Course co-ordinator(s): Dr Seva Shneer (Edinburgh).
Aims:
To carry out a sustained and intensive piece of independent work on topics involving actuarial management and data science and to write a substantial report or reports that communicates the results of this work to others interested in actuarial mathematics and practice.
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: none.
Location: Edinburgh.
Semester: 3.
Syllabus:
Students can carry out projects on a variety of topics in Actuarial Management and Data Science. The project or projects should take the student beyond the courses they have already been taught and examined in on the MSc.
SCQF Level: 11.
Other Information
Help: If you have any problems or questions regarding the course, you are encouraged to contact the course leader.
Canvas: further information and course materials are available on Canvas