Major code: ELEC3055

Entry points:

• Aalto University
• Royal Institute of Technology (KTH)
• Technische Universität Berlin (TU Berlin)
• University of Trento (UNITN)

Exit points with specializations:

• Aalto: Robotics and Artificial Intelligence
• KTH: Intelligent Autonomous Systems
• TU Berlin: Applications of Autonomous Systems
• UNITN: Autonomous Robotics Systems
• EURECOM: Sensing, Communicating and Processing Big Data for Autonomous Systems
• ELTE: Computer Science for Autonomous Driving

Curricula at partner universities

Professor in charge: Quan Zhou

Other professors of the major: Ville Kyrki, Arto Visala, Themistoklis Charalambous

Objectives of the programme

AUS is a combination of computer science and electrical 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  machine vision. In electrical engineering, relevant fields are automation, control, robotics, 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, instruments, industrial IoT and autonomous software systems.

Follow this link to view the Autonomous Systems Mobility map.

Courses

Entry year, autumn semester

Compulsory major courses (19-24 ECTS)

^{* ) New course starting in 2020-2021}

Compulsory I&E Courses (7 ECTS)

Optional major courses (0-5 ECTS)

Total: 31 ECTS

Entry year, Spring semester

Compulsory major courses (0-5 ECTS)

Compulsory I&E Courses (17 ECTS)

Optional major courses (7-12 ECTS)

^{*) Remark: see compulsory major courses.}

Total: 29 ECTS

Total for the whole year: 60 ECTS

Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.

Exit year, Autumn semester

Aalto specialization – Robotics and Artificial Intelligence

Compulsory major courses (4 ECTS)

Compulsory I&E Course (6 ECTS)

Optional major courses (20 ECTS)

^{*) New course starting in 2020-2021}

Total: 30 ECTS

Exit year, Spring semester

Total for the whole year: 60 ECTS

Major code: ELEC3059

Entry points:

• Aalto University
• Technical University Berlin (TUB)
• University of Rennes 1 (UR1)
• Sorbonne University (SU)
• Roayl Institute of Technology (KTH)
• University of Trento (UNITN).

Exit points with specializations:

• Aalto: Mobile Networking and Cloud Services
• KTH: Networked Intelligence
• TUB: Cloud & Distributed Computing
• UR1: Smart City Services
• SU: Smart Mobility Systems
• UNITN: Beyond 5G

Curricula at partner universities

Professor in charge: Jukka Manner

Other professors of the major: Mario di Francesco, Riku Jäntti, Raimo Kantola, Stephan Sigg, Tarik Taleb, Hong-Linh Truong, Petri Vuorimaa, Yu Xiao

Objectives of the programme

The program on Cloud & Network Infrastructures (CNI) within the EIT Digital Master School is a unique offering that provides a holistic view on network and cloud computing and combines it with a minor on innovation and entrepreneurship. Students will be equipped with profound knowledge on network management, operation, and design on the one hand and cloud service and deployment models, implementation strategies, and application design on the other. The program also focuses on future directions of cloud computing, for example, in the fields of edge and fog computing as well as blockchains and distributed ledger applications respectively.

Follow this link to view the Cloud and Network Infrastructures Mobility map.

Courses

Entry year, autumn semester

Compulsory major courses (9 ECTS)

Compulsory I&E Courses (7 ECTS)

Optional major courses (select 22 ECTS over two semesters)

Autumn courses

^{*) New course starting in 2020-2021}

Entry year, Spring semester

Compulsory major courses (5 ECTS)

Compulsory I&E Courses (17 ECTS)

Optional major courses (select 22 ECTS over two semesters)

Spring courses

Total for the whole year: 60 ECTS

Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.

