Transport with Data Science and Mathematical Optimisation
The Master of Science in Transport with Data Science and Mathematical Optimisation offers a one-year, full-time program that blends advanced mathematics with transport engineering. Students will study topics such as traffic flow modeling, transportation systems optimization, and the application of data science in transport planning. The program prepares students to use data analytics and mathematical methods to improve the efficiency, sustainability, and safety of transport systems.
Graduates will be equipped with the skills to work in urban planning, transportation consulting, or government agencies, focusing on optimizing transport networks and reducing congestion. The program’s emphasis on data science and mathematical optimization ensures that students are ready to tackle complex problems in the transportation sector.
Key information
Key Facts
- Program Title: Master of Science in Transport with Data Science and Mathematical Optimisation
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: June 30, 2026
- Location: Imperial College London, United Kingdom
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Transport and Mathematical Optimisation
• Transport Systems and Policy
• Applied Data Science for Transport
• Mathematical Optimisation Methods
• Simulation and Modelling Techniques
• Research Methods in Mathematics
Semester 2 – Advanced Applications & Independent Research Project
• Network Optimisation and Traffic Management
• Big Data Analytics for Transport
• Decision Support Systems
• Independent Research Project / Case Study
• Professional Skills Development and Presentation
Career Opportunities
Graduates of this program are prepared for careers in transport planning, data analytics, and optimisation. They gain expertise in mathematical modelling, data-driven decision-making, and transport system analysis, making them suitable for roles in government agencies, transport consultancies, urban planning organisations, and research institutions. The program also provides a foundation for PhD studies or specialist analytic roles, enabling graduates to contribute to optimising transport networks, improving mobility solutions, and analysing large-scale transport data. Graduates leave with the ability to design efficient transport systems, implement optimisation strategies, and apply data science to solve real-world transport challenges.
Why Choose This Program
This program is ideal for students seeking a specialized understanding of transport systems and mathematical optimisation. It combines theoretical foundations, practical data analysis, and research-led projects, allowing students to develop skills in modelling, optimisation, and decision-making. Students benefit from mentorship by experts in transport and mathematics, access to real-world datasets, and hands-on project experience, preparing them for careers in transport analytics, consultancy, urban planning, or further academic studies. Upon completion, graduates are equipped to analyse transport networks, optimise system performance, and make data-driven decisions for sustainable mobility.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
