DSO Course Descriptions

Elective Course Guide
Career Profiles and DSO Electives
Academic
Discipline:
Consulting    

Operations &
Supply Chain
Management

Data & Business Analytics Digital
Transformation
Operations
Management

DSO 547
DSO 570
DSO 580
DSO 581
DSO 583
DSO 586
DSO 599
(see title)

GSBA 504B
DSO 520
DSO 547
DSO 549
DSO 570
DSO 580
DSO 581
DSO 582
DSO 583
DSO 586
DSO 547
DSO 570
DSO 599
DSO 547
DSO 570
DSO 580
DSO 599
(see title)
Sataistics/
Data Science
DSO 516
DSO 528
DSO 545
DSO 522
DSO 536
DSO 516, DSO 522
DSO 528, DSO 529
DSO 530, DSO 536
DSO 545, DSO 562
DSO 566, DSO 573
DSO 599 (see title)
DSO 528
DSO 573
Information Systems/
Digital Innovation
DSO 510
DSO 574
DSO 574 DSO 510
DSO 574
DSO 510
DSO 531
DSO 551
DSO 556
DSO 574
GSBA 554

Software taught and/or used:
     Python:
DSO 545 and some DSO 599s
     R: DSO 545, DSO 530, DSO 522 and some DSO 599s
     Tableau: DSO 510, DSO 583, and some DSO 599s
     SAS/JMP: DSO 510, DSO 528

Consulting Projects included in DSO 549. DSO 574, DSO 583, DSO 586, GSBA 554

Tools taught and/or used:
     Excel-Based Software (@Risk, Crystal Ball)
: DSO 536, DSO 547, DSO 570, DSO 580, DSO 581
     Excel Solver: DSO 547, DSO 570, DSO 580, DSO 581, and some DSO 599s
     MS Project: DSO 580

Data Sciences and Operations (DSO) Course Descriptions

The number in parentheses ( ) following each course title refers to the number of units the course is or may be worth.

