
• BUAD-310
  Applied Business Statistics

  Statistical methods for business analysis; data exploration and description; sampling distributions; estimation; hypothesis testing, simple and multiple regression; model building. Extensive computer applications. (Duplicates credit in BUAD 312 and the former ITP 251.)
• BUAD-311
  Operations Management

  Fundamentals of operations management. Skills needed to analyze, manage, and improve business processes. Topics include: process, capacity, service, and inventory management and optimization. (Duplicates credit in BUAD 313 and BUAD 315x.)
• • BUAD-312
    Statistics and Data Science for Business

    Statistical methods for exploration, visualization, and analysis of large business datasets; simulation; hypothesis testing, multiple regression modeling, and confidence intervals. Coding taught through data applications. (Faster-paced version of BUAD-310g. Duplicates credit in BUAD 310g and the former ITP 251.)
  • BUAD-313
    Advanced Operations Management and Analytics

    Advanced operations management techniques to analyze and improve business processes. Decision making under uncertainty through case studies with real data, using state-of-the-art simulation and optimization. (Faster-paced version of BUAD 311. Duplicates credit in BUAD 311 and BUAD 315.)
  • BUAD-315
    Basics of Project and Operations Management for Non-Majors

    Introduction to tools and methods for the design, production, and delivery of goods and services. Techniques for planning, monitoring, and controlling complex projects. Not available for degree or major credit for business and accounting majors. Duplicates credit in BUAD 311 and BUAD 313.
  • BUAD-425
    Introduction to Business Analytics

    Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.
  • BUAD-494
    Marshall Honors Research and Thesis

    Experience in conducting research and writing a thesis under the supervision of a faculty adviser.
  • DSO-401
    Data Analysis with Spreadsheets

    Applied understanding of how spreadsheets are used to analyze business information. Create real world software applications for use in accounting, finance, marketing and operations.
  • DSO-424
    Business Forecasting

    A variety of forecasting techniques used by a variety of businesses. Emphasis on learning to apply these techniques to real data.
  • DSO-431
    Digital Innovation as Competitive Advantage

    Implementing transformative digital technologies. Strategies to complete with ERP, blockchain, cloud, cryptocurrency, fintech, insurtech, API economy, digital platforms/ecosystems, open data, AI and ML.
  • DSO-435
    Enterprise Data Architecture

    Management of enterprise data architecture including data structures, conceptual data modeling, logical data modeling, structured query language (SQL), and physical optimization of high performance data architecture. Duplicates credit in former IOM 435.
  • DSO-443
    Business Model Innovations in the Media Industries

    How rapid changes in information-communication technologies blur the distinctions between "entertainment" and "productivity," giving rise to new business models, services and products that integrate both.
  • DSO-455
    Project Management

    Topics related to project management in a variety of industries such as real estate projects, new product launch, plant location, etc.
  • DSO-459
    Business Analytics with Python

    Implement strategies and approaches for defining, performing and presenting business analytics. Analyze cases through the lens of descriptive, predictive and prescriptive tools. Uses Python programming.
  • DSO-462
    Managing a Small Business on the Internet

    Foundational knowledge for managing a small business on the internet including strategies, tools, and resources integrated with hands-on skills for developing a small business website. Duplicates credit in former IOM-462.
  • DSO-505
    Sustainable Supply Chains

    Sustainability concepts and frameworks, design for environment, closed-loop supply chains, sustainability in sourcing, green facilities, renewable energy, facility location and transportation decisions, strategic sustainability implementation.
  • DSO-506
    Sourcing and Supplier Management

    Factors to consider when making sourcing decisions (costs, prices, ethics, globalization); impact of sourcing on other activities such as product design or inventory management.
  • DSO-510
    Business Analytics

    Foundational knowledge for business analytics, including strategies, methods, and tools integrated with hands-on skills for defining business analytics for data-driven decision making and innovation.
  • DSO-521
    Smart City Tactics, Technologies and Operations

    Application of modern smart city technologies, data tools and digital strategy to solve real-world urban challenges, such as public safety, transportation, health and environmental sustainability.
  • DSO-522
    Applied Time Series Analysis for Forecasting

    Survey of forecasting and time series methods. Models for stationary and nonstationary time series; ARIMA model identification, estimation, and forecast development. Seasonal and dynamic models. Web registration open only to graduate business and accounting students. Duplicates credit in former IOM 522.
  • DSO-528
    Blended Data Business Analytics for Efficient Decisions

    Build Analytical Models for Classification, Clustering and Association Problems. Leverage third party "Big Data" for enriching and monetizing data. Develop data mining and business analysis.
  • DSO-531
    Digital Foundations for Business Innovation

