Master's Programme in ICT Innovation
Curriculum 2018–2020
Programme structure
- Major 60 ECTS
- 20–30 ECTS Mandatory major courses, including the mandatory language studies
- 30–40 ECTS Elective and Specialized major courses
- Master's thesis 30 ECTS
- Innovation & Entrepreneruship Minor 30 ECTS
Please note that this is a double degree programme implemented through international collaboration which is why its structure may deviate from the regular structure of the Master’s Degree Programme in Computer, Communication and Information Sciences.
Degree(s) awarded |
Master of Science (Technology) from Aalto University |
---|---|
Majors | Autonomous Systems (ELEC3055) |
Cloud and Network Infrastructures (ELEC3059) | |
Cloud Computing and Services (SCI3081) | |
Data Science (SCI3095) |
|
Digital Media Technology (SCI3023) | |
Embedded Systems (SCI3024) | |
Human-Computer Interaction and Design (SCI3020) |
|
Software and Service Architectures (SCI3082) | |
Visual Computing and Communication (SCI3102) | |
Minor |
Innovation & Entrepreneurship (SCI3039) |
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 of these universities. Aalto University offers seven majors within the ICT Innovation programme.
A degree equivalent to a Bachelors degree of 180 ECTS credits. The specific admission requirements vary for each major. The language of instruction of the programme is English. The applicants must have an excellent command of English. For further information on admission, application deadlines and English language proficiency, please see www.masterschool.eitdigital.eu.
Language courses for all majors
According to the degree regulations at Aalto University, students must take at least 3 ECTS of foreign language studies for the degree. In Master’s Programme in ICT Innovation the students have the option to choose between an English course, fulfilling both oral and written requirements (o,w) or at least 3 ECTS of Finnish courses. We recommend the English course LC-1310 Academic Communication for MSc Students for everyone. Taking the Finnish course(s) as part of the degree requires an application for exemption from the foreign language course requirement. More information here.
Introduction course for Master's students
The SCI-E1010 Introduction for Master's students is a compulsory course for all majors in Master's Programme in ICT Innovation (EIT Digital Master School). The course consists of two parts:
1) Academic Skills (1 ECTS) intended for 1st year Master's students
2) Career and Working Life Skills (1 ECTS) intended for 2nd (final) year Master's students.
Mobility of students
First year universities are called entry universities and second year universities are exit universities. Some universities are only available as either entry or exit points. Please check from each major/programme which entries and exits are available.
Majors
The ICT Innovation Master's programme offers five majors. The majors are listed below.
- Autonomous Systems
- Cloud Computing and Services (not available as of 2020)
- Cloud and Network Infrastructures
- Data Science
- Digital Media Technology (not available as of 2019)
- Embedded Systems (not available as of 2020)
- Human-Computer Interaction and Design
- Software and Service Architectures (not available as of 2018)
- Visual Computing and Communication
All the majors include a minor in Innovation & Entrepreneurship.
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: Real-time perception, decision and control for autonomous driving
- EURECOM: Sensing, Communicating and Processing Big Data for Autonomous Systems
- ELTE: Computer Science for Autonomous Driving
Professor in charge: Quan Zhou
Other professors of the major: Ville Kyrki, Arto Visala
Objectives of the programme
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.
