Air pollution represents a global health challenge and is directly contributing to climate change. It is present in both outdoor and indoor environments. To address air pollution effectively, we need to fully understand the complex mix of pollutants.
This micro-credential provides valuable insight into air pollutants, focusing on how we measure and assess the challenge at individual, local, national, and global levels. The course provides learners with the skills to effectively monitor campaigns, perform informed assessment studies, and design or select appropriate control technologies and strategies to improve air quality.
This micro-credential will appeal to working professionals in the public or private sector responsible for air quality monitoring and assessment, with responsibilities in air quality reporting, or who have a role in air pollution mitigation and adaptation in either the indoor or outdoor environment.
Interested learners will be introduced to the field of air pollution science, identifying the current challenges and key background knowledge in the provision of clean air for society and the environment.
How will this Micro-credential be delivered?
This micro-credential is available as hybrid learning with:
On successful completion of this micro-credential, learners will be able to:  
HCI Pillar 3 Learner Fee Subsidy: Candidates who meet the eligibility criteria may qualify for an 80% fee subsidy, subject to the availability of subsidized places.
For eligibility details, please refer to the Eligibility Criteria.
| College | Trinity College Dublin |
| Course ID | 168775 |
| Course Location | Dublin |
| Location Postcode | Dublin 2 |
| Course Type | Micro-credential |
| Awarding Body | Trinity College Dublin |
| Awarding Body Details | 5 ECTS |
| Course Start Date | 8th September 2025 |
| Course Duration | 12 weeks |
| Course Fee | €1,560 |
| Entry Requirements | Application Deadline: 12th August 2025 Applicants must have a 2.1 grade in a level 8 degree in Engineering or a cognate discipline. |
| Course Code | DPEEG-APMA-1M09 |

This course is offered subject to minimum registration numbers.
Addressing the scarcity of training in data science in Ireland and co-created with key industry partners, the Applied Social Data Analysis CPD programme trains participants in the fundamental knowledge and skills of social data analysis.
This evening course will run subject to sufficient numbers enrolling – there will be a limited number of places available.
Addressing the scarcity of training in data science in Ireland and co-created with key industry partners, the Applied Social Data Analysis CPD programme trains participants in the fundamental knowledge and skills of social data analysis.