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Imperial College London: Transport with Data Science and Mathematical Optimisation
| Institution | Imperial College London |
|---|---|
| Department | Civil and Environmental Engineering |
| Web | https://www.imperial.ac.uk |
| admissions.enquiries@imperial.ac.uk | |
| Telephone | 020 7594 2207 |
| Study type | Taught |
Summary
Understand the fundamental concepts and techniques for the planning, design, management and delivery of transport infrastructure on this one-year course.
You will develop an understanding of machine learning and statistical optimistation to solve complex engineering design problems, working effectively as a group.
You'll learn how to evaluate transport projects and policies, taking into account the political, social, environmental, commercial and financial issues involved.
Utilising data science and optimisation skills, you will conduct a piece of independent research that demonstrates a contribution to knowledge in a research area of interest.
Further develop your understanding on road and rail transport in industrialised countries. You'll also consider contexts in less industrialised countries where transport problems persist.
This course will equip you for further PhD research in this specialist area, or a future career in transport planning, engineering, operations, management, policy or research.
You have the option of choosing between two streams. You should consider which stream is right for you according to your career aims and background. If an offer of admission is made, it will correspond to a specific stream. Switching streams is not possible once you have commenced your studies.
Transport Transport with Data Science and Mathematical Optimisation (this stream)
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | 2:1 in civil engineering, natural sciences, earth sciences or other numerate disciplines. A suitable grounding in mathematics is required, e.g. A-level grade B or higher. We also accept a wide variety of international qualifications. |
| Location | South Kensington Campus Exhibition Road Kensington and Chelsea SW7 2AZ |
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