Courses
Entry year, autumn semester
Compulsory major courses (24 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Academic Skills | 1 ECTS |
ELEC-C1320 | Robotics | 5 ECTS |
ELEC-E8101 | Digital and Optimal Control | 5 ECTS |
ELEC-E8103 | Modelling, Estimation and Dynamic Systems | 5 ECTS |
CS-E3210 |
Machine Learning Basic Principles |
5 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Courses (7 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
Digital Business Management |
4 ECTS |
Total: 31 ECTS
Entry year, Spring semester
No compulsory major courses
Compulsory I&E Courses (17 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Startup Experience |
9 ECTS |
|
Global Business in the Digital Age |
4 ECTS |
|
ICT Innovation Summer School |
4 ECTS |
Optional major courses - select 12 ECTS
Code |
Course name |
ECTS credits | Semester |
---|---|---|---|
ELEC-E8105 | Non-linear Filtering and Parameter Estimation | 5 ECTS | Spring |
ELEC-E8111 | Autonomous Mobile Robots | 5 ECTS | Spring |
ELEC-E8115 | Micro- and Nano Robotics | 5 ECTS | Spring |
ELEC-E8123 | Networked Control Systems | 5 ECTS | Spring |
ELEC-E8126 | Robotic manipulation | 5 ECTS | Spring |
ELEC-E8408 | Embedded Systems Development | 5 ECTS | Spring |
ELEC-E5710 | Sensors and Measurement Methods | 5 ECTS | Spring |
MS-E2112 | Multivariate Statistical Analysis | 5 ECTS | Spring |
ELEC-E8127 | Special assignment in automation technologies | 1-10 ECTS | Autumn/Spring |
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 courses (4 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Course (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Specialisation Electives: select 20 ECTS over the two semesters
Code | Course name | ECTS credits | Semester |
---|---|---|---|
ELEC-E8104 | Stochastic models and estimation | 5 ECTS | Autumn |
ELEC-E8116 | Model-Based Control Systems | 5 ECTS | Autumn |
ELEC-E8125 | Reinforcement learning | 5 ECTS | Autumn |
ELEC-E7120 | Wireless Systems | 5 ECTS | Autumn |
CS-C3180 | Software Design and Modelling | 5 ECTS | Autumn |
CS-E4850 | Computer Vision | 5 ECTS | Autumn |
CS-E4890 | Deep Learning | 5 ECTS | Spring |
CS-E4830 | Kernel Methods in Machine Learning | 5 ECTS | Spring |
CS-E5710 | Bayesian Data Analysis | 5 ECTS | Autumn |
Total: 30 ECTS
Exit year, Spring semester
Code | Course name | ECTS credits |
---|---|---|
EEA.thes |
Master’s Thesis |
30 ECTS |
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
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.
Courses
Entry year, autumn semester
Compulsory major courses (9 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Academic Skills | 1 ECTS |
Mobile Cloud Computing |
5 ECTS |
|
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Courses (7 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
Digital Business Management |
4 ECTS |
Elective major courses - select 22 ECTS over two semesters.
Autumn courses:
Code | Course name | ECTS credits |
---|---|---|
Information Security |
5 ECTS |
|
ELEC-E7120 | Wireless Systems | 5 ECTS |
ELEC-E7130 | Internet Traffic Measurements and Analysis | 5 ECTS |
ELEC-E7310 | Routing and SDN | 5 ECTS |
ELEC-E7330 | Laboratory Course in Internet Technologies | 5 ECTS |
ELEC-E7210 | Communication Theory | 5 ECTS |
ELEC-A7901 | Internet Forum | 5 ECTS |
ELEC-E7260 | Machine Learning for Mobile and Pervasive Systems | 5 ECTS |
ELEC-E7230 | Mobile Communication Systems | 5 ECTS |
ELEC-E7460 | Modelling and Simulation | 5 ECTS |
CS-E4300 | Network Security | 5 ECTS |
ELEC-E7820 | Operator Business | 5 ECTS |
CS-E4640 | Big Data Platforms | 5 ECTS |
CS-C3170 | Web Software Development | 5 ECTS |
CS-E4140 | Applications and Services in Internet | 5 ECTS |
CS-E3210 | Machine Learning: Basic Principles | 5 ECTS |
CS-E4600 | Algorithmic Methods of Data Mining | 5 ECTS |
Entry year, Spring semester
Compulsory major courses (5 ECTS)
Code | Course name | ECTS credits |
---|---|---|
ELEC-E7320 | Internet Protocols | 5 ECTS |
Compulsory I&E Courses (17 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Startup Experience |
9 ECTS |
|
Global Business in the Digital Age |
4 ECTS |
|
ICT Innovation Summer School |
4 ECTS |
Elective major courses - select 22 ECTS over two semesters.
