DS 110 Calculus with Business Applications (Units: 3)
Basic quantitative reasoning and employment of fundamental mathematical principles to solve business problems. Elements of calculus, mathematics of finance, and decision-making.
(Note: In order for this course to satisfy General Education, students must earn a C- or CR or higher grade if taken fall 2014 or later.)
DS 199 Decision Sciences Make-Up (Unit: 1)
Additional study to make-up for partial equivalents in Decision Sciences courses. May be repeated for a total of 2 units. [Formerly BA 199]
DS 212 Business Statistics I (Units: 3)
Statistical methods essential in solving business problems including probability distributions, estimation and tests of hypotheses, and regression analysis.
DS 312 Data Analysis with Computer Applications (Units: 3)
Interpretation and presentation of data with business applications, using statistical software packages. Multiple regression, sampling techniques, design and analysis of surveys, analysis of variance, experimental design, and contingency tables. [Formerly BA 312]
DS 408 Computer Simulation (Units: 3)
Development of computer-based simulation modeling skills, focusing on managerial cases. Experience with professional simulation software. Model formulation, execution, and interpretation of results. Classwork, 2 units; laboratory, 1 unit. [Formerly BA 408]
DS 411 Decision Modeling for Business (Units: 3)
Basic concepts of spreadsheet modeling and risk analysis with applications to practical business decision making. Topics include cost and demand modeling, risk analysis, revenue (yield) managment, and implementation of decision models using spreadsheets.
DS 412 Operations Management (Units: 3)
Management of manufacturing and service operations. Use of computer-based models. Use of computer-based models. Forecasting, capacity planning, linear programming, inventory management, quality management, and project management.
DS 467 Decision Science Internship (Units: 1-3)
Provides the opportunity to participate in a semester of field experience. Major report required. May not be used as part of DS concentration. (CR/NC grading only.)
DS 601 Applied Management Science (Units: 3)
Decision making in business emphasizing computer applications. Development of spreadsheet modeling skills and use of professional software.
DS 604 Applied Business Forecasting (Units: 3)
Business forecasting methodology and applications: quantitative and qualitative approaches to short-, medium-, and long-range forecasting. Practical aspects of forecasting within the business environment. Interrelationships with business planning. [Formerly BA 604}
DS 612 Data Mining with Business Applications (Units: 3)
Concepts of modeling and understanding of complex datasets based on advanced statistical methods. Discussion of various supervised and unsupervised learning techniques. Instruction in the use of statistical software such as R, SAS, Stata, etc.
DS 624 Quality Management (Units: 3)
Concepts, methods, and current practices ensuring product and service quality. Applications in manufacturing and service industries: quality as a system, customer-driven quality, continuous process improvement, implementation approaches, and ethical issues.
DS 655 Sustainable Supply Chain Management (Units: 3)
Design and management of supply chains, cost-effectiveness, environmental and social responsibility. Includes global facility and network design, aggregate planning, transportation, inventory management. (Plus-minus letter grade only.)
DS 660GW Communications for Business Analytics - GWAR (Units: 3)
Capstone course in Decision Sciences. Communication standards, supply chain management, quality, ethics, and sustainability. Focus on quantitative analysis and communication. Use of computer-based models. (ABC/NC grading only)
- Graduation Writing Assessment
DS 699 Independent Study (Units: 1-3)
Intensive problem analysis under the direction of a decision sciences faculty member. Open only to upper division students who have demonstrated ability to do independent work.
DS 767 Decision Sciences Internship (Units: 1-3)
Provides the opportunity to participate in a semester of field experience. Major report required. May not be used on ATC. (CR/NC grading only.)
DS 812 Data Mining and Advanced Statistical Methods for Business Analysts (Units: 3)
Focus on concepts of modeling and understanding of complex datasets based on advanced statistical methods with various supervised and unsupervised learning techniques. Including an overview of relevant algorithms while emphasizing business applications of these tools and use of statistical software commonly used in practice, such as R, Python, SAS, Stata, etc. (Plus-minus letter grade)
DS 816 Seminar in Business Forecasting (Units: 3)
Theory and practice of short, medium, and long range forecasting within business environments. Quantitative and qualitative forecasting methods. Mathematical methods covered include time series models, decomposition models, linear and multiple regression models, and may include ARIMA and data mining. (Plus-minus letter grade only.)
DS 851 Computer Simulation and Decision-Making (Units: 3)
Design and use of computer simulation models in business decision-making. Application to selected problems in various areas of business. (Plus-minus letter grade only) [Formerly BA 851]
DS 852 Managerial Decision Making (Units: 3)
Model building for business decision making through data driven analysis. Creation of spreadsheet models to identify choices, formalize trade-offs, specify constraints, perform sensitivity analyses, and analyze the impact of uncertainty. Effective spreadsheet design and use. (Plus-minus letter grade only)
DS 853 Applied Multivariate Analysis (Units: 3)
Methods of multivariate data analysis applied to business problems. Mathematical methods covered include simple and multiple regression models, logistic regression models, and time series analysis. Theory and practice within business environments. Project using real data. (Plus-minus letter grade only)
DS 854 Total Quality Systems (Units: 3)
Concepts, methods, and current practices used to ensure product and service quality: quality as a system, customer-driven quality, continuous process improvement, quality and productivity, implementation approaches, applications, and ethical issues. (Plus-minus letter grade only)
DS 855 Supply Chain Management (Units: 3)
Supply chain design, planning, and operation. Concepts of competitive strategy and sustainability; aggregate planning and management of the marketing/operations interface; inventory management and procurement strategy; design of supply chain networks; the role of information technology. [Plus-minus letter grade only]
DS 856 Seminar in Project Management (Units: 3)
The full range of issues faced by project managers. The project life cycle; technical, human, and organizational issues; planning, scheduling, and controlling the timing, resources, and costs of a project; software usage; case studies. (Plus-minus letter grade only)
DS 862 Machine Learning for Business Analysts (Units: 3)
Focus on advanced machine learning methods, including supervised and unsupervised learning techniques used to extract valuable information from quantitative and text data. Includes an overview of relevant algorithms while emphasizing business applications of the tools with a focus on commonly-used statistical software, e.g., R and Python, and how to apply the techniques learned in class. (Plus-minus letter grade)
DS 899 Independent Study (Units: 1-3)
Intensive study of a particular problem under the direction of a business analysis faculty member. Open only to graduate students of demonstrated ability to do independent work. (Plus-minus letter grade only)