Exit year, Autumn semester

Aalto specialization – Mobile Networking and Cloud Services

Compulsory major courses (14 ECTS)

Compulsory I&E Courses (6 ECTS)

Optional major courses (select 0-10 ECTS)

^{*) New course starting in 2020-2021}

Total: 30 ECTS

Exit year, Spring semester

Total for the whole year: 60 ECTS

Major code: SCI3095

Entry points:

• Aalto University
• Technical University Eindhoven (TU/e)
• Royal Institute of Technology (KTH)
• Technical University of Madrid (UPM)
• Université Côte d'Azur (UCA)
• Polytechnic University of Milan (POLIMI)
• University Paris-Saclay (UPS)
• Eötvös Loránd University (ELTE)
• University of Rennes 1 (UR1)
• University of Twente (UT)

Exit points with specializations:

• Aalto: Machine Learning, Big Data Management, and Business Analytics
• ELTE: Real-time Data Analytics
• KTH: Distributed Systems and Data Mining for Big Data
• TU Berlin: Design, Implementation, and Usage of Data Science Instruments
• TU/e: Business Process Intelligence
• UCA: Multimedia and Web Science for Big Data
• UPM: Infrastructures for Large Scale Data Management and Analysis
• UPS: Natural language Processing
• University of Trento (UNITN): Big Data Variety and Veracity
• UR1: Artificial Intelligence & Data Mining for Business Intelligence
• UT: Data Science for Persona Information

Curricula at partner universities

Academic coordinator: Wilhelmiina Hämäläinen

Other professors of the major: Rohit Babbar

Objectives of the programme

The Aalto specialization aims to provide students a versatile and diverse set of skills for managing very big data, extracting knowledge from data, learning models and making inferences, creating meaningful visualizations to interact with data, and using data-driven methods in business analytics and intelligence, as well as in other applications. These are all necessary skills to becoming a successful data scientist, one of the top professional careers world-wide. An ideal candidate to the Aalto specialization is mathematically inclined, technically proficient, has entrepreneurial spirit, and interest in solving real-life problems.

Follow this link to view the Data Science Mobility map.

Courses

Entry year, autumn semester

Compulsory major courses (19 ECTS)

Compulsory I&E Courses (7 ECTS)

Optional major courses (select at least 7 ECTS over the two semester)

Autumn courses

Entry year, spring semester

Compulsory major courses (10 ECTS)

Compulsory I&E Courses (17 ECTS)

Optional major courses (select at least 7 ECTS over the two semesters)

Spring courses

Total for the whole year: 60 ECTS

Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company. More information about Master's thesis process for Aalto entry students here.

Exit year, autumn semester

Aalto specialization – Machine Learning, Big Data Management and Business Analytics

Compulsory major courses (9 ECTS)

Compulsory I&E Courses (6 ECTS)

Optional major courses (15 ECTS)

Total: 30 ECTS

Exit year, spring semester

Total: 30 ECTS

Total for the whole year: 60 ECTS

Major code: SCI3020

Entry points:

• Aalto University
• Royal Institue of Technology (KTH)
• University Paris-Saclay (UPS)
• University of Twente (UT)
• Technical University of Madrid (UPM)
• Polytechnic University of Milan (POLIMI)

Exit points with specializations:

• Aalto: Computational Interaction
• KTH: Mobile and ubiquitous interaction
• UPS: Situated interaction
• UT: Intelligent systems
• UPM: Accessible and Adaptive Interaction
• Technical University Berlin (TUB): Multi-modal interaction
• University of Trento (UNITN): Cognitive Interaction

Curricula at partner universities

Professor in charge: Marko Nieminen

Other professors of the major: Perttu Hämäläinen, Antti Oulasvirta, Tapio Takala

Academic coordinator: Mika P. Nieminen

Objectives of the programme

Human Computer Interaction and Design (HCID) focuses on the study, design, development and evaluation of novel user interfaces and interactive systems taking into account human aspects, at the cognitive and sensory-motor levels, technological aspects, as well as business aspects.

New ICT technologies are transforming our daily lives. Smart devices (mobile phones, PDAs, tablet computers), smart products (car, navigation) and smart environments (ambient intelligence) are enabling new services such as navigation, information providing, learning, making reservations or buying of goods are delivered.

