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Programmes by Topic

Program Description

Our program offers

In-Demand Skills: In today's healthcare landscape, evidence-based decisions are crucial. This program equips you with the skills to conduct high-quality economic evaluations of health innovations and econometric analyses for health-related research questions, making you a sought-after expert in the field.

Hands-On Learning: You'll receive extensive hands-on training, working with real-world examples and industry-standard software such as Stata, Microsoft Excel, and TreeAge Pro. This practical experience ensures you're job-ready upon completion.

World-Class Faculty: The program is taught by experienced faculty members from the Health Services and Systems Research (HSSR) Program at Duke-NUS Medical School, a leading institution in healthcare education and research.

Flexibility: With classes conducted in English, and flexible evening schedules via Zoom, the program is designed to accommodate your professional commitments.

Career Opportunities: Upon graduation, you'll be well-prepared to enter the fields of health economics, health outcomes research, and healthcare policy, with the potential to shape the future of healthcare.

This Graduate Certificate in Health Economic Evaluation program consists of 4 courses with a total of 16 units. You can also take each course as a standalone. 
Do contact us at lifelonglearning@duke-nus.edu.sg for any enquiries.

Course Description
GMS5221 Introduction to Health Econometrics
GMS5222 Introduction to Health Economic Modelling
GMS5223 Advanced Health Econometrics
GMS5224 Advanced Health Technology Assessment Methods
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Core Courses

GMS5221

Introduction to Health Econometrics

This course equips you with fundamental knowledge in econometric methods commonly applied in health economics and outcomes research (HEOR). These methods evaluate effectiveness of technologies, assess policies for select products/services, and quantify disease burden using real world evidence data. The course begins with basic statistical theory review and econometric analysis with the simple linear regression model in order to develop a foundational understanding of data analysis, model building, and hypothesis testing. We then extend the analyses to include multivariate controls and binary outcomes. All examples will be based on real world applications

GMS5222

Introduction to Health Economic Modelling

This course equips you 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. Introducing you 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 you understand how to implement these methods from first principles

GMS5223

Advanced Health Econometrics

This advanced course expands your econometric toolset in two key areas of HEOR: (1) modelling discrete outcomes, such as number of admissions and lengths of stay, and (2) modelling censored and non-normally distributed outcomes, such as medical expenditures. Estimation of these outcomes requires a movement away from traditional ordinary least squares (OLS) regression analysis. This course focuses on generalized linear models, count models, and models that deal with data with mass at zero or with long tails. This course also expands on techniques for causal inference, including fixed/random effect panel models, difference-in-differences, and regression discontinuity designs in efforts to minimize biases inherent in real-word evidence data.

GMS5224

Advanced Health Technology Assessment Methods

Building on key concepts introduced in the first course, this course moves students from modelling in Excel, which is necessary to ensure a basic understanding of cost-effectiveness analysis, to modelling in TreeAge Pro, which is a specialized software that offers a range of built-in functions for more sophisticated models that are easier to produce than coding in Excel although often with less transparency. Using TreeAge Pro we will expose students to probabilistic sensitivity analyses, cost-effectiveness acceptability curves, and more sophisticated modelling strategies, including microsimulation and time-to-event models.

Course Fees


Individual course costs:  $5,400.00 with subject to prevailing GST.

Note

  1. Student Service Fee (SSF): Students are required to pay an additional SGD25.70 (inclusive of GST) per semester. In the event that students do not take any courses that semester, they would not have to pay this fee.
  2. Please note that the Tuition Fee and Student Services Fee (SSF) are non-refundable and non-transferable.
  3. All requests for withdrawal must be received 6 weeks before the start of the course. Late withdrawals will be subjected to payment of the FULL course fees. Any access to learning materials (online preparatory materials and course materials) will be considered as participation and no refunds will be allowed.
  4. Please contact us for possible financial assistance.


Registration Details



You can also find out more here or contact us at lifelonglearning@duke-nus.edu.sg for any enquiries.



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