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UW TACOMA
BUSINESS ADMINISTRATION (TACOMA CAMPUS)
BUSINESS ANALYTICS (UW TACOMA)

Detailed course offerings (Time Schedule) are available for

TBANLT 510 Business Analytics (4)
Focuses on foundations of data and analytics-driven decision making. Explains the concepts with innovative uses of information systems, data, information, knowledge and analytics to support managerial decision-making. Explores how to collect, store, manage and convert data to information, knowledge and actionable insights.
View course details in MyPlan: TBANLT 510

TBANLT 520 Analytics Strategy and Big Data Management (4)
Focuses on how organizations need to make analytics part of their organizational strategy, and how they can implement analytics projects successfully by following sound project management principles. It focuses on strategy definition, initiating, planning, executing, controlling and completing analytics projects in a variety of environments for sustainable competitive advantage.
View course details in MyPlan: TBANLT 520

TBANLT 530 Business Process and Workflow Analysis (4)
Focuses on how organizations can evaluate, design and implement sound business process management practices, and integrate analytics into their business processes and workflows for maximum performance.
View course details in MyPlan: TBANLT 530

TBANLT 540 Applied Regression Models (4)
Focuses on statistical foundations of decision making processes. Topics will include, but are not limited to: multiple linear regression, models for quantitative and qualitative predictors, building regression models, autocorrelation, non-linear regression, piecewise linear regression, inverse prediction, weighted least squares, ridge regression, robust regression and non-parametric regression.
View course details in MyPlan: TBANLT 540

TBANLT 550 Analytical Decision Making (4)
Focuses on the skills and knowledge necessary for mastery of the use of quantitative modeling tools and techniques to support decision analysis. Some of the deterministic optimization techniques (e.g. linear, nonlinear, integer optimization, network models) and uncertain decision making techniques (e.g. decision trees, transportation models, queuing theory) are covered.
View course details in MyPlan: TBANLT 550

TBANLT 560 Data Mining (4)
Focuses on some of the primary data mining topics (descriptive, predictive and prescriptive) through advance analysis of datasets. Students will become acquainted with both the strengths and limitations of various data mining techniques like Classification, Association analysis and Cluster analysis.
View course details in MyPlan: TBANLT 560

TBANLT 570 Text Mining (4)
Focuses on some of the primary mining techniques for analyzing text data. These will be used to discover interesting patterns, extract useful knowledge, and support decision making. Topics like natural language processing, document representation, text categorization, text clustering and topic modeling will be covered.
View course details in MyPlan: TBANLT 570

TBANLT 580 Social Media Analytics (4)
Focuses on some of the primary concepts, methods, tools and solutions to develop a social media strategy, and to collect, process and transform social media data into information processes, knowledge, actionable decisions and processes. It also covers how organizations make use of social media as a strategy to gain a competitive advantage.
View course details in MyPlan: TBANLT 580

TBANLT 585 Cognitive Analytics (4)
Focuses on foundations of cognitive analytics. Evaluate the concepts with innovative uses of cognitive solutions to either solve existing business problems or create new business opportunities, and improve the performance of organizations. Analyze how to utilize cognitive tools, assistants, collaborators and coaches effectively.
View course details in MyPlan: TBANLT 585

TBANLT 590 Special Topics in Business Analytics (2-4, max. 4)
Advanced course offerings designed to respond to faculty and student interests and needs. Topic will vary. Only offered when allowed by faculty availability and sufficient student interest. Content to be announced in advance of scheduled offerings.
View course details in MyPlan: TBANLT 590

TBANLT 591 Applied Project: Digital Transformation Lab I (2)
Focuses on how to apply the concepts, methods and solutions associated with data, analytics, smart machines and digital solutions to real opportunities in an application domain. Topics will include, but are not limited to: analysis of organization and market demand, business model development, opportunity analysis for digital transformation.
View course details in MyPlan: TBANLT 591

TBANLT 592 Applied Project: Digital Transformation Lab II (2)
Focuses on processes performed to analyze and plan digital transformation and innovation to a wide variety of opportunities and challenges. Topics will include, but are not limited to: requirements gartering, defining scope, risk analysis, detailed transformation and technology planning.
View course details in MyPlan: TBANLT 592

TBANLT 593 Applied Project: Digital Transformation Lab III (2)
Focuses on processes performed to design and develop data and digital solutions to a wide variety of opportunities and challenges. Topics will include, but are not limited to: collection, storage, analysis of data and development of digital solutions.
View course details in MyPlan: TBANLT 593

TBANLT 594 Applied Project: Digital Transformation Lab IV (2)
Focuses on processes performed to prototype data and digital solutions to a wide variety of opportunities and challenges. Topics will include, but are not limited to: develop, prototype and lessons learned, analyze findings, recognize ethical dilemmas and social responsibilities.
View course details in MyPlan: TBANLT 594

TBANLT 600 Independent Study or Research (2-4, max. 4)
Provides an opportunity to work independently exploring specific data and business analytics topics in greater depth. The student must develop a research proposal and make arrangements with a faculty member to supervise the project prior to course registration. permission of faculty is required.
View course details in MyPlan: TBANLT 600

TBANLT 601 Internship (2-4, max. 4)
Provides students with practical knowledge and experience in a private or public work environment. Gives students opportunities to develop a strategic plan under faculty guidance, and to perform field work utilizing the skills developed in the classroom. Permission of faculty is required.
View course details in MyPlan: TBANLT 601