Spring courses:
Code | Course name | ECTS credits |
---|---|---|
ELEC-E7470 | Cybersecurity | 5 ECTS |
Mobile Systems Security |
5 ECTS |
|
ELEC-E7420 | Network Service Provisioning | 5 ECTS |
ELEC-E7810 | Patterns in Communications Ecosystems | 5 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 – Mobile Networking and Cloud Services
Compulsory major courses (14 ECTS)
Code | Course name | ECTS credits | Semester |
---|---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS | autumn |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
autumn |
Select at least 10 ECTS from courses below | |||
ELEC-E7130 | Internet Traffic Measurements and Analysis | 5 ECTS | autumn |
ELEC-E7310 | Routing and SDN | 5 ECTS | autumn |
CS-C3170 | Web Software Development | 5 ECTS | aut & spr |
Big Data Platforms |
5 ECTS |
autumn |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Elective major courses - select 10 ECTS
Code | Course name | ECTS credits | Semester |
---|---|---|---|
Information Security |
5 ECTS |
autumn | |
ELEC-E7120 | Wireless Systems | 5 ECTS | autumn |
ELEC-E7330 | Laboratory Course in Internet Technologies | 5 ECTS | autumn |
ELEC-E7210 | Communication Theory | 5 ECTS | autumn |
ELEC-A7901 | Internet Forum | 5 ECTS | autumn |
ELEC-E7260 | Machine Learning for Mobile and Pervasive Systems | 5 ECTS | aut & spr |
ELEC-E7230 | Mobile Communication Systems | 5 ECTS | autumn |
ELEC-E7460 | Modelling and Simulation | 5 ECTS | autumn |
Network Security |
5 ECTS |
autumn | |
CS-E4140 | Applications and Services in Internet | 5 ECTS | autumn |
CS-E3210 | Machine Learning: Basic Principles | 5 ECTS | autumn |
CS-E4600 | Algorithmic Methods of Data Mining | 5 ECTS | autumn |
ELEC-E7470 | Cybersecurity | 5 ECTS | spring |
ELEC-E7810 | Patterns in Communications Ecosystems | 5 ECTS | spring |
ELEC-E7450 | Performance Analysis | 5 ECTS | spring |
CS-E4310 | Mobile Systems Security | 5 ECTS | spring |
Total: 30 ECTS
Exit year, Spring semester
Code | Course name | ECTS credits |
---|---|---|
COM.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECTS
Note: The major will be discontinued from 2019 onwards (exit students still admitted to Aalto in 2019).
Major code: SCI3081
Entry points:
- Aalto University
- TU Berlin
- TU Delft
- U Rennes 1
Exit points with specializations:
- Aalto: Mobile Services
- KTH: Data Intensive Computing
- TU Berlin: Cloud operation
- TU Delft: Distributed Data Processing
- UPS: Distributed Information Management
- U Rennes 1: Cloud Infrastructures
Professor in charge: Antti Ylä-Jääski
Other professors of the major: Tuomas Aura, N. Asokan, Mario di Francesco
Objectives of the programme
The program objective is to educate engineers who will be able to design, implement and maintain distributed software systems for a wide range of applications including peer-to-peer, cloud computing, web-services provision and internet-based applications. The program will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The program will also provide an insight into current and future directions of the distributed software development.
Graduates of the programme are able to
- analyse and design a complex distributed IT-system based on network, storage, and processing components
- describe a service-based system using dedicated description languages
- calculate and assess the necessary quantitative capacities of the system components to achieve specified performance goals
- can apply up-to-date technology in fault tolerance and security to achieve privacy and dependability goals in complex distributed systems
- identify business opportunities in the area of cloud computing and to turn them into operation
- communicate technical issues to professionals and non-professionals
- work in multidisciplinary and multinational teams and take over responsibilities
- have business skills to understand and execute a business development process, and have insight in legal and societal aspects of products and services.
Courses
Entry year, autumn semester
Compulsory courses (14 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Academic Skills | 1 ECTS |
CS-E4640 |
Big Data Platforms |
5 ECTS |
Mobile Cloud Computing |
5 ECTS |
|
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Courses (7 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
Digital Business Management |
4 ECTS |
Optional courses - select 12 ECTS over two semesters.
Autumn courses:
Code | Course name | ECTS credits | Semester |
---|---|---|---|
Applications and Services in Internet |
5 ECTS |
autumn |
|
Information Security |
5 ECTS |
autumn |
|
Network Security |
5 ECTS |
autumn |
|
Special Course in Computer Science |
1-10 ECTS |
autumn/spring |
|
CS-E4003 |
Special Assignment in Computer Science |
1-10 ECTS |
autumn/spring |
CS-E4004 |
Individual Studies in Computer Science |
1-10 ECTS |
autumn/spring |
CS-E4330 |
Special Course in Information Security |
2-10 ECTS |
autumn/spring |
Entry year, Spring semester
Compulsory courses (10 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Seminar in Computer Science |
5 ECTS |
|
ELEC-E7320 | Internet Protocols | 5 ECTS |
Compulsory I&E Courses (17 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Startup Experience |
9 ECTS |
|
Global Business in the Digital Age |
4 ECTS |
|
ICT Innovation Summer School |
4 ECTS |
Optional courses - select 12 ECTS over two semesters.
