Transport with Data Science MSc

Program Overview

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This MSc program in Transport with Data Science focuses on analyzing large volumes of transport data and developing models for efficient, sustainable, and resilient transport systems. It equips students with the skills to plan, design, manage, and deliver transport infrastructure, emphasizing machine learning and statistical optimization. Graduates are prepared for careers in transport planning, engineering, operations, management, policy, and research. The program is accredited by the Engineering Council and provides a pathway to Chartered Engineer status.

Program Outline

It aims to equip students with the core knowledge and analytical skills to address challenges across the transport landscape.

• Gain proficiency in machine learning and statistical optimization to solve complex engineering design problems.
• Learn how to evaluate transport projects and policies, considering political, social, environmental, commercial, and financial factors.
• Conduct independent research using data science and optimization skills, demonstrating a contribution to knowledge in a research area of interest.
• Enhance understanding of road and rail transport in industrialized countries and explore transport challenges in less industrialized contexts.
• Prepare students for further PhD research in this specialized area or a future career in transport planning, engineering, operations, management, policy, or research.

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Outline:

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Structure:

• The program is a one-year, full-time course.
• Students can choose between two streams: MSc Transport and MSc Transport with Data Science.
• Statistical Modelling: Develops the theory, methodology, and computational techniques required for formulating and implementing statistical models to represent real-world phenomena.
• Traffic Engineering: Provides a fundamental understanding of traffic engineering basics and their application to traffic control methods.
• Machine Learning: Offers a comprehensive understanding of the three main subfields of modern machine learning and teaches implementation using programming languages.
• Transport Planning and Policy: Analyzes the concepts and methods fundamental to transport planning and policy, emphasizing their role within integrated land use-transport modeling.
• Sustainable Transport: Explores the link between transport and pollution, introducing innovations for sustainable transportation.
• Rail and Mass Transit Systems: Covers the core principles governing major public transport modes, exploring the history and role of rail in supporting sustainable development.
• Freight Transport and Logistics: Provides a solid understanding of freight transport operations and mathematical modeling techniques for managing large-scale supply chains.
• Intelligent and Autonomous Transport: Explores vehicle connectivity and automation, cloud computing, artificial intelligence, and the maintenance of intelligent transport systems.
• Group Design Project: Provides an opportunity to work in teams and further develop technical knowledge to produce a significant piece of transport engineering design.
• Data Engineering: Offers practical experience in constructing and validating models and algorithms, equipping students with advanced computational skills for solving complex civil engineering problems.

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Research Project:

• Students complete an independent research project exploring a specialized transport issue under the supervision of an academic staff member.

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Assessment:

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Balance of Assessment:

• 60% Assessed coursework
• 40% Examinations (practical and written)

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Assessment Methods:

• Individual and group coursework
• Written exams
• Research dissertation and poster
• Group projects and presentations
• Lab report summaries
• Design projects

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Teaching:

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Teaching and Learning Methods:

• Lectures
• Tutorials
• Group work
• Computer sessions
• Online quizzes
• Presentations and seminars
• Workshops
• Individual research project
• Team building projects

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Careers:

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Potential Career Paths:

• Transport planning
• Engineering
• Operations
• Management
• Policy
• Research

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Opportunities:

• Graduates are highly sought after for employment in diverse areas.
• The program prepares students for further study in master's programs or doctoral research.

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Outcomes:

• Graduates develop essential communication, management, and problem-solving skills.
• The program equips students with the skills necessary for PhD research.

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Other:

• The MSc degree is accredited by the Joint Board of Moderators (JBM) on behalf of the Engineering Council.
• The degree meets the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired a partial CEng accredited undergraduate first degree.
• The accreditation agreement with members of the JBM is renewed every five years.
• The program is delivered by the Department of Civil and Environmental Engineering at Imperial College London.

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Home fee: £17,600

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Overseas fee: £40,900

Your fee is based on the year you enter the university, not your year of study.

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Which fee you pay:

Whether you pay the Home or Overseas fee depends on your fee status. For courses starting on or after 1 August 2024, the maximum amount is £12,471. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.