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Overview
The Urban Data Science and Analytics programme at the University of Leeds will combine technical training in the latest data science techniques – from data wrangling to machine learning, visualisation, and beyond – with the critical thinking needed to interrogate and understand complex urban and mobility challenges.
At the heart of this course will be a commitment to tackling the real-world challenges facing cities.Researchers at the University of Leeds are finding novel data-driven solutions to tackle challenges such as traffic congestion, social and economic equality, healthy cities, and competition for resources.
This means, once you graduate, you’ll be fully equipped with the experience, technical skills, and knowledge needed to pursue a career in this area, with roles in everything from data science to software development or urban planning.
Career opportunities
Data science and analytics have become crucial to many industries worldwide, meaning demand for qualified specialists in this field has grown exponentially in recent years – with no signs of slowing down.
This course will teach you the in-depth technical knowledge and skills in data science along with training in workflow practice, teamwork, and ‘hacking’ that’s highly sought after by employers and will prepare you for an exciting career in industry. You'll also build an online portfolio of work developed throughout the course which will demonstrate your skills to prospective employers.
On completion of this course, you will have the technical knowledge to secure employment in local government, companies handling spatial data (eg. supermarkets, retail), start-ups, transportation authorities and operators, urban planners and consultancies (eg. Arup, Mott MacDonald) in roles such as a data scientist data analyst or software developer.
Programme Structure
- Semester one
In the first term, the course will introduce you to the theory and application of urban data science, through two complementary modules: Data Science for Urban Systems, and Analysing Cities. The first of these will provide a foundation in data science training, combining real-world data sets, analytics.
- Semester two
The second term will build and expand upon this knowledge. The Analytics for Urban Policy module will explore the key considerations in using data science across a range of urban policy areas and address how these policies result in tangible change.
- Semester three
Over the summer months you will work on a 60-credit dissertation-style research project, which brings together learning from each module, requiring you to produce a documented code workbook with a supporting 5000-word practical briefing, highlighting how data science methods can be used to inform policy interventions and decision-making.
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
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Language
English
IELTS 6.5
TOEFL® IBT 88
Credits
180 alternative credits
Delivered
On Campus
Disciplines
Geography Data Science & Big Data Urban Planning View 136 other Masters in Urban Planning in United KingdomAcademic requirements
GPA Upper Second Class
English requirements
IELTS 6.5
TOEFL® IBT 88
Other requirements
General requirements
- A bachelor degree with a 2:1 (hons) in a relevant subject. Those with a background in geography, urban planning, transport, or computer science, or who can demonstrate good quantitative and/or computing skills, are particularly encouraged to apply.
Tuition Fee
Living costs for Leeds
637 - 1103 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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