DSOM 211 Business Analytics I Credits: 3
Business Analytics I is an engaging, interactive course, ensuring the student has relevant, useful analytic skills applicable in both coursework and workplace. The student will learn in an interdisciplinary fashion, by analyzing practical business scenarios from Accounting, Finance, Marketing, Operations, and Supply Chain Management. The student will become proficient in spreadsheet use for data administration, analysis, and visual presentation. The statistical analysis focus in Business Analytics I is on descriptive and predictive measures, equipping the student for analysis, reporting, and business forecasting.
Prerequisites: MATH 110 or ALEKS score of 61 (or higher).
DSOM 309 Intermediate Business Statistics Credits: 3
This course emphasizes statistical applications in business, and students will complete research projects using one or more multivariate statistical techniques. Topics covered will include statistical software (such as SAS or SPSS), multiple regression, Chi-Square, analysis of variance, non-parametric methods, multidiscriminant analysis, factor analysis, and a brief introduction to structural equation models.
DSOM 311 Business Analytics II Credits: 3
Business Analytics II explores data science, including database access/query, big data, cloud computing, and the internet of things (IoT). The student will consider business ethics, information security, and privacy concerns in today’s virtual/gig economy. The student will learn to integrate data from outside sources into various platforms, including Excel, Tableau, and Domo. The student will learn prescriptive analytics and will practice useful optimization methods. Practical interdisciplinary business exercises will draw from Accounting, Finance, Marketing, Operations, and Supply Chain Management, for future use.
Prerequisites: DSOM 211 and completion of 45 hours.
DSOM 326 Production/Operations Management Credits: 3
This course presents an introduction to the concepts, models, and methods of operations management. Students will study approaches to planning, scheduling, and controlling product and service facilities, processes, cost, quality, quantity, production, capacity, inventory, and distribution requirements. Computer applications and computer-based operations control systems will be introduced as a means to effectively manage the operations functions of both product and service organizations.
DSOM 340 Supply Chain and Operations Management Credits: 3
The student will become familiar with and appreciate the concepts, models, methods, and technologies of supply chain and operations management in modern enterprises. Students will become familiar with the integrated view of procurement, operations and logistics management. Students will also understand the management of the flow of products from raw material sourcing and acquisition through delivery to the final user. Students will also become familiar with the modern technologies used in supply chain and operations management.
DSOM 346 Management Analysis Credits: 3
This course examines the application of various scientific and mathematical methods to decision making in management, and makes use of spreadsheets and other software to construct and analyze practical methods of real-world systems. Applications will be based on topics such as project management, decision analysis, scheduling, queuing systems, simulation, optimization/allocation models, forecasting, and profitability analysis.
DSOM 431 Quality and Process Improvement Credits: 3
A study of planning and managing effective quality and processes in organizations. Students are expected to master important quality management and process improvement tools including Six Sigma, Statistical Process Control, TQM, Theory of Constraints, and other contemporary tools via appropriate software, case studies, and projects.
DSOM 487 Special Topics Credits: 3
Special topics in decision science and operations management.