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Rsch Sch of Finance, Actuarial Studies & App Stats · ANU College of Business and Economics
This course aims to extend actuarial students' knowledge of modern analytical tools and techniques beyond those introduced in introductory actuarial courses. It further aims to to teach students how to apply this knowledge in real-life business settings, preparing them for more complex and practice specific applications which will be taught in future courses in their actuarial education. This subject provides the opportunity for exemption from the requirements of the Data Analytics Principles subject under the Actuaries Institute’s Actuary program. Such exemption depends on the grades attained in the subject.
The research-based assessment will consist of a nested project.
Learning outcomes 1, 2, 3, 4, 5, 6
The other assessment may include but is not restricted to exams, quizzes, presentations and other assessment tasks as appropriate.
Learning outcomes 1, 2, 3, 4, 5, 6
Students are expected to commit 130 hours of work in completing this course. This includes time spent in scheduled classes and self-directed study time.
Information about the prescribed textbook will be available via the Class Summary.