505 Sustainable Supply Chains (1.5) 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.
506 Sourcing and Supplier Management (1.5) Factors to consider when making sourcing decisions (costs, prices, ethics, globalization). Impact of sourcing on other activities such as product design or inventory management.
510 Business Analytics (1.5 or 3) 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.
516 Probability and Data Modeling (1.5) Principles of probability methodology. Application for providing structure to uncertainty. Develop, implement, and use probability models.
520 Logistics Management (3) Gives students a managerial knowledge of basic logistics concepts and principles. Some topics include management of logistics cost integration, transportation, distribution, and customer service.
522 Applied Time Series Analysis for Forecasting (1.5 or 3) 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. Recommended preparation: GSBA 506ab or GSBA 524 or (GSBA 516 and GSBA 545) or other MBA-level statistics or analytics course.
528 Data Warehousing, Business Intelligence and Data Mining (1.5 or 3) Introduction to data warehousing, multidimensional database, online analytical processing, and survey of business intelligence applications that extract useful information from data warehouses: e.g., decision tree. Business applications emphasized.
529 Advanced Regression Analysis (3) Computer-assisted analysis of business data; advanced multiple regression analysis, survey analysis, ANOVA testing for Marketing-type applications and Times Series Analysis methods will be covered. Prerequisites: GSBA 506b or GSBA 524 or (GSBA 516 and GSBA 545) or other MBA-level statistics or analytics course.
530 Applied Modern Statistical Learning Methods (3) Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data. Prerequisite: DSO 545.
531 Digital Foundations for Business Innovation (1.5) 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.
534 Discrete-Event Simulation for Process Management (1.5 ) Application of discrete-event simulation models to events that occur randomly over time. Representation using process flow diagrams. Use of simulation methodology to improve process performance. Corequisite: DSO 516. (Duplicates credit in the former DSO 532.)
536 Monte Carlo Simulation and Decision Models (1.5) Application of Monte Carlo simulation to determine a range of outcomes for all possible courses of action. Application of Excel simulation. Corequisite: DSO 516. (Duplicates credit in the former DSO 532.)
543 Global Business Issues in the Networked Digital Industry (3) Assessing business impact of emerging technologies on companies, business models and strategies in the "converging" digital communications, media and entertainment industries: incorporates company field projects.
545 Statistical Computing and Data Visualization (3) Data cleaning and reshaping; good vs. bad graphics; univariate, bivariate, trivariate, hypervariate, and time series graphics; interactive graphics; web-related computing. Extensive computer applications using R.
547 Designing Spreadsheet-Based Business Models (3) Application of decision analysis, simulation and optimization techniques to managerial problems. Students learn how to create and present useful spreadsheet models to analyze practical business models. Recommended preparation: completion of required M.B.A. course work.
549 Application of Lean Six Sigma (3) Application of Six Sigma practices and techniques to improve operations in organizations. Duplicates credit in  ISE 507.  
551 Digital Transformation in the Global Enterprise (3) Leveraging large enterprise system applications for strategic value; managing organizational transformation of global enterprises through digital business platforms; coping with disruptive technologies.
552 SQL Databases for Business Analysts (1.5) SQL; relational database systems; data storage; data manipulation; data aggregation.
553 NoSQL Databases in Big Data (1.5) NoSQL; semi-structured and unstructured databases; data storage; data manipulation; distributed databases.
556 Business Models for Digital Platforms (3) 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.
562 Fraud Analytics (3) Fraud detection model systems; identify normal vs. outlying behavior; malicious adversaries; complex data sets; supervised and unsupervised fraud statistical models; measures of model efficacy. Prerequisite: DSO 545; Corequisite: DSO 530; Preparation: Basic statistics and probablilty, database management, basic programming skills.
566 Enroll in MKT 566 Marketing Analytics (3) Applications and models of marketing-related data analyses to the development of data-driven marketing strategies and making data-driven marketing decisions.
570 The Analytics Edge: Data, Models, and Effective Decisions (3) Decision making under uncertainty using real data applying the most advanced optimization, statistical and probability methods.
573 Data Analytics Driven Dynamic Strategy and Execution (3) Advanced applications of data analytics in dynamic strategy formulation and execution; analytics and business methods for data connected enterprises to continuously enhance their competitive advantage.
580 Project Management (3) 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. Recommended preparation: GSBA 504b or GSBA 534 or MBA-level Operations Management course.
581 Supply Chain Management (3) 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 or MBA-level Operations Management course.
582 Service Management: Economics and Operations (3) 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 or MBA-level Operations Management course.
583 Operations Consulting (3) Development of conceptual and analytic skill for improving operations. Analysis of business strategy, formulating and implementing operations strategy, process analysis and design, and project management. Recommended preparation: GSBA 504b or GSBA 534 or MBA-level Operations Management course.
586 Global Healthcare Operations Management (3) Application of operations management tools and techniques to improve the performance of healthcare delivery systems. May include international travel.  
592 Field Research in Data Sciences or Operations (.5-4, repeatable subject to approval by student's program director) Individual or team projects studying the business practices of an industry, company, government agency, country, geographic region, etc. Proposal, data collection, analyses, and written report. Recommended preparation: completion of required M.B.A.,MSGSCM, MS-BUAN, M.Acc., or M.B.T. course work. Visit the Independent Study page of this site for instructions and the application. Graded CR/NC.
593 Independent Research in Data Sciences or Operations (.5-4 repeatable subject to approval by student's program director) Individual research beyond normal course offerings. Proposal, research and written report/paper required. Recommended preparation: completion of required M.B.A., MSGSCM, MS-BUAN, M.Acc., or M.B.T. course work. Visit the Independent Study page of this site for instructions and the application. Graded CR/NC.
595 Internship in Data Sciences or Operations (.5-2 repeatableunits credited toward degree usually limited to 1) Supervised on-the-job business experience in the student's area of interest. (Curricular Practical Training) Recommended preparation: completion of required M.B.A., MSGSCM, MS-BUAN, M.Acc., or M.B.T. course work. Visit the Independent Study page of this site for instructions and the application. Graded CR/NC. 
596 Research Practicum in Data Sciences or Operations (.5-2 repeatable subject to approval by student's program director) Hands-on practical experience working with a Marshall faculty member from the Information and Operations Management department on an ongoing research project. Recommended preparation: completion of required M.B.A., MSGSCM, MS-BUAN, M.Acc., or M.B.T. course work. Visit the Independent Study page of this site for instructions and the application. Graded CR/NC. 
597 Consulting Project in Data Sciences or Operations (.5-5 repeatable subject to approval by student's program director) Individual or team projects solving real business problems for an existing business entity, domestic and/or international. Proposal, field research, analyses and oral and written presentations. Recommended preparation: completion of required M.B.A., MSGSCM, MS-BUAN, M.Acc., or M.B.T. course work. Visit the Independent Study page of this site for instructions and the application. Graded CR/NC
598 Special Topics (1, 1.5, 2, or 3, max 9) Selected topics reflecting current trends and recent developments in operations management, information systems, and decision support systems. Visit the Independent Study page of this site for instructions and the application. Graded CR/NCr.
599

Special Topics (1, 1.5, 2, or 3, max 9) Selected topics reflecting current trends and recent developments in operations management, information systems, and decision support systems. Letter graded. [Courses offered on an trial basis prior to conversion into permanent courses.]

  • Artificial Intelligence for Business (1.5)
  • Emerging Technologies in Supply Chain Management (3)
  • Game Data Analytics (3)
  • Getting Ready for Big Data (proposed to be DSO 574) (3)
  • Healthcare Analytics (1.5)
  • Introduction to Python for Business Analytics (1.5)
  • Supply Chain Analytics (3)
  • Supply Chain Finance (3)
  • Text Analytics and Natural Language Processing (1.5)

Not all courses are offered every semester. To view class schedules, please visit the USC Schedule of Classes at www.usc.edu/soc.