Master’s Programme in ICT Innovation is a European double degree programme for students who want to know both the technical and entrepreneurial aspects of information and communications technology. The ICT Innovation programme follows the general structure of the EIT Digital Master School. It is a full-time two-year 120 ECTS master’s programme, combining a 90 ECTS technical part with a 30 ECTS standardised module on Innovation and Entrepreneurship (I&E). The programme is completed by studying at two different universities in two countries. Graduates will receive a Master’s degree from both universities. Aalto University offers four majors within the ICT Innovation programme.

The Master’s Programme in ICT Innovation (EIT Digital Master School) is a European double degree programme for students who want to learn about both the technical and business aspects of information and communications technology. The programme syllabus binds together solid technical courses in computer science and software engineering with business development skills. 

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.

Entry points:

• Aalto University
• Royal Institute of Technology (KTH)
• University of Trento (UNITN)
• Université Côte d'Azur (UCA)
• Budapest University of Technology and Economics (BME)

Exit points with specializations:

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

Major code: ELEC3055

Professor in charge: Quan Zhou

Other professors of the major: Ville Kyrki, Arto Visala, Dominik Bauman

Aalto specialization – Robotics and Artificial Intelligence

Major studies (24 ECTS)

* ^{More information at Language studies.} 

I&E minor studies (6 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

Master's Thesis (30 ECTS)

EIT Digital guidelines and programme-specific instructions for master's thesis can be found here.

Total for the whole year: 60 ECTS

The Autonomous Systems and Intelligent Robots (AUSIR) study programme 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, machine learning, artificial intelligence and machine vision. In electrical engineering, relevant skills are automation, robotics, 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 and intelligent robots include autonomous vehicles, advanced robots in manufacturing and healthcare, industrial IoT, autonomous devices in agriculture, home automation, and scientific instruments. The applications of autonomous systems also extend to software systems used in energy management and in other sectors.

Entry points:

• Aalto University
• Budapest University of Technology and Economics (BME)
• Eötvös Loránd University (ELTE)
• Royal Institute of Technology (KTH)
• University of Bologna (Unibo)
• University of Trento (UNITN)
• Université Côte d'Azur (UCA)

Exit points with specialisations:

• Aalto: Intelligent Robots and Systems
• BME:Autonomous Robots and Vehicles
• KTH: Intelligent Software for Autonomous Systems
• UNITN: Intelligent Transportation Systems and Robots
• EURECOM: Sensing Big Data for Intelligent Robots
• ELTE: Machine Learning for Robotics
• Unibo: Autonomous Systems and Robotics for Smart Industry and Intelligent Mobility

Autonomous Systems and Intelligent Robots mobility map.

Curricula at partner universities.

Major code: ELEC3071

Professor in charge: Quan Zhou

Other professors of the major: Ville Kyrki, Arto Visala, Dominik Bauman

Curricula at partner universities

Major studies (36 ECTS)

^{* Language courses are offered in all periods. Entry students are recommended to take a language course in the spring semester. More information at Language studies.} 

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

I&E minor studies (24 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

The focus of the Aalto I&E minor is on entrepreneurship in ICT. Summer school is completed in the summer following the entry year, and counted towards the entry year studies. More information about summer schools is available on EIT Digital's website.

Total for the whole year: 60 ECTS

Major code: ELEC3071

Professor in charge: Quan Zhou

Other professors of the major: Ville Kyrki, Arto Visala, Dominik Bauman

Curricula at partner universities

Aalto specialization – Intelligent Robots and Systems

Major studies (24 ECTS)

^{*More information at Language studies.} 

I&E minor studies (6 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

Master's Thesis (30 ECTS)

EIT Digital guidelines and programme-specific instructions for master's thesis can be found here.

Total for the whole year: 60 ECTS

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.