Spring courses:
Code | Course name | ECTS credits | Semester |
---|---|---|---|
CS-E4002 |
Special Course in Computer Science |
1-10 ECTS |
autumn/spring |
CS-E4003 |
Special Assignment in Computer Science |
1-10 ECTS |
autumn/spring |
CS-E4004 |
Individual Studies in Computer Science |
1-10 ECTS |
autumn/spring |
CS-E4330 |
Special Course in Information Security |
2-10 ECTS |
autumn/spring |
Laboratory Works in Networking and Security |
5 ECTS |
spring |
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 Services
The courses cover the theoretical and practical aspects of designing mobile distributed systems and services. In the seminar the students learn to read technical and research literature on selected thematic topics and mobile computing, as well as scientific writing and presentation. In the Master’s thesis project, the students can focus on problems arising from the thematic research projects in the Helsinki Node of EIT Digital.
Compulsory major courses (19 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Seminar in Computer Science |
5 ECTS |
|
Big Data Platforms |
5 ECTS |
|
Mobile Cloud Computing |
5 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional major courses (5 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Laboratory Works in Networking and Security |
5 ECTS |
|
Applications and Services in Internet |
5 ECTS |
|
Information Security |
5 ECTS |
|
Network Security |
5 ECTS |
|
Special Course in Computer Science |
1-10 ECTS | |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS |
CS-E4004 | Individual Studies in Computer Science | 1-10 ECTS |
Total: 30 ECTS
Exit year, Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
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 Sud
- Eötvös Loránd University (ELTE)
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): Variety and Veracity for Big Data at Trento
Professor in charge until 2018-2019: Aristides Gionis
Academic coordinator as of 2019-2020: 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.
Courses
Entry year, autumn semester 2018 and 2019
Compulsory major courses (24 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Academic Skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, both oral and written requirements |
3 ECTS |
CS-E3210 |
Machine Learning Basic Principles |
5 ECTS |
CS-E3190 | Principles of Algorithmic Techniques | 5 ECTS |
CS-E4640 | Big Data Platforms | 5 ECTS |
Compulsory I&E Courses (7 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
Digital Business Management |
4 ECTS |
Elective major courses - select at least 7 ECTS over the two semesters.
Autumn courses
Code | Course name | ECTS credits |
---|---|---|
CS-E5710 | Bayesian Data Analysis | 5 ECTS |
CS-E4600 | Algorithmic Methods of Data Mining | 5 ECTS |
CS-E4850 | Computer Vision | 5 ECTS |
CS-E4100 | Mobile Cloud Computing | 5 ECTS |
CS-E5740 | Complex Networks | 5 ECTS |
CS-E4002 | Special Course in Computer Science | 1-10 ECTS |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS |
ELEC-E5422 | Convex Optimization I | 5 ECTS |
ELEC-E5500 | Speech Processing | 5 ECTS |
ELEC-E5510 | Speech Recognition | 5 ECTS |
31E00910 | Applied Microeconometrics I | 6 ECTS |
23E47000 | Digital Marketing | 6 ECTS |
Entry year, spring semester 2019 and 2020
Compulsory major courses (10 ECTS)
Compulsory I&E Courses (17 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Startup Experience |
9 ECTS |
|
Global Business in the Digital Age |
4 ECTS |
|
ICT Innovation Summer School |
4 ECTS |
Elective major courses - select at least 7 ECTS over the two semesters.
Spring courses:
Code |
Name |
ECTS credits |
---|---|---|
CS-E4820 | Machine Learning: Advanced Probabilistic Methods | 5 ECTS |
CS-E4830 | Kernel Methods in Machine Learning | 5 ECTS |
CS-E4840 | Information Visualization | 5 ECTS |
CS-E4580 | Programming Parallel Computers | 5 ECTS |
CS-E4002 | Special Course in Computer Science | 1-10 ECTS |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS |
MS-C1620 | Statistical Inference | 5 ECTS |
ELEC-E5550 | Statistical Natural Language Processing | 5 ECTS |
30E03000 | Data Science for Business | 6 ECTS |
31C01000 | Economics of Strategy for Online and Digital Markets | 6 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. More information about Master's thesis process for Aalto entry students here.
