GMS5222 Introduction to Health Economic Modelling
Date duration
Programme Period
5 Feb 2025 to 30 Apr 2025
Delivery mode
Program Description
This course aims to equip students with basic skills required to perform their own cost-effectiveness analyses of health technologies and to critically assess the quality of evaluations conducted by others. This course introduces students to key concepts of economic evaluation and decision-analytic modelling, and covers methods for measuring and valuing health gains and costs. We focus on two models commonly used in cost-effectiveness analyses in healthcare: namely decision trees and Markov models. The course will include hands-on-training on building and analysing both types of models in Microsoft Excel so students understand how to implement these methods from first principles.
By the end of the course, you will be able to:
- Be able to describe different types of economic evaluation methods and how to value health gains and costs
- Be able to interpret outputs from cost-effectiveness analysis to make recommendations of adoption or improvements
As part of the micro-credential initiative, you may choose to take this course alone if you do not wish to take the full Graduate Certificate program.
Course Fees
This course costs SGD5,400 before any subsidy. Do enquire with your CV so that we can evaluate the subsidy quantum.
Note
- Student Service Fee (SSF): Students are required to pay an additional SGD25.70 per semester. In the event that students do not take any courses that semester, they would not have to pay this fee.
- Please note that the Tuition Fee and Student Services Fee (SSF) are non-refundable and non-transferable.
- All requests for withdrawal must be received 6 weeks before the start of the workshop for the course. Late withdrawals will be subjected to payment of the FULL course fees. Any access to learning materials (online preparatory materials and workshop materials) will be considered as participation and no refunds will be allowed.
Do contact us at
lifelonglearning@duke-nus.edu.sg for any enquiries.