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Research School of Management · ANU College of Business and Economics
This course builds on the material introduced in introductory Business Information Systems courses by covering how business analytics and business intelligence can be used for improved the operations of digital businesses. Contemporary forms of analytics such as visual, text, sentiment, web, and social are covered in the course, as well as established technologies like decision support, knowledge management, collaborative and expert systems.
Typical assessments may include, but is not restricted to: in-class exercises, written and oral assignments, quizzes, examinations, group project tasks, oral presentation, and other assessment deemed appropriate to show attainment of the learning outcomes set for the course. Further details will be made available via the Class Summary.
Learning outcomes 1, 2, 3, 4, 5, 6, 7
Students taking this course are expected to commit 130 hours to complete the work, which will typically include class attendance, course reading, research, writing and assessment work. This course is offered in intensive delivery mode as a continuous block over a shorter period of time. Other Information This course is only available to students enrolled in the MDTE - Master of Digital Transformation & Entrepreneurship and studying in Zhejiang, China. For students in other programs, the related course is INFS8210 - Business Analytics .
Information about the prescribed textbook (if any) will be made available via the Class Summary.