    Developing a strategic perspective on emerging digital innovations shaping consumer-oriented businesses. Topics include artificial intelligence, autonomous vehicles, augmented/virtual reality, post-screen usability and cybersecurity.
  • DSO-545
    Statistical Computing and Data Visualization

    Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate and time series graphics; interactive graphics; web-related computing.
  • DSO-547
    Spreadsheet Modeling for Business Insights

    Application of decision analysis, simulation and optimization techniques to managerial problems. Learn how to create and present useful spreadsheet models to analyze practical business models.
  • DSO-551
    Digital Transformation in the Global Enterprise

    Leveraging large enterprise system applications for strategic value; managing organizational transformation of global enterprises through digital business platforms; coping with disruptive technologies.
  • DSO-556
    Business Models for Digital Platforms

    Managing Business models in digital platform ecosystems; designing new products and services for digital platforms; establishing digital platform leadership; assessing emerging niches in digital spaces.
  • DSO-557A
    Global Supply Chain Management in International Settings

    Study of global logistics infrastructures - water, rail, road, and air - through readings, team research and presentation, international site visits, and final written report. Open only to Global Supply Chain Management majors. Duplicates credit in former IOM 557a.
  • DSO-557B
    Global Supply Chain Management in International Settings

    The influence of value-added services and regulatory issues on suppliers and supply chains. Readings, team research and presentation, site visits (LA), and final written report. Open only to Global Supply Chain Management majors. Duplicates credit in former IOM 557b.
  • DSO-559
    Introduction to Python for Business Analytics

    Python programming for descriptive data analytics and technical tools for business applications. Solving business problems and formulating actionable business recommendations including their limitations.
  • DSO-560
    Text Analytics and Natural Language Processing

    Acquire, analyze, visualize and perform natural language processing (NLP) on text data. Apply Python, machine learning packages, statistical methodology and computer code to business decision-making.
  • DSO-562
    Fraud Analytics

    Fraud detection model systems; identify normal vs. outlying behavior; malicious adversaries; complex datasets; supervised and unsupervised fraud statistical models; measures of model efficacy.
  • DSO-568
    Healthcare Analytics

    Healthcare analytics challenges, opportunities, real vs. speculation vs. hype. Hands-on analysis of healthcare data. Presentation of actionable business strategy insights and recommendations.
  • DSO-570
    The Analytics Edge: Data, Models, and Effective Decisions

    Decision making under uncertainty using real data applying the most advanced optimization, statistical and probability methods. Duplicates credit in former IOM 570.
  • DSO-573
    Data Analytics Driven Dynamic Strategy and Execution

    Achieving and enhancing competitive advantage through applications of data analytics, continuous insight discovery, strategy formulation and execution for the next generation of corporate leaders.
  • DSO-575
    Driving Business Transformation with GenAI and ML

    Modernize cloud and big data platforms. Build and Implement long-term GenAI/ML strategies for business transformations using LLMs in the Cloud.
  • DSO-578
    Fundamentals of Sports Performance Analytics

    Statistical models for pro sports industry business application. Effectively communicate findings for practical actionable results. Sports science data protocol.
  • DSO-580
    Project Management

    Applications of systems theory and concepts, matrix organizational structures, PERT/CPM project modeling, and management information systems to the management of complex and critical projects.
  • DSO-581
    Supply Chain Management

    Issues in supply chain management. Supply chain performance and dynamics. Tools for planning, control and coordination. Supply chain design and strategy. Recommended preparation: GSBA 504b or GSBA 534.
  • DSO-582
    Service Management: Economics and Operations

    Examination of the service industry from a managerial and entrepreneurial perspective; emphasis on the tactical decisions needed to design and deliver successful and profitable services. Recommended preparation: GSBA 504b or GSBA 534.
  • DSO-584
    Global Operations Management

    Exposure to issues crucial to the globalization of operations and their successful/unsuccessful operations management approaches in several countries and industries.
  • DSO-585
    Data-Driven Consulting

    Hands-on application of descriptive, predictive and prescriptive analytics to a unique business problem. Use business intelligence, programming and available tools to implement analytics-based solutions.
  • DSO-588
    Supply Chain Finance

    Combines finance and supply chain management. Assess financial opportunities, finance fragmentation, challenges, optimizing working capital and managing risk in supply chain finance.
  • DSO-593
    Independent Research in Data Sciences or Operations

    Independent research beyond normal course offerings. Proposal, research and written report/paper required. Graded CR/NC.
  • DSO-595
    Internship in Data Sciences or Operations

    Supervised on-the-job business experience in the student's area of interest (Curricular Practical Training). Recommended preparation: completion of required MBA, MSGSCM, or MSBA courses.
  • DSO-597
    Consulting Project in Data Sciences or Operations

