Mathematical Modelling for Transport

Leeds University Business School

Postgraduate

In Leeds

Price on request

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Description

  • Type

    Postgraduate

  • Location

    Leeds

  • Start date

    Different dates available

Mathematical models are fundamental to how we understand, analyse and design transportation systems, but these models face challenges from the rapidly changing nature of mobility.
Innovative technologies are being harnessed to deliver new approaches to transport services, and huge volumes of data create new opportunities to examine how patterns of movement are evolving.
If you’re a highly numerate graduate with a desire to apply your quantitative skills to the real world, or a practitioner working in the sector, this course will take you to the next level and prepare you for a career as a transport modelling specialist.
97% of our graduates find employment in a professional or managerial role, or continue with further studies.*
Experience a course designed in collaboration with employers, learning skills the industry desperately needs to unlock the full potential of big data.
Learn to think creatively, beyond the standard application of established solutions, and use your technical expertise across multiple scenarios.
Develop and apply mathematical models to analyse and improve the performance of transportation networks and flows:
Use mathematical models to represent transport systems and forecast demand
Test solutions and strategies using different models
Apply optimisation algorithms to traffic networks
Develop computer code to enhance and visualise outputs
Critically evaluate and adapt existing modelling techniques
Write scientific reports for technical and lay audiences
Develop research and advanced scholarship skills
And experience what it is like to be part of a project team working across disciplinary boundaries within the transport sector. Through this, gain insights into how modelling, environmental science, planning, economics and engineering can work together to develop sustainable solutions to global challenges. This industry-inspired approach will enable you to apply your knowledge to real-world issues in the field. gain a new qualification...

Facilities

Location

Start date

Leeds (North Yorkshire)
Maurice Keyworth Building, The University Of Leeds, LS2 9JT

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A bachelor degree with a 2:1 (hons) in a relevant subject such as Mathematics, statistics, or a science/engineering degree with substantial quantitative/mathematical content (e.g. physics, computer science).
Graduates from other disciplines and those with professional qualifications plus experience in the sector will also be considered.
We accept a range of international equivalent qualifications. For information contact the ITS admissions team.
English language requirements.
IELTS 6.5 overall, with no less than 6.0 in any component the University's online application...

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Reviews

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Networks
  • Algorithms
  • Design
  • Global
  • Project
  • Systems
  • Industry
  • Team Training

Course programme

Alongside specialist modules, study common modules that will address key issues currently facing transport industry professionals. These provide you with a holistic overview of transport problems and approaches to policy formulation.

Our new Transport Integrated Project module enables you to employ project management scenario-based learning. You will cover a range of transport disciplines and be supervised by experts in the field. Join forces with a project team of other students from our other degrees to develop a solution to a ‘real-world’ transport problem, identifying how your own interests need to interact effectively with others to achieve an effective solution.

You will learn about the methods and models used in transport analysis and the software packages that implement them. You will be trained to think creatively, beyond the standard application of established ‘solutions’ and learn how to use your technical expertise as a mathematical modeller in interdisciplinary teams. Being equipped with these skills will open up a range of future career paths, whether in government, consultancy, academia or going on to further study.

The core of the programme includes the following compulsory modules, which have been designed together to enhance the learning potential of this programme:

  • Concepts and Mathematics for Modelling Transport – examines how transport systems can be modelled and the methods, assumptions, tools and algorithms involved (Semester 1).
  • Transport Modelling in Practice – applies the theory covered above to realistic example scenarios. Includes use of state-of-the-art commercial software (Semester 1).
  • Transport Data Science – how to manage, interrogate and visualise ‘big data’, and incorporate it into transport modelling (Semester 2).

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

Compulsory modules

  • Shaping Future Transport Systems 15 credits
  • Concepts and Mathematics for Modelling Transport Systems 30 credits
  • Transport Data Science 15 credits
  • Transport Modelling In Practice 15 credits
  • Transport Dissertation 60 credits
  • Transport Integrated Project 15 credits
Optional modules
  • System Dynamics: Modelling Policy 15 credits
  • Global Transferability of Policies, Models and Methods 15 credits
  • Choice Modelling and Stated Preference Survey Design 15 credits
  • Transport and Urban Pollution 15 credits

For more information on typical modules, read Mathematical Modelling for Transport MSc Full Time in the course catalogue

For more information on typical modules, read Mathematical Modelling for Transport MSc Part Time in the course catalogue

Learning and teaching

The programme involves a range of teaching methods, supported by independent learning. In addition to the traditional lecture and seminar formats, students experience a blend encompassing workshops, computer exercises, practical sessions, directed reading, reflective journal, student-led discussions and tutorials.

Assessment

Assessment is equally varied and will include coursework essays, case-study reports, group assignments, posters, presentations and exams.

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Mathematical Modelling for Transport

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