Overview
Key facts
The University of Leeds Transport Data Science with R course will provide tools, code, data and, above all, face-to-face teaching to answer these questions and more, with the statistical programming language R.
The data science approach opens a world of possibilities for generating insight from your transport datasets. The course is suitable for researchers in the public sector, academia and industry.
Programme Structure
Courses include:
- Origin-destination data
- OpenStreetMap data
- Other data sources
- Temporal analysis
- Spatial analysis
- Analysis and modelling
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Campus Location
- Leeds, United Kingdom
Disciplines
Transportation Engineering Data Science & Big Data View 11 other Short Courses in Transportation Engineering in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Prerequisites:
- Experience with transport planning concepts and datasets, such as origin-destination data and route networks.
- Basic programming skills in R, Python or similar.
- A laptop with R and RStudio (recommended) or a Python distribution such as Anaconda and an editor such as VS Code or Jupyter Notebook set-up.
Tuition Fees
Living costs
Leeds
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.