    Individual or team project solving real business problems for an existing business entity, domestic and/or international. Proposal, field research, analyses and oral and written presentations. Open only to graduate business students.
  • DSO-598
    Special Topics

    Selected topics reflecting current trends and recent developments in data sciences, operations management, supply chain management and/or decision support systems. Online registration open only to graduate business students. Graded CR/NC.
  • DSO-599
    Generative AI and Automation: Business and Societal Implications

    Analysis of digital transformation, industrial economics and digitization research. How companies use AI and automation technologies. Transformation of Generative AI on economy, society and business.
  • DSO-599
    Special Topics

    Selected topics reflecting current trends and recent developments in data sciences, operations management, supply chain management and/or decision support systems.
  • DSO-621
    Research Forum

    Seminar. Review and discuss current research in Data Sciences and Operations. Presentations by faculty, visiting researchers, and advanced students. Open to Marshall Ph.D. students only. Graded CR/NC.
  • DSO-670
    Current Research in Operations Management

    Critique of the current research-based literature in operations management to include scheduling, forecasting, MRP, technology planning, inventory management, and facilities location and layout. Duplicates credit in former IOM 670.
  • DSO-699
    Fundamentals of Probability for Data Science and Operations

    Fundamentals of measure-theoretic probability. For research in stochastic control, reinforcement learning, statistics, operations research, queueing networks, revenue management, and the theory of machine learning.
  • DSO-699
    Special Topics

    Exploration of emerging topics, literature and research techniques in contemporary data sciences, operations management, supply chain management, and/or decision support systems.
  • GSBA-504A
    Operations Management

    Formulation, modeling, analysis, and optimization of business decision problems; survey of concepts and techniques necessary to manage the operations function of a firm. Duplicates credit in GSBA-534 and the former GSBA-504.
  • GSBA-505
    Fundamentals of Business

    Fundamentals of financial accounting, microeconomics, statistics, analytics and communication.
  • GSBA-524
    Data Science for Business

    Principles of probability theory and classical statistics applied to business decision problems; survey analysis, estimation and prediction methods, evaluation, and control techniques. Duplicates credit in GSBA 506ab, GSBA 516, GSBA 545.
  • GSBA-534
    Operations Management

    Formulation, modeling, analysis, and optimization of business decision problems; survey of concepts and techniques necessary to manage the operations function of the firm. Recommended preparation: GSBA 506b or GSBA 524 or GSBA 516 and GSBA 545. (Duplicates credit in GSBA-504ab)
  • GSBA-537
    Managing Inside the Firm

    Thematic exploration of managerial accounting, employment law, operations management and organizational behavior. Application of analytics and communication to optimize internal operations.
  • GSBA-540
    Contemporary Issues in Competitive Strategy

    Introduces the role industry and competitive analysis serves in an organization. Topics covered include global competition, innovation, the use of standards, competence, and building organizational capabilities to sustain competitive advantage. Duplicates credit in GSBA 529.
  • GSBA-545
    Data Driven Decision Making

    Data analysis technologies for business decision making; principles and techniques of statistical inference for business problem solving; foundations of data-driven regression and time series analytics. Duplicates credit in GSBA 506ab and GSBA 524.
  • GSBA-560
    The Perspective of Top Management

    Using cases, students are introduced to top management issues of executive leadership, environmental and strategic analysis, use of financial statements, organizational assessment and design, technology management and decision support systems. Graded CR/NC.
  • GSBA-561
    Evaluating Market Performance

    Evaluation of the firm by the market forces that affect its success; financial accounting and reporting; competitive market analysis; external communication; microeconomics; labor, customer and financial markets, statistical and decision analysis, financial and organization measures of effectiveness.
  • GSBA-566
    Evaluating Business Performance

    Thematic introduction to finance, statistical and decision analysis, marketing, financial accounting and reporting, competitive market analysis, external communication, and financial and organization measures of effectiveness.
  • GSBA-570
    The Role of the Senior Executive

    Introduction to strategic management; executive leadership; environmental analysis; international context; financial growth strategies; social, legal and macroeconomic issues; role of CEO with boards, media and other publics; business ethics, strategic planning project. Recommended preparation: GSBA 534
  • GSBA-571
    Environmental Analysis: Establishing Competitive Advantage

    Development of strategic planning processes; analysis of economic, social, political environment; forecasting; futures research; macroeconomics; international economics; technological developments; multinational management simulation; field projects.

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• CONTACT 

  Marshall School of Business
  Department of Data Sciences and Operations (DSO)
  Bridge Hall 308
  Los Angeles, CA 90089-0809
  Phone: 213-740-0172
  EMAIL
  

• RESOURCES

  Current faculty can access DSO department materials from My.Marshall, please visit HERE (login required).
  

  Students interested in positions with the DSO department, please fill out the DSO Student Worker Application FORM.