In 2050, the world population is expected to have passed nine billion inhabitants, with 75% in cities. With this continuous movement towards the city, cities face great social, economic and environmental challenges. This rapid urbanization also affects urban transport. It is common to find congested roads, with a high impact on the city in terms of noise and chemical pollution. In this context, it is necessary to find ways to face transport-related challenges without influencing the economic and social growth of cities.
In December 2020, the European Commission presented its "Sustainable and Smart Mobility Strategy" which, together with an action plan of 82 initiatives, aims to guide the European transport system towards an ecological and digital transformation, with the ultimate goal of being more resistant to future crises. With this, it is intended to reduce greenhouse gas emissions by 90% by 2050, thanks to an intelligent, competitive, safe, accessible and affordable transport system. The Commission clarifies that by "intelligent" it means, among other things, the use of data and artificial intelligence.
The Government of Spain, for its part, also assigns maximum importance to smart mobility, forming this part of its National Plan for Smart Cities, and including the challenge "sustainable, smart, connected and integrated transport" within the public aid of its State R + D + i Program Oriented to Challenges of Society, among other examples.
Therefore, the application of artificial intelligence to intelligent mobility is a matter of maximum international interest with a high social impact.
Governments are investing resources to develop solutions based on artificial intelligence to solve the mobility problems that cities have. In order to do this, a specialist profile in artificial intelligence for urban mobility problems is required, which is what this course aims to train.
Smart mobility occupies a central place in the policy of the European Commission and the Government of Spain. In addition, the course is aligned with the digital transformation postgraduate strategic line of the International University of Andalusia, which mentions smart cities.Access RequirementsThis degree provides engineers and scientists with professional skills and the ability to analyze urban mobility problems and propose solutions based on artificial intelligence. It is suitable for graduates in Computer Engineering, Telecommunications Engineering, Civil Engineering, Industrial Engineering, Mathematics, and Physical Sciences. It is recommended that you have programming knowledge in Java and Python.Admission CriteriaIn the event that the number of applications exceeds the number of places offered, the allocation of places will be made in accordance with the following criteria:Proficiency in Java and Python programming languages: 40%
Academic training in the field of knowledge of the degree (computer engineering, telecommunications engineering, civil engineering, industrial engineering, mathematics and physical sciences): 40%
Academic record of the degree that gives access to the degree: 20%.Academic programThe Diploma has a total of 30 ECTS, which are distributed in the following Modules:Module I: Fundamentals (9 ECTS)
Module II: Technologies (18 ECTS)
Final Project (3 ECTS)