Exit year, autumn semester 2018
Aalto specialization – Machine Learning, Big Data Management and Business Analytics
Compulsory major courses (17 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
CS-E4620 | Introduction to Analytics and Data Science | 2 ECTS |
57E00700 | Capstone: DigitalSM Challenge | 6 ECTS |
Select at least one course of the following: | ||
CS-E3210 | Machine Learning Basic Principles | 5 ECTS |
CS-E5710 | Bayesian Data Analysis | 5 ECTS |
CS-E4600 | Algorithmic Methods of Data Mining | 5 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional major courses (7 ECTS)
Code | Course name | ECTS credits | Semester |
---|---|---|---|
CS-E3190 | Principles of Algorithmic Techniques | 5 ECTS | autumn |
CS-E5740 | Complex Networks | 5 ECTS | autumn |
ELEC-E5510 | Speech Recognition | 5 ECTS | autumn |
CS-E4830 | Kernel Methods in Machine Learning | 5 ECTS | spring |
CS-E4002 | Special Course in Computer Science | 1-10 ECTS | autumn/spring |
CS-C3170 | Web Software Development | 6 ECTS | autumn&spring |
CS-E4870 | Research Project in Machine Learning and Data Science | 5-10 ECTS | autumn/spring |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS | autumn/spring |
CS-E4004 | Individual Studies in Computer Science | 1-10 ECTS | autumn/spring |
CS-E4000 | Seminar in Computer Science | 5 ECTS | spring |
CS-E4800 | Artificial Intelligence | 5 ECTS | spring |
CS-E4840 | Information VIsualization | 5 ECTS | spring |
37E01600 | Data Resources Management | 6 ECTS | autumn/spring |
CS-E4640 | Big Data Platforms | 5 ECTS | autumn |
CS-E4580 | Programming Parallel Computers | 5 ECTS | spring |
23E47000 | Digital Marketing | 6 ECTS | autumn |
30E03000 | Data Science for Business | 6 ECTS | spring |
CS-E4890 | Deep Learning | 5 ECTS | spring |
CS-E4850 | Computer Vision | 5 ECTS | autumn |
MS-C2128 | Prediction and Time Series Analysis | 5 ECTS | autumn |
ELEC-E8125 | Reinforcement Learning | 5 ECTS | autumn |
Total: 30 ECTS
Exit year, autumn semester 2019 (note: curriculum updated)
Aalto specialization – Machine Learning, Big Data Management and Business Analytics
Compulsory major courses (14 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Select at least two courses of the following: | ||
CS-E3210 | Machine Learning Basic Principles | 5 ECTS |
CS-E5710 | Bayesian Data Analysis | 5 ECTS |
CS-E4600 | Algorithmic Methods of Data Mining | 5 ECTS |
CS-E4640 | Big Data Platforms | 5 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional major courses (10 ECTS)
Code | Course name | ECTS credits | Semester |
---|---|---|---|
CS-E3190 | Principles of Algorithmic Techniques | 5 ECTS | autumn |
CS-E5740 | Complex Networks | 5 ECTS | autumn |
ELEC-E5510 | Speech Recognition | 5 ECTS | autumn |
57E00700 | Capstone: DigitalSM Challenge | 6 ECTS | autumn |
CS-E4830 | Kernel Methods in Machine Learning | 5 ECTS | spring |
CS-E4002 | Special Course in Computer Science | 1-10 ECTS | autumn/spring |
CS-C3170 | Web Software Development | 6 ECTS | autumn&spring |
CS-E4870 | Research Project in Machine Learning and Data Science | 5-10 ECTS | autumn/spring |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS | autumn/spring |
CS-E4004 | Individual Studies in Computer Science | 1-10 ECTS | autumn/spring |
CS-E4000 | Seminar in Computer Science | 5 ECTS | spring |
CS-E4800 | Artificial Intelligence | 5 ECTS | spring |
CS-E4840 | Information VIsualization | 5 ECTS | spring |
37E01600 | Data Resources Management | 6 ECTS | autumn/spring |
CS-E4580 | Programming Parallel Computers | 5 ECTS | spring |
23E47000 | Digital Marketing | 6 ECTS | autumn |
30E03000 | Data Science for Business | 6 ECTS | spring |
CS-E4890 | Deep Learning | 5 ECTS | spring |
CS-E4850 | Computer Vision | 5 ECTS | autumn |
MS-C2128 | Prediction and Time Series Analysis | 5 ECTS | autumn |
ELEC-E8125 | Reinforcement Learning | 5 ECTS | autumn |
Total: 30 ECTS
Exit year, spring semester 2019 and 2020
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total: 30 ECTS
Total for the whole year: 60 ECTS
Major code: SCI3023
Entry points:
- KTH
- TU Delft
- UNITN
Exit points with specializations:
- Aalto: Hypermedia
- KTH: Media Processing and Communications
- TU Delft: Medical Imaging
- BME: Media Communications Services