Increasingly, the interaction with these devices is not through simple buttons or keystrokes but with more flexible and intuitive interaction methods such as multi-touch, speech, gestures, and with advanced display systems such as augmented and virtual reality. Smart devices and services are also able to show intelligent behaviour recognizing intentions of the user and anticipating the user’s needs. These technologies are central in Human-Computer Interaction and Design.

The design of intuitive user interfaces, however, is not only a matter of the right technology but also a matter of good interaction design: study user’s social and cognitive behaviour in relation to using technology, taking the user as a central driver for design, designing for the right user experience, andtesting and evaluating the design within context, are keys to understanding and designing successful user experience.

Follow this link to view the Human Computer Interaction and Design Mobility map.

Courses

Entry year, autumn semester

Compulsory major courses (14 ECTS)

Compulsory I&E Courses (7 ECTS)

Optional major courses (select at least 7 ECTS over the two semesters)

Autumn courses

^{*Course currently offered during spring semester.}

Entry year, Spring semester

Compulsory major courses (15 ECTS)

Compulsory I&E Courses (17 ECTS)

Optional major courses (select at least 7 ECTS over the two semesters)

Spring courses:

^{*New course starting in 2020-2021}

Total for the whole year: 60 ECTS

Note for exit year at partner university: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.

Exit year, Autumn semester

Aalto specialization – Computational Interaction

Aalto University offers a specialisation in Computational Interaction. Students learn to apply methods from computer science, engineering, and mathematics to inform understanding of human-computer inter-action and to design and adapt human-computer interfaces. Such methods build on for instance machine learning, optimisation, statistical modelling, natural language processing, control theory, signal pro-cessing and computer vision, among others. Emerging application topics include computational and data-driven design, interactive AI, conversational agents, interactive visualisation, cognitive and behavior-al modeling, and novel user interface technology.

The specialisation is offered by the Aalto University School of Science and the Aalto University School of Electrical Engineering and it builds on internationally recognized research and education in human-computer interaction, computational intelligence in games, and advanced machine learning methods.

Compulsory major courses (11 ECTS)

^{*) Course currently offered during spring semester. If basics of machine learning have been studied at entry, choose CS-E4710 Machine Learning: Supervised Methods 5 ECTS (new course starting in 2020-2021), or select more electives.}

Compulsory I&E Courses (6 ECTS)

Optional major courses (select at least 13 ECTS)

^{** Course currently offered during spring semester.}

^{*** The course has been removed from course selection 2021-2022.}

Total: 30 ECTS

Exit year, Spring semester

Total: 30 ECTS

Total for the whole year: 60 ECTS

Major code: SCI3102

Entry points:

• KTH Royal Institute of Technology (KTH)
• Sorbonne University (SU)
• University of Trento (UNITN) 

Exit points with specializations:

• Aalto: Web-based Applications
• KTH: Mobile Visual Computing
• Budapest University of Technology and Economics (BME): High Performance Computing and Networks
• SU: Advanced Image Understanding
• UNITN: Computer Vision and Multimedia Analysis

Professor in charge: Petri Vuorimaa

Other professors of the major: Eero Hyvönen

Objectives of the programme

The main focus of the Visual Computing and Communications (VCC) technical major is on the enabling technologies for digital media systems, including technologies for generation of (interactive) media, processing and coding of media and for wired and wireless transfer and storage of media content.

Applications that use these technologies include teleconferencing, interactive multimedia applications, entertainment, computer games, telemedicine and surveillance etc. The master will be based on a systems engineering approach in order to successfully integrate media technologies in  applications such as “smart  spaces”, “health and well-being”, and “smart cities”, thematic areas of EIT Digital.

