MSc Transport with Data Science at Imperial College London

Specialise in analysing large volumes of transport data and in developing models for efficient, sustainable, and resilient transport systems. 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.

Faculty: Faculty of Engineering  |  Department: Department of Civil and Environmental Engineering  |  Duration: 1 year, 2 years  |  Study mode: full-time, part-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include Transport Infrastructure and its Context, Statistical Modelling, Traffic Engineering, Machine Learning, Transport Economics and Demand, Sustainable Transport, Rail and Mass Transit Systems.

Career pathways

Graduates from our Department go on to succeed in a range of sectors such as construction, civil engineering, design engineering, engineering consultancy, sustainability and sustainable design, water resource engineering, environmental engineering, disaster management, structural and architectural design, infrastructure monitoring, materials manufacturing, geotechnical engineering, and renewable energy. Typical roles include Structural Engineer, Civil Engineer, Design Engineer, Product Manger, Environmental Consultant, Construction Manager, Geotechnical Engineer, Graduate Hydrologist.

Official programme page