Entry points:

• Aalto University
• University of Rennes 1 (UR1)
• Roayl Institute of Technology (KTH)
• University of Trento (UNITN)

Exit points with specializations:

• Aalto: Mobile Networking, 5G, Sustainability and Cloud Services
• KTH: Networked Intelligence
• UR1: Smart City Services
• UNITN: Beyond 5G/6G and High Performance Computing

Cloud and Network Infrastuctures mobility map. 

Curricula at partner universities.

Major code: ELEC3059

Professor in charge: Jukka Manner

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

Curricula at partner universities

Major studies (36 ECTS)

^{* Language courses are offered in all periods. Entry students are recommended to take a language course in the spring semester. More information at Language studies.}

I&E minor studies (24 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

The focus of the Aalto I&E minor is on entrepreneurship in ICT. Summer school is completed in the summer following the entry year, and counted towards the entry year studies. More information about summer schools is available on EIT Digital's website.

Total for the whole year: 60 ECTS

Major code: ELEC3059

Professor in charge: Jukka Manner

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

Aalto specialization – Mobile Networking, 5G, Sustainability and Cloud Services

Major studies (24 ECTS)

^{*More information at Language studies.} 

I&E minor studies (6 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

Master's Thesis (30 ECTS)

EIT Digital guidelines and programme-specific instructions for master's thesis can be found here.

Total for the whole year: 60 ECTS

Data Science (DSC) is a multidisciplinary discipline of extracting knowledge from all kinds of data, including structured and unstructured, often very large, and computationally demanding data. It employs theories and techniques from the traditional fields of computer science, information sciences, statistics, and mathematics. 

In the DSC programme within the EIT Digital Master School, students learn fundamental principles, techniques, and versatile skills for computational data analysis, scalable data processing and management. After completing the programme, they have all necessary skills for becoming a successful data scientist, one of the top professional careers world-wide. Given a new real world problem, they can identify the underlying computational problems, choose suitable data preprocessing, analysis and modelling methods, tailor and apply the existing algorithms as needed, evaluate validity of the results, and interpret and present them to experts of other fields. In addition, there are many electives that allow students to specialize on certain areas, like computer vision, speech and language processing, social network analysis, algorithm design, scalable computing, and management of big data.

Entry points:

• Aalto University
• Eötvös Loránd University (ELTE)
• Royal Institute of Technology (KTH)
• Technical University of Madrid (UPM)
• Polytechnic University of Milan (POLIMI)
• Université Côte d'Azur (UCA)
• University of Rennes 1 (UR)
• University of Twente (UT)
• University of Turku (UTU)

Exit points with specializations:

• Aalto: Machine Learning and Large Scale Computing
• BME: Human-centred intelligent data analysis
• ELTE: Real-time Data Analytics
• KTH: Large Scale Data Mining
• UCA: Multimedia and Web Science for Big Data
• UPM: Infrastructures for Large Scale Data Management and Analysis
• UNITN: Big Data Variety and Veracity
• UR: Artificial Intelligence & Data Mining for Business Intelligence
• UT: Data Science for Persona Information
• UTU: Medical Data Science

Data Science Mobility map.

Curricula at partner universities.

Major code: SCI3115

Academic coordinator: Wilhelmiina Hämäläinen

Curricula at partner universities

Major studies (36 ECTS)

^{* Language courses are offered in all periods. Entry students are recommended to take a language course in the spring semester. More information at Language studies.}

I&E minor studies (24 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

The focus of the Aalto I&E minor is on entrepreneurship in ICT. Summer school is completed in the summer following the entry year, and counted towards the entry year studies. More information about summer schools is available on EIT Digital's website.

Total for the whole year: 60 ECTS

Major code: SCI3115

Academic coordinator: Wilhelmiina Hämäläinen

Curricula at partner universities

Aalto specialization – Machine Learning and Large Scale Computing

Major studies (24 ECTS)

^{*More information at Language studies.} 

^{**The course codes may have additional numbers in the end. Search for these courses with the general code in Sisu.}

I&E minor studies (6 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

Master's Thesis (30 ECTS)

EIT Digital guidelines and programme-specific instructions for master's thesis can be found here.

