
Overview
Enhance Your Career Prospects with Autonomous Systems
From self-driving cars to robotic assistants, the Internet of Things, and AI-based software solutions – the future is autonomous. However, as an emerging technology, autonomous systems hold both opportunities and risks. The key to navigating this potential minefield is to not only understand the technology itself but, more importantly, be able to confidently evaluate autonomous processes and maximise the trade-off between business impact and resources spent.
This is where EIT Digital comes into play. With the Autonomous Systems programme at EIT Digital Master School, you’ll have the skills – and confidence – to drive the transition to autonomous systems.
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, both of which are located at an EIT Digital hot spot.
The first year of this Autonomous Systems programme is similar at all entry points, with a focus on basic courses that lay the foundation for the chosen technical programme. Students are also introduced to business and management during this first year. During the second semester, a design project is combined with business development exercises to demonstrate how technology can be transformed into a successful business. Students are also taught how to prepare and present a convincing business plan. Students have the option to take elective courses.
In between the first year and the second year, our summer school programme addresses business opportunities within a socially relevant theme.
Programme Structure
Courses include:
- Digital and Optimal Control
- Robotics
- Modelling, Estimation and dynamic systems
- Control and automation
Audience
If you wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of:
- Electrical Engineering / Electronics
- Computer Engineering
- Computer Science
- Information Technology
- Industrial Engineering
- Students should have basic competence in programming, data structures and algorithms, and mathematics including calculus, algebra, and mathematical statistics.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
- 1st phase: until 3rd of February
- 2nd phase: 9th Feb - 11th of April
- 3rd phase: 19 April 2022 - 9 May 2022
Language
Credits
Delivered
Disciplines
Robotics Computer Sciences Machine Learning View 10 other Masters in Machine Learning in FinlandAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Applicants must have completed a Bachelor’s degree encompassing a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university.
- All our programmes are taught in English.
- As a result, applicants must provide proof of their English language proficiency. This is generally verified through an internationally recognized test such as TOEFL or IELTS. We advise all applicants considering submitting an application to take either a TOEFL or an IELTS test as they are accepted by all partner universities.
Tuition Fee
-
International
14000 EUR/yearTuition FeeBased on the tuition of 14000 EUR per year during 24 months. -
EU/EEA
3000 EUR/yearTuition FeeBased on the tuition of 3000 EUR per year during 24 months.
Living costs for Helsinki
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
No separate application form for the EIT Digital Scholarship is needed. When you apply to the EIT Digital Master School in the application portal, you will only be asked to confirm whether you apply for an EIT Digital Master School scholarship.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
This programme is taught in different countries. Which country are you interested in?
- Finland
- France
- Hungary
- Italy
- Sweden