Dear Colleagues,

The Massive Open Online Course on Health Systems Strengthening: Next iteration starts 25 November!

We’ll be starting the course again next 25 November 2019, but learners can still choose to sign up to this current version of the course over the next few weeks, where they’ll benefit from the great discussions to which you’ve probably already contributed.

Specially designed for busy professionals, participants will explore the complexity of health systems and apply systems thinking to health systems strengthening (HSS). Participants will critique major health system frameworks, analyze health system inequities, and interrogate the evidence for HSS approaches. 
Participants will be equipped with the knowledge and skills to develop HSS interventions across areas such as health policy, health financing, human resources, supply chain management, quality of care and private sector engagement.

Based on the UNICEF blended learning program for UNICEF staff that we aim to continue offering in 2020 and 2021, this free new course gives now the opportunity to governments and partner organizations to build capacities of their own staff, either as standalone modules or in facilitated training settings.

The course will run on a rolling basis several times per year. Participants will receive a free certificate of completion from the University of Melbourne and UNICEF upon completion of the course.

The course has been developed in collaboration among UNICEF, the Nossal Institute for Global Health at the University of Melbourne and FutureLearn.

Joint now at:  



Felix Emeka Anyiam


Research Officer & Data Analyst/Scientist

Centre for Health and Development

University of Port Harcourt (UNIPORT)

Top Floor, Medical Library Building

University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt

River State, Nigeria.


 Skype ID: @felix.emeka.anyiam

tel: +234 (0) 806 499 5462                                                    


 I don't mind not knowing.  It doesn't scare me.  - Richard Feynman

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. -Ronald A. Fisher.


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