Total for the whole year: 60 ECTS

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, and testing and evaluating the design within context, are keys to understanding and designing successful user experience.

Entry points:

• Aalto University
• Royal Institute of Technology (KTH)
• University of Twente (UT)
• Technical University of Madrid (UPM)
• Polytechnic University of Milan (POLIMI)

Exit points with specializations:

• Aalto: Cross-Device Interaction
• KTH: Physical Interaction Design and Realization
• UT: Intelligent systems
• UPM: Accessible and Adaptive Interaction
• UNITN: Cognitive Interaction

Human Computer Interaction and Design Mobility map.

Curricula at partner universities.

Major code: SCI3020

Academic coordinator: Mika P. Nieminen

Other professors of the major: Marko Nieminen, Petri Vuorimaa, Arto Hellas

Curricula at partner universities

Major studies (36 ECTS)

^{* Language courses are offered in all periods. Entry students are recommended to take a language course in the spring semester. More information at Language studies.}

I&E minor studies (24 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

The focus of the Aalto I&E minor is on entrepreneurship in ICT. Summer school is completed in the summer following the entry year, and counted towards the entry year studies. More information about summer schools is available on EIT Digital's website.

Total for the whole year: 60 ECTS

Major code: SCI3020

Academic coordinator: Mika P. Nieminen

Other professors of the major: Marko Nieminen, Petri Vuorimaa, Arto Hellas

Curricula at partner universities

Aalto specialization – Cross-Device Interaction

Aalto University offers a specialisation in Cross-Device Interaction with courses on various design and user interface development techniques embarking from web and mobile development towards post-desktop interactions with virtual or augmented reality. Human interaction capabilities and goals largely remain the same even if the used interaction device and implementation methods evolve. 90’s early experimentations with mobile code (Java) have changed to responsive design and mobile-first culture of information consumption. Through developments in sensors, algorithms, and computer graphics we are waiting for the consumer break-through of augmented reality and 3D user interfaces.

Major studies (24 ECTS)

^{*More information at Language studies.}

^{**This is a University of Helsinki course that needs to be transferred by applying credit transfer.} 

I&E minor studies (6 ECTS)

Coordinator in charge: Olli-Pekka Mutanen

Master's Thesis (30 ECTS)

EIT Digital guidelines and programme-specific instructions for master's thesis can be found here.

Total for the whole year: 60 ECTS

You are required to complete 3 ECTS in one foreign language (including both oral (o) and written (w) proficiency). In the Master’s Programme in ICT Innovation, we recommend 

• for entry students the English course LC-1317 Integrated Project Communication for MSc students (o,w). 
• for exit students the English course LC-1310 Academic Communication for MSc Students (o,w).

Taking any other course may lead to problems of recognition at the partner university. POLIMI and UPM do not recognize any other language courses than the recommended ones above. 

Students, whose language of education is not Finnish or Swedish, may alternatively complete an elementary course in Finnish or in Swedish (3 ECTS). The courses in national languages can be at any level on CEFR scale. 

The compulsory foreign language course may also be completed at the partner university (KTH) under certain circumstances. See more information below. 

Language studies are agreed in the personal study plan (HOPS). Language centre offers language studies. 

You have fulfilled the compulsory language requirements in the respective degree or received the exemption. You do not need to complete language studies in the master's degree, but you can select 3 ECTS more optional courses in your technical major curriculum.

You must

• demonstrate proficiency in national languages by writing the maturity test in your language of education (Finnish or Swedish) and complete the language proficiency tests (2 ECTS) in the other national language. Read more about the language of education here. You may also apply for an exemption of demonstrating proficiency in national languages.
• complete 3 ECTS in one foreign language (including both oral (o) and written (w) proficiency).

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. Note that you can take a language course at Aalto as well and include it in your degree, but 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(a)aalto.fi) for the possibility of using this course for the compulsory foreign language course requirement.