Masters Degrees in Software Engineering, France

The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage and processing. An increasing volume of data are daily produced by modern day industrial processes (in fields such as energy, intelligent transport systems, aviation industry and many others...), and fuelled by the rise of multimedia tools and the Internet of Things in our daily life.

OBJECTIVES:

• Combining computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address applied issues related to data processing.
• Learn how to develop methods, algorithms and software able to extract value out of huge masses of heterogonous data with several dimensions.
• Provide a cohesive blend of technical classes in data mining, software engineering, distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate recruiters.

COURSE DESCRIPTION

Students need to validate a certain amount of credits per Teaching Unit each semester. The curriculum offers great flexibility by offering many electrive courses. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.

Why study Autonomous Systems?

For anyone interested in a career related to self-driving cars, robotics or artificial intelligence, EIT Digital Masters School offers a two year master programme in Autonomous Systems (AUS).

AUS is a combination of computer science and electronic engineering. During the programme, students will gain new skills in both areas. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In electronic engineering, relevant fields are automation, control, embedded systems and communications.

Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of autonomous systems include autonomous vehicles, intelligent robots, industrial IoT and autonomous software systems.

What are the career opportunities?

At the moment, the job market looks very promising. Automotive manufacturing is a major industry in Europe and the university partners are well linked with these companies. In addition, autonomous systems are relevant in service applications and in manufacturing, logistics, shipping, mining, and recycling industries. In addition, autonomous software systems are becoming widespread in application areas, such as media, finance, customer service, and healthcare.

The university partners have an outstanding portfolio of companies in which students are sent for a 6 months internship that concludes their master thesis.

Why choose Autonomous Systems at EIT Digital?

The programme is a double degree programme, which means that you’ll study at two European universities (and countries). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes. An integral part of the second year is a Masters thesis (30 ECTS).

The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first (entry) and second (exit) year universities. Each university has a unique specialisation area, which allows students to select their own second year expert area.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

• Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
• Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
• The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
• In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
• The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Autonomous Systems?

Entry - 1st year (common courses)

• Royal Institute of Technology (KTH), Sweden
• Aalto University (Aalto), Finland
• Technische Universität Berlin (TUB), Germany
• University of Trento, (UniTN), Italy

Exit - 2nd year (specialisation) 

• Robotics and Artificial Intelligence (Aalto)
• Intelligent Autonomous Systems (KTH)
• Applications of Autonomous Systems (TU Berlin)
• Real-time perception, decision and control for autonomous driving (UniTN)
• Sensing, Communicating and Processing Big Data for Autonomous Systems (EURECOM)
• Computer Science for Autonomous Driving (ELTE)

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: [email protected], we will be happy to help.