- UNITN: Semantic Media
- UCL: Virtual Environments
Professor in charge: Petri Vuorimaa
Other professors of the major: Eero Hyvönen
Objectives of the programme
The main focus of the Digital Media Technology (DMT) 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 – Hypermedia
Autumn semester
Compulsory major courses (9 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
WWW Applications |
5 ECTS | |
LC-xxxx |
Language course: Compulsory degree requirement, both oral and written requirements |
3 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional Courses (15 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Special Course in Computer Science |
1-10 ECTS |
|
Special Assignment in Computer Science |
1-10 ECTS |
|
Individual Studies in Computer Science |
1-10 ECTS |
|
Explorative Information Visualization |
5 ECTS |
|
User Interface Construction |
5 ECTS |
|
Seminar in Computer Science |
5 ECTS |
|
Mobile Cloud Computing |
5 ECTS |
|
Applications and Services in Internet |
5 ECTS |
|
Social Media |
4 ECTS |
|
Complex Networks |
5 ECTS |
|
CS-C3170 | Web Software Development | 5 ECTS |
CS-E4850 | Computer Vision | 5 ECTS |
CS-E4640 | Big Data Platforms | 5 ECTS |
Total: 30 ECTS
Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECTS
Note: The major will be discontinued from 2019 onwards (exit students still admitted to Aalto in 2019).
Major code: SCI3024
Entry points:
- KTH
- TU Berlin
- TU/e
Exit points with specializations:
- KTH: Embedded Platforms and Internet of Things
- Aalto: Mobile Cyber-Physical Systems
- TU Berlin: Embedded Multicore Processing
- UNITN: Real-Time Systems and Design of Cyber-Physical systems
- TU/e: Embedded Networking
- UTU: Energy Efficient Computing
- BME: Critical Embedded Systems
Professor in charge: Stavros Tripakis
Academic coordinator: Vesa Hirvisalo
Objectives of the programme
Cyber-physical systems (CPS) combine computational and physical elements. A mobile CPS is designed as a network that includes mobile and wireless elements. The technology for mobile CPS forms the corner stone for many novel application areas and businesses, such as augmented and mixed reality systems, infotainment systems, and games. Especially, the rise in popularity of smartphones has increased interest in the area of mobile CPS. The students will acquire skills to develop applications and services that are based on mobile CPS technologies. The topics covered include programming web and multimedia systems, processing of video and audio, designing user interfaces, and mastering the embedded systems design flow.
Exit year at Aalto
Aalto specialization – Mobile Cyber-Physical Systems
Autumn semester
Compulsory major courses (14-19 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
Mobile Cloud Computing |
5 ECTS |
|
Project in embedded systems |
5-10 ECTS |
|
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Courses
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional major courses (5-10 ECTS)
Code | Course name | ECTS credits | Semester |
---|---|---|---|
Speech Recognition |
5 ECTS |
||
User Interface Construction |
5 ECTS |
||
Deep Learning |
5 ECTS |
spring | |
Seminar in Computer Science |
5 ECTS |
||
Special Course in Computer Science | 1-10 ECTS | ||
Special Assignment in Computer Science | 1-10 ECTS | ||
Individual Studies in Computer Science | 1-10 ECTS | ||
Computer Vision | 5 ECTS |
Total: 30 ECTS
Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECTS
Major code: SCI3020
Entry points:
- Aalto University
- Royal Institue of Technology (KTH)
- University Paris-Sud (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
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.
Courses
Entry year, autumn semester
Compulsory major courses (11 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Academic skills | 1 ECTS |
User-Centered Methods for Product and Service Design |
5 ECTS |
|
Select one of the following courses: |
||
User Interface Construction |
5 ECTS |
|
Computational User Interface Design |
5 ECTS |
Compulsory I&E Courses (16 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
Digital Business Management |
4 ECTS |
|
Startup Experience |
9 ECTS |
Elective major courses - Select at least 2 ECTS over the two semesters.
Autumn courses:
Code | Course name | ECTS credits |
---|---|---|
CS-C3120 | Human-Computer Interaction | 5 ECTS |
Machine Learning: Basic Principles |
5 ECTS |
|
Computer Graphics |
5 ECTS |
|
Design of WWW services |
4 ECTS |
|
ELEC-E7890 | User Research | 5 ECTS |
CS-E4450 | Explorative Information Visualization | 5 ECTS |
CS-E50xx | Seminars and Special courses in Software and Service Engineering | 5 ECTS |
Entry year, Spring semester
Compulsory major courses (23 ECTS)
Code | Course name | ECTS credits |
---|---|---|
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Design Project |
10 ECTS |
|
Usability Evaluation |
5 ECTS |
|
Emergent User Interfaces |
5 ECTS |
Compulsory I&E Courses (8 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Global Business in the Digital Age |
4 ECTS |
|
ICT Innovation Summer School |
4 ECTS |
Elective major courses - Select at least 2 ECTS over the two semesters.
Spring courses:
Code | Course name | ECTS credits |
---|---|---|
Information Visualization |
5 ECTS |
|
Artificial Intelligence |
5 ECTS |
|
CS-E5520 | Advanced Computer Graphics | 5 ECTS |
CS-E50xx | Seminars and Special courses in Software and Service Engineering | 5 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 – 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 (14 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Machine Learning: Basic Principles* |
5 ECTS |
|
ELEC-E7851 | Computational User Interface Design | 5 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Elective major courses (10 ECTS)
Code | Course name | ECTS credits |
---|---|---|
DOM-E5129 | Intelligent Computational Media** | 5 ECTS |
CS-E4840 | Information Visualization** | 5 ECTS |
ELEC-E7890 | User Research | 5 ECTS |
ELEC-E7870 | Advanced Topics in User Interfaces | 3 ECTS |
Only one course of the following can be included in the electives: | ||
Deep Learning |
5 ECTS |
|
Algorithmic Methods of Data Mining |
5 ECTS |
|
ELEC-E8125 | Reinforcement learning | 5 ECTS |
* If machine learning basics have been studied at entry, select more electives on agreement with academic coordinator.
** Course currently offered during spring semester.
Total: 30 ECTS
Exit year, Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECT
Note: The major will be discontinued from 2018 onwards (exit students still admitted to Aalto in 2018).
Entry points:
- Aalto
- UNITN
- ELTE
Exit points and specializations:
- Aalto: Software and Services for Smart Spaces
- ELTE: Distributed service systems
- UNITN: Service-oriented social informatics
- UPM: Software and Services in the Cloud
Professor in charge: Casper Lassenius
Exit year at Aalto
Aalto specialization – Software and Services for Smart Spaces
The starting point for the second year in SSA at Aalto is to create a personal study plan for each student that matches the student’s own interests as well as the needs of the research project that forms the foundation of the student’s Master’s thesis.
Aalto offers a specialization in Software and Services for Smart Spaces. The courses cover the theoretical and practical aspects of designing digital services with a strong mobile focus. In the Master’s thesis project, the students can focus on problems arising from the thematic research projects in the Helsinki Node of EIT Digital.
Autumn semester
Compulsory major courses (4 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
LC-xxxx |
Language course: Compulsory degree requirement, |
3 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional major courses (20 ECTS)
Code | Course name | ECTS credits | Semester |
---|---|---|---|
Mobile Cloud Computing |
5 ECTS |
autumn |
|
CS-E4640 | Big Data Platforms | 5 ECTS | autumn |
Seminar in Software and Service Engineering | 5 ECTS | autumn/spring | |
CS-E5005 | Research Methods in Software and Service Engineering | 5 ECTS | autumn |
CS-E4000 | Seminar in Computer Science | 5 ECTS | autumn |
CS-E4002 | Special Course in Computer Science | 1-10 ECTS | autumn/spring |
CS-E4003 | Special Assignment in Computer Science | 1-10 ECTS | autumn/spring |
Total: 30 ECTS
Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECT
Major code: SCI3102
Entry points:
- KTH
- TU Delft
- UNITN
Exit points with specializations:
- Aalto: Hypermedia
- KTH: Media Processing and Communications
- TU Delft: Medical Imaging
- BME: Media Communications Services
- UNITN: Semantic Media
- UCL: Virtual Environments
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 – Hypermedia
Autumn semester
Compulsory major courses (9 ECTS)
Code | Course name | ECTS credits |
---|---|---|
SCI-E1010 | Introduction course for Master's students: Career and working life skills | 1 ECTS |
WWW Applications |
5 ECTS | |
LC-xxxx |
Language course: Compulsory degree requirement, both oral and written requirements |
3 ECTS |
Compulsory I&E Courses (6 ECTS)
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Optional Courses (15 ECTS)
Code | Course name | ECTS credits |
---|---|---|
Special Course in Computer Science |
1-10 ECTS |
|
Special Assignment in Computer Science |
1-10 ECTS |
|
Individual Studies in Computer Science |
1-10 ECTS |
|
Explorative Information Visualization |
5 ECTS |
|
User Interface Construction |
5 ECTS |
|
Seminar in Computer Science |
5 ECTS |
|
Mobile Cloud Computing |
5 ECTS |
|
Applications and Services in Internet |
5 ECTS |
|
Social Media |
4 ECTS |
|
Complex Networks |
5 ECTS |
|
CS-C3170 | Web Software Development | 5 ECTS |
CS-E4850 | Computer Vision | 5 ECTS |
CS-E4640 | Big Data Platforms | 5 ECTS |
Total: 30 ECTS
Spring semester
Code | Course name | ECTS credits |
---|---|---|
CS.thes |
Master’s Thesis |
30 ECTS |
Total for the whole year: 60 ECT
Language studies
According to the degree regulations at Aalto University, students must take at least 3 ECTS of foreign language studies for the degree. In Master’s Programme in ICT Innovation the students have the option to choose between an English course, fulfilling both oral and written requirements (o,w) or at least 3 ECTS of Finnish courses. We recommend the English course LC-1310 Academic Communication for MSc Students for everyone. The course has to be on Master's level - as of autumn 2019, Master's students are not accepted on Bachelor level language courses.
Further information on relevant courses and methods to complete them is available from the Language Centre: Compulsory Foreign Language
Alternatives to complete the compulsory foreign language course:
- If you have a previous degree from a Finnish university and you have completed the required foreign language course, you can be excempted from the language course requirement in your Master's degree and select more elective courses instead. Please contact your study coordinator and agree this on your Personal Study Plan (HOPS).
- If you are a native English speaker and have completed all your school education in English in an English-speaking country, you should select something else than English as foreign language course in your degree. Please discuss the alternatives with your study coordinator and agree on the decision with your Personal Study Plan (HOPS). Courses that fulfill the requirements for the foreign language course are listed on the page Compulsory Foreign Language.
- If you feel that your academic English proficiency is on a sufficient level to write a Master's thesis, you can select 3 ECTS of Finnish language courses instead, please fill in this form and submit it to the study coordinator/Student Services. In addition, you have to include the Finnsh course(s) in your Personal Study Plan (HOPS), see the options on the page Finnish as a second language and as a foreign language.
- If you are an exit student and have completed a course similar to LC-1310 Academic Communication for MSc Students at your entry university (similar content, same level, same or larger extent in ECTS), please contact your study coordinator. Upon judgement of the study coordinator and a language teacher, Aalto can recognize the foreign language course completed at a partner university and you can select more elective courses at Aalto instead.
- Swedish is, unfortunately, not accepted as foreign language. This is because the definition of the foreign language requirement originates from Finnish legislation, and by this legislation, Finnish and Swedish are national languages.
Innovation & Entrepreneurship minor
The I&E minor at Aalto is developed in co-operation with the Aalto Venture Program (AVP, http://avp.aalto.fi/). The focus of the Aalto I&E program is on entrepreneurship in ICT. The content of I&E minor is the same for all majors.
Coordinator in charge: Olli-Pekka Mutanen
Compulsory I&E courses during the entry year and entry summer
Code | Course name | ECTS credits |
---|---|---|
Introduction to Digital Business and Venturing |
3 ECTS |
|
CS-E5130 |
Digital Business Management |
4 ECTS |
Startup Experience |
9 ECTS |
|
CS-E5140 |
Global Business in the Digital Age |
4 ECTS |
