Intelligent Transport Systems and Logistics
Well-designed transport and logistics systems are fundamental to individual mobility, commerce, welfare and economic growth. With ever-increasing volumes of traffic and goods, future transport systems face a huge challenge: How to balance the need for speedy, efficient and sustainable transport with the negative impacts of congestion, pollution and fatalities? The answer lies in a tighter integration of telecommunications and information technology. Autonomous driving is already a reality, and the electrification of roads has begun. Vehicles are connected to each other and to the infrastructure in smart cities, enabling the collection of all sorts of data for analysis and management of movements of people and goods.
Traffic and Logistics
Through a multi-disciplinary approach, you will acquire engineering and managerial skills to understand, develop and control future transport and logistics systems. You will use optimisation and simulation tools and study mobile communication, positioning systems, road safety, and project management.
For the second and third semester you may specialise towards Traffic or Logistics:
- Traffic
The analysis of travel patterns and traffic flows in order to design well-functioning traffic systems using computer-based models.
- Logistics
Supply chain planning and modelling. How the flow of products, services and information between producers and customers can be optimised to satisfy supply and demand in the most efficient way possible.
You may also pick and mix courses from both areas, or add courses in Smart Cities or Internet of Things. The final semester is dedicated to your thesis which is usually written in close collaboration with a company, city, or government body.
Frontline research
You need strong skills in mathematics and an analytical mind – programming experience is a distinct advantage. You will carry out group-based lab practicals and project work. Many courses are continuously assessed through hand-in assignments and reports. Oral and written communication is an integral part of the programme, to prepare students for international management positions.
- ECTS transcript – If you are still completing your Bachelor’s degree, upload an ECTS transcript showing the subjects you have studied, your grades, and the number of credits awarded. Your Bachelor’s diploma must be uploaded later, as soon as you receive it.
- Bachelor’s diploma – If you have already graduated, upload your Bachelor’s diploma. A separate ECTS transcript is not required.
Note: Your Bachelor’s degree must be in the same or a related field as the Master’s programme you are applying for. The university will check whether you have completed enough relevant subjects and ECTS credits.
Important! View the full requirements on the university’s official website. Requirements may vary depending where you completed your bachelor education.
Note:
- A motivation letter and a recommendation letter are NOT required documents when applying to the programmes at this university.
Applicants have to prove their English language skills either by an internationally recognized language test or upon previous studies. Usually English language skills can be proved by the following documents:
- TOEFL iBT*
- IELTS Academic
- A Cambridge English qualification
- Higher education degree completed in English
- Secondary education completed in English in a country or school qualification accepted by the university
- An English subject and grade on your secondary school leaving certificate that meet the university’s requirements
- Other
Important: Accepted methods and minimum results depend on study programme and the country where you completed your education. Check the official requirements for your chosen study programme.
*Use the Kastu promo code LTU1000102 when registering for TOEFL iBT and receive a 5% discount.
Selection will be based on academic merits.
- Bachelor's degree with a major in an engineering subject, or equivalent.
- 22 ECTS credits in mathematics/applied mathematics and/or application of mathematics relevant for the programme, including courses in linear algebra, calculus and mathematical statistics.
