Graduate Certificate in Health Products Regulation
Date duration
Application Date
1 Sep 2023 to 29 Dec 2023
Programme Period
15 Apr 2024 to 15 Nov 2024
Delivery mode
Program Description
The Graduate Certificate in Health Products Regulation Innovation program consists of 4 courses with a total of 16 units.
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GMS5003 |
Fundamentals of Health Products Regulation
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GMS5004 |
Regulation of Pharmaceutical Manufacturing
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GMS5005 |
Regulation of Advanced Therapies
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GMS5006 |
Regulation of Biotherapeutics and Biosimilars
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GMS5007 |
Regulation of Generic Medicines
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GMS5106 |
Regulation of Digital Health Products
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GMS5107 |
In-Vitro Diagnostic Devices and Precision Medicine
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GMS5114 |
Post-Market for Medical Technologies
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GMS5108 |
Clinical Studies and Evaluation of Health Products
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GMS5115 |
Principles and Frameworks for Pharmacovigilance
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GMS5116 |
Post-Market Activities for Pharmaceuticals
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Core Courses
GMS5201
Implementation Science for Health Services
Students are introduced to the principles of translating evidence for better services into a clinical setting. Students will learn processes and factors associated with successful integration of evidence-based interventions within a particular setting, assess whether the core components of the original intervention were faithfully transported to the real-world setting and gain new knowledge about the adaptation of the implemented intervention to the local context.
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GMS5202
Research Methods for Health Services
This course is about the current practice of health services research. It includes a discussion of the reproducibility crisis. The sources of data that are commonly used to address research questions are reviewed and critiqued. Finally, different approaches to assessing causality and associations are taught. An introduction to qualitative research methods is provided and students are taught about systematic reviews and meta-analyses.
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GMS5203
Health Technology Assessment, Cost-Effectiveness and Decision-making
This course is about how decisions are made about what services are provided and who receives them. Health technology assessment is a well-established tool used when decisions need to be made quickly. It is an exercise in synthesising current evidence and responding appropriately. Economic evaluation offers a theory-based approach to informing choice and trade-offs given resources are scarce. Various modelling approaches are used to complete economic evaluations. The course also covers on how hypothesis testing differs from decision making, such as disruption and non-rational processes and outcomes.
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GMS5204
Data Science + Healthcare
Students will be exposed to the foundation concepts, case studies and applications, some mathematics behind data science models and algorithms. There will be practical sessions for model development, training, validation and tests. Students will acquire new knowledge of data science techniques enabling them to make predictions about likely diagnoses, prognoses of health conditions and risks of adverse events. There will also be a mini-project and healthcare case studies to demonstrate the applicability of data science as a key enabler for improving the delivery of health services.
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The program consists of 4 courses. Eligible participants will be able to tap on the SkillsFuture Singapore (SSG) Funding Scheme*. All figures are in SGD.
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International Participants
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9% GST on Nett Course Fee
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Total Nett Course Fee Payable, Including GST
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Less Additional Funding if Eligible Under Various Schemes
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Total Nett Course Fee Payable, Including GST, after additional funding from the various funding schemes
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Note
- SSG will only fund a course once for each eligible trainee and in the event, you have to retake a course, you will not be eligible for SSG funding again.
- 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.
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* For students who are supported by SSG funding, please note that if you have taken an SSG-funded course, you would be liable to pay back the SSG training grant plus the prevailing Goods and Services Tax (GST) to NUS if you have received the grant for the course and fall into any of the following categories:
- Failure to fulfil a minimum attendance of 75% for the course
- Premature withdrawal from the course
- Failure to pass all prescribed coursework, examinations and/or assessments for the course
- 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 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.
Registration Details
You can also find out more
here.