MSc Transport

(Both tracks: MSc in Transport, MSc in Transport with DS)

This core module is a comprehensive introduction to the fundamentals of the transportation system, the context in which it operates, and its relationship with the built environment. In addition, the module content provides you with the basis for the rest of the MSc Programme. 

Read the full module descriptor. 

(Part of the MSc in Transport track)

This module will provide you with a comprehensive introduction to key analytical methods used in transport research. Both quantitative and qualitative methods will be introduced, including coverage of relevant theories, methodologies, and computational techniques. The module will teach you how to summarise and analyse the information contained in different data types using appropriate software and programming languages, thus enabling you to represent and investigate real-world phenomena.

Read the full module descriptor. 

(Part of the MSc in Transport with DS)

This module will provide you with a comprehensive understanding of statistical modelling fundamentals from a theoretical and applied viewpoint. It will develop the relevant theory, methodology and computational techniques required for you to formulate and implement statistical models to represent real-world phenomena. The course will also teach you how to program statistical models in the R programming language using both R and the RStudio graphical user interface (GUI). A pre-requisite for this course is that you must have a sufficient background in mathematics, including algebra, matrix algebra, and multivariate calculus.

Read the full module descriptor.

(Both tracks: MSc in Transport, MSc in Transport with DS)

This module will provide you with a comprehensive understanding of the basics of traffic engineering, including macroscopic fundamental diagrams (MFD), shockwaves and queueing theory and the principles of traffic microsimulation. You will also learn how to apply these theories in designing traffic signal control, determining optimal speed limits, and detecting traffic congestion (recurrent and non-recurrent) from operational data. Finally, you will practice the design strategies and principles relating to urban parking management and safety standards that reduce the negative impacts of traffic.

Read the full module descriptor. 

(Part of the MSc in Transport track)

This module will provide you with a rigorous mathematical understanding of the fundamental theories underlying models of travel demand and transport supply. You will also develop your knowledge of how to apply the models appropriately and in a theoretically consistent manner to the evaluation and appraisal of transport policies. Various aggregate and disaggregate modelling techniques will be considered in modelling consumer demand and transport economics, including discrete choice models and stated preference methods for market evaluation, cost-benefit analysis, and welfare maximisation. You will be introduced to software tools and their application for modelling travel behaviour, demand and supply characteristics.     

Read the full module descriptor. 

This module will provide you with a comprehensive understanding of machine learning concepts and their application to civil engineering applications. It will cover the three principal subfields of modern machine learning, namely supervised, unsupervised and reinforcement learning. Application examples will be drawn from a broad range of civil engineering applications, including transport. The module will also teach you how to implement machine learning models using the Python programming language, using common numerical analysis libraries (such as NumPy), and specialised tools, such as scikit-learn and PyTorch.

Read the full module descriptor. 

(Both tracks: MSc in Transport, MSc in Transport with DS)

This module aims to provide you with a thorough overview of concepts and methods fundamental to transport planning and policy, including 4-stage travel demand models of trip generation, trip distribution, mode choice, and traffic assignment. You will learn to apply these models through a set of practical problems and case studies and gain experience in data handling and estimation. The module will also introduce key policy issues in the context of future mobility. You will apply state-of-the-art methods to address these, including time-of-day and activity-based models. At the end of the module, you will be able to develop and use travel demand models and their outputs to appraise transport policy and understand their role within the broader context of integrated land use-transport modelling.

Read the full module descriptor. 

(Part of the MSc in Transport track)

This module focuses on safety and security in transportation. It recognises that modern transportation involves a complex interaction between technology, procedures and human actors who are part of a larger organisation.  In this module, you will be introduced to key analytical methods that include both quantitative methods, such as crash statistical analysis and vulnerability analysis of transport systems, and qualitative methods, including the assessment of the impact of legislation on transport safety.        

Read the full module descriptor. 

(Both tracks: MSc in Transport, MSc in Transport with DS)

Our transport systems are critical to our way of life. They enable the movement of people and goods, enabling economic activity and development. Yet emissions from transport contribute to climate change and degrade air quality in our cities. In this module, you will understand how transport is linked to energy, climate change, air pollution and noise pollution. In addition to these core concepts, you will be introduced to specific modes of transport (active travel, aviation, road, and shipping) and innovations critical to making transportation more sustainable.