Exit year at Aalto

Aalto specialization – Web-based Applications

Autumn semester

Compulsory major courses (9 ECTS)

Compulsory I&E Courses (6 ECTS)

Optional Courses (15 ECTS)

^{*New course starting in 2020-2021}

Total: 30 ECTS

Spring semester

Total for the whole year: 60 ECTS

Introduction course is a compulsory course for all majors in Master's Programme in ICT Innovation (EIT Digital Master School). The course is divided into two editions:

1) SCI-E1011 Academic Skills (1 ECTS) for entry (1st year) Master's students

2) SCI-E1012 Career and Working Life Skills (1 ECTS) for entry (2nd year) Master's students.

According to studies, even basic knowledge in Finnish is a significant asset in the job market in Finland.

Students who have have excellent command of English, according to their personal judgement, may choose 3 credits of Finnish courses instead.

If you want to include Finnish courses in your HOPS, you have to have at least 3 ECTS of them. You can take either one Finnish course of 3 ECTS, or three courses of 1 ECTS each. The course(s) can be of any level. In addition to including the courses in your HOPS, please fill out this form and send it to ictinnovation-students(at)aalto.fi. It is not urgent, but it's mandatory. The permission for exemption will be granted with certainity.

Even if you take Academic Communication in your degree, consider taking some basic Finnish courses as extra, keeping your personal resources in mind.

Check the supply of courses in Finnish here.

KTH has a compulsory methodology & communication course in their ICT Innovation curriculum (7,5 ECTS). All entry or exit students at KTH must complete either AK2036 Theory and Methodology of Science with Applications (Natural and Technological Science) or II2202 Research Methodology and Scientific Writing. Both courses have equivalent learning outcomes to Aalto's course LC-1310 Academic Communication for MSc students. Thus, KTH students don't have to take any language course at Aalto and can select 3 ECTS more optional courses in their technical major curriculum.

•  
  • KTH entry students: Please indicate the language course (code, name, credits) you have completed on your HOPS under the section "Entry year at partner university" in your major.
  • KTH exit students: Please indicate the language course (code, name, credits) you commit to complete on your HOPS under the section "Exit year at partner university" in your major. Note: You can take a language course at Aalto as well, and you can include it in your HOPS, but the exemption does not work vice versa - even if you have a 3-ECTS language course from Aalto, KTH will not exempt you from the requirement of taking one of the above mentioned courses.

Other EIT Digital universities don't have similar compulsory courses, but Aalto exit students who have completed an intermediate / advanced level language course at their entry university can contact the Learning Services of the programme (ictinnovation-students(at) aalto.fi) for the possibility of using this course for the compulsory foreign language course requirement.

If you have completed your Bachelor degree at Aalto or some other Finnish higher education institution, you have probably completed the compulsory foreign language course as part of that degree. Please check your degree certificate and transcript with the programme's study coordinator (not necessary for Aalto Bsc students). You don't have to take the compulsory foreign language course in this programme and instead, you can select 3 ECTS more of optional courses in your technical major curriculum.

In the compulsory foreign language studies the focus is on the key written and oral skills needed in the world of work and in the student’s own field of study. The language studies are at an intermediate to advanced level, at a CEFR level of B1–B2 or higher. B2 is the level required for English. All compulsory foreign language courses are to be taken in a single language.

Courses that meet the degree language requirements are marked (o) for oral skills, (w) for written skills, or (o,w) for both. Check the course offerings to see which ones meet the foreign language requirement of your degree.

Further information on relevant courses and methods to complete them is available from the Language Centre: Compulsory Foreign Language

Compulsory I&E courses during the entry year and entry summer

Compulsory I&E course during the exit year

Total: 30 ECTS

EIT Digital’s mission is to drive digital innovation and develop entrepreneurial talents in order to enhance both economic growth and the quality of life across Europe. An important activity of EIT Digital is providing IT and engineering students with state-of-the-art excellence in key digital technology combined with strong expertise in innovation and entrepreneurship (I&E). Within the EIT Digital Master School, students follow a two-year programme, with each year spent in a different university in a different country.

More information about the Summer Schools is available on EIT Digital Academy's website.