Data Science, Insurance, Ethical AI
Fei Huang
Senior Lecturer
Faculty of Business
School of Risk and Actuarial Studies
Courses open for Sandbox partnership
Actuarial Data Science Applications
Course Overview
This course covers the actuarial professional associateship syllabus for the data analytics process. It combines data analytics and modelling concepts with the practical applications of modern analytical tools and techniques, as well as their actuarial applications. This course covers the key iterative steps involved in building a model - business understanding, data understanding and preparation, modelling, evaluation, communication and deployment. Particular focus will be on the selection of appropriate predictive modelling techniques for a stated situation and how to evaluate the suitability of a model, taking into account business context and objectives, as well as on the communication of modelling results to a range of business decision making audiences.
Student Profile
Undergraduate final year and postgraduate students
Expected Enrolment
150
Course Start Date
T3 2024
Areas of Expertise
Looking for Partnership in:
Developing solutions for business problems using data science (statistical machine learning) techniques
- Publications