Read the full module descriptor. 

(Both tracks: MSc in Transport, MSc in Transport with DS)

The module content is designed to provide you with a rich understanding of the operation, planning, policy and infrastructure of rail and mass transit systems, drawing on extensive international experience. The module will teach you principles that govern all major modes of public transport, as well as the specifics of delivering rail, metro and bus services and their infrastructure. You will appreciate how economic considerations will define service provision in practice. The module will explore the past, present and future of public transport and its role in supporting sustainable development.

Read the full module descriptor. 

(Both tracks: MSc in Transport, MSc in Transport with DS)

This module provides you with a comprehensive introduction to the air transportation system by following the trajectory of an aircraft as it pushes off from its gate at its origin until coming to a stop at its destination. Further to understanding the technologies involved and the critical importance of human actors ensuring the safe control of the flight, the impact of international regulations and governance in aviation will be highlighted. Finally, the module introduces unmanned aerial systems (UAS) and their increasing incorporation into urban air traffic in a safe and controlled manner.

Read the full module descriptor. 

(Part of the MSc in Transport with DS track)

This module will provide you with practical experience in constructing and validating models and algorithms and the necessary advanced computational skills to enable you to apply this knowledge to solving a range of complex civil engineering problems. The module includes: (1) construction, implementation, and validation of machine learning algorithms; (2) deployment of advanced machine learning libraries to solve complex problems from a broad range of civil engineering applications; (3) coverage of different machine learning approaches; (4) the operation of developer environments; (5) database development; and (6) advanced data manipulation and data visualization techniques. The module will be taught using the Python programming language and will build upon a broad range of established modelling libraries.

(Part of the MSc in Transport with DS track)

Module descriptor and course code TBC.

Read the full module descriptor. 

Read the full module descriptor. 

The industry will play a large role in the programme, including:

• Delivering guest lectures
• Supervising the design projects
• Co-supervision and placements as part of the MSc Dissertation project
• Providing scholarships/sponsorships

We have also consulted Engineers within the industry during the design of the programme itself, such that it helps meet their needs and also equips graduates will all the necessary tools for entering the workforce.

The programme will be taught in excellent, modern facilities including:

• Intelligent Infrastructure and Transport Systems Laboratory
• Lecture rooms
• Computer laboratories
• Civil Engineering library 
• Breakout Student Space (BOSS)

Yes, there are Departmental and other scholarships available for the very best students. If you are interested in receiving a scholarship, then early application is strongly recommended. 

Visit this webpage for information about scholarships and funding opportunities.

We are a group of academics and researchers that are leading experts in Transport. We excel at teaching and research, and we are looking forward to teaching the next breed of leading Transport Engineers and Practitioners.

https://www.imperial.ac.uk/transport-studies/people/

You can visit our section page for more information on the full breadth of our activities, including research and major projects. https://www.imperial.ac.uk/transport-studies/research/

Assessments include individual and group coursework; design projects; oral presentations; written examinations, and a research dissertation. To complete the requirements of the degree, all assessments must be undertaken to the appropriate level. Successful candidates will be awarded the MSc degree from Imperial College London

Information on how to apply and the link to apply can be found here: Application Information

• A good Upper Second or First Class Degree result (or International equivalent), in engineering or another numerate discipline, or Masters level degree qualification
• Good mathematical skills (B or above at A-level or equivalent qualification)
• Relevant Postgraduate industrial experience is favoured
• English Language qualification (where relevant)

Please also check that your previous study meets the minimum academic requirements by country index. 

Note: The Department may set higher requirements than those specified by the College as minimum entry requirements and that places are not guaranteed for any applicant.  Relevance of degrees and eligibility can be checked with the Department.  

Applicants for whom English is not their first language will be required to present an English language qualification, passed at the appropriate level. This may follow the application if not available at the time of submission. Please see the College English language requirements for postgraduate applicants for information. Please also check that your previous study meets the minimum academic requirements by country index. 

Please visit the international students website for more information: https://www.imperial.ac.uk/study/international-students/visas-and-immigration/