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2024/25 Taught Postgraduate Programme Catalogue

MSc Air Quality Solutions with Data Science

Programme code:MSC-TRN/AQSFUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Dr James Tate Contact address:j.e.tate@its.leeds.ac.uk

Total credits: 180

Entry requirements:

Entry Requirements are available on the Course Search entry

School/Unit responsible for the parenting of students and programme:

Institute for Transport Studies

Examination board through which the programme will be considered:

Programme specification:

Up to 7 million people are estimated to die every year due to the harmful effects of air pollution. Degradation in air quality is now the leading environmental cause of premature mortality - exceeding deaths due to unsafe drinking water, malaria and HIV combined. Understanding the factors controlling the emission, processing and fate of air pollutants is vital to effectively mitigate these harmful effects and to assess the effectiveness of policy interventions.

Our solutions-driven Masters programme, underpinned by the latest data science and analytics, covers a broad range of air quality-related topics, including emissions, monitoring, modelling, pollution exposure, indoor air quality, health impacts, policy design and evaluation including economic appraisal. The programme will also explore the relationships between air quality and climate change. You'll be taught by academics who are experts in each of these topics and have contributed to the UK being a world leader in air policy design, delivery and evaluation.

This Masters gives you the chance to be hands-on, applying and designing air quality interventions using state-of-the-art modelling tools and appraising the expected benefits. You’ll use conventional and research-led pollution-monitoring techniques, become a skilled environmental sciences data scientist able to navigate data architectures and apply novel data analytics – all of which will build towards the knowledge and skills to underpin the independent research project you’ll undertake in the final semester. Data science training and skill development will take place within both taught modules and supplementary training sessions.

The course draws on the globally-renowned research from five Schools: the Institute for Transport Studies, the School of Earth and Environment, the School of Civil Engineering, the School of Chemical and Process Engineering and the School of Chemistry. This ensures you’re learning the latest innovations in the field, preparing you for a career in industry.

The valuable knowledge and skills you’ll acquire throughout your Masters could lead you to pursuing a career in consultancy, the public sector and regulatory bodies, non-governmental bodies, industry and further research.


Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Compulsory modules:

CIVE5995MIndoor Air Quality15 creditsSemester 1 (Sep to Jan)
SOEE5009MAir Pollution Modelling at Regional Scales15 creditsSemester 2 (Jan to Jun)
SOEE5081MAir Quality Drivers and Processes15 creditsSemester 1 (Sep to Jan)
TRAN5014MEnvironmental Science and Sustainability for Transport15 creditsSemester 1 (Sep to Jan)
TRAN5692MAir Quality Policy Design and Evaluation15 creditsSemester 2 (Jan to Jun)
TRAN5810MPrinciples of Air Quality Modelling: Local Dispersion15 creditsSemester 1 (Sep to Jan)
TRAN5911MTransport Dissertation60 credits1 Oct to 30 Sep (12mth)
TRAN5912MTransport Integrated Project15 creditsSemester 2 (Jan to Jun)

Optional modules:

You will choose 15 credits from the below in Semester 2

FOEV5003MCity Systems: Energy15 credits1 Jan to 30 Jun
SOEE5095MEnvironmental Economics and Policy15 creditsSemester 2 (Jan to Jun)
TRAN5115MSustainable Spatial Planning and Analysis15 creditsSemester 2 (Jan to Jun)
TRAN5162MGreen Logistics15 creditsSemester 2 (Jan to Jun)
TRAN5191MSystem Dynamics: Modelling Policy15 creditsSemester 2 (Jan to Jun)
TRAN5340MTransport Data Science15 creditsSemester 2 (Jan to Jun)
TRAN5630MTransport Investment Appraisal15 creditsSemester 2 (Jan to Jun)


Year2 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]


Year3 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Last updated: 09/05/2024 16:11:55

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