Cooperative Intelligent Transport Systems MSc | Middlesex University London
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Cooperative Intelligent Transport Systems MSc

Learn about the course below
Code
PGI115
Start
Autumn 2020
Duration
1 year full-time
2 years part-time
Attendance
Full-time
Part-time
Fees
£9,500 (UK/EU) *
£13,900 (INT) *
Course leader
Dr Glenford Mapp

This course is no longer accepting applications for 2019 entry. The next entry is 2020.

Traffic congestion in the UK costs over seven billion pounds per year and Cooperative Intelligent Transport Systems (C-ITS) can provide urgent solutions both nationally and globally. C-ITS is set to be the next transport revolution and Middlesex University is at the heart of C-ITS research and deployment in the UK. This masters degree will give you the expert knowledge and enhanced skills to work in this fast developing industry sector.

Why study MSc Cooperative Intelligent Transport Systems at Middlesex University?

This course has been exclusively designed for those currently working in fields such as transport researchers and engineers, mobile communication experts, Cloud System administrators, city planners, or those involved in Smart City deployments.

Our academics are currently involved in C-ITS research and have contributed to vital research papers meaning your teaching and learning will contain a wealth of up-to-date and relevant knowledge as well as the latest practical skills.

We have strong industry links and will support you to pursue individual placement opportunities in a range of institutions such as:

  • Department for Transport (DfT)
  • Transport for London (TfL)
  • Local Transport Authorities (York, Birmingham, Oxford)
  • Key Universities including Kings College London, Birmingham City University.

Course highlights

  • C-ITS is the future of transport and this course is the first of its kind in the UK
  • You’ll benefit from a comprehensive course of both theoretical and practical knowledge
  • You will acquire key skills in mobile communications, Cloud Administration, machine learning, AI algorithms and implementing a C-ITS network.

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What will you study on MSc Cooperative Intelligent Transport Systems?

During this course you will study the importance of transport to the national and global economy and therefore the need for Cooperative Intelligent Transport Systems (C-ITS). You will explore the mechanisms to build and deploy C-ITS including mobile communications and vehicular networks. You will also investigate how data from the vehicular network is stored and processed using Cloud systems and how applications and services are implemented to provide better traffic congestion algorithms using machine learning and AI techniques.

What will you gain?

You will have the ability to analyse how the benefits of C-ITS can be used to provide new transportation systems that will enlarge regional, national and global economies. You will gain the skills to design, build and implement new C-ITS networks including vehicular networks, Cloud Systems that can used to store and access data, and new traffic management algorithms. You will also have considerable experience in C-ITS using the MDX Connected Vehicle Testbed.

  • Modules

    • Shaping the Future of Transport (15 credits) - Compulsory

      This module looks at current transport systems and how traffic congestion results in a £7.9 billion pounds loss of productivity every year. You will also explore how developing C-ITS would help us gain in productivity and global wealth.

    • Vehicular Networks (15 credits) - Compulsory

      This module examines the mechanisms to build vehicular networks which includes the protocols, message formats and the units deployed to interact with vehicles.

    • Mobile Communications (30 credits) - Compulsory

      This module explores the fundamentals of mobile communications. You will focus on propagation models and how seamless connectivity is achieved in vehicular environments.

    • Secure Applications and Services for Vehicular Networks (15 credits) - Compulsory

      This module looks at how applications and services can be implemented leading to a feature-rich environment.

    • Traffic Management (15 credits) - Compulsory

      This module details how traffic is monitored and how mechanisms such as Knowledge-Based Engineering, machine learning and AI are used to build new traffic management algorithms.

    • Virtualisation and Cloud Computing (30 credits) - Compulsory

      This module investigates the deployment of Cloud systems and services for vehicular systems which form a key back-end component of C-ITS.

    • Individual Project (60 credits) - Compulsory

      In this module, you will complete a major individual project around C-ITS including projects within government bodies, local authorities or major transport companies.

You can find more information about this course in the programme specification. Optional modules are not offered on every course. If we have insufficient numbers of students interested in an optional module, or there are staffing changes which affect the teaching, it may not be offered. If an optional module will not run, we will advise you after the module selection period when numbers are confirmed, or at the earliest time that the programme team make the decision not to run the module, and help you choose an alternative module.

How is the MSc Cooperative Intelligent Transport Systems taught?

All taught modules will have weekly lectures as well as seminars and labs. You will examine current trends and latest developments in C-ITS and be taught practical skills. There will also be visits to key transport companies and local authorities such as Transport for London (TfL).

Assessment

You will be assessed via multiple choice tests, group presentations and reports. You will also undertake exams for the Mobile Communications and Virtualisation and Cloud Computing modules. The other modules will be assessed via coursework.

  1. UK & EU
  2. International
  3. How to apply
  1. UK & EU
  2. International
  3. Additional costs

How can the MSc Cooperative Intelligent Transport Systems support your career?

This course will equip transport researchers and engineers to be involved in the next revolution in transport. You will be able to further your career in a range of roles in a variety of sectors such as:

  • Transport project manager for C-ITS
  • Transport Lead for Smart City
  • Mobile Communications Engineer for Vehicular Networks
  • Cloud administrator for Transport Networks

Dr Glenford Mapp
Programme leader

Dr Mapp is Head of C-ITS Research at Middlesex University and is one of the world-leaders in heterogeneous networking and vehicular networks.

Dr Arindam Ghosh
Lecturer

Dr Ghosh has been involved in building the Connected Vehicle Testbed which will be used in this course.

Miltos Petridis
Head of Computer Science Department

Professor Petridis is an expert in transport systems and rail transport in particular.

Dr Ramona Trestian

Dr Trestian is an expert on mobile communications including 5G and has authored several books on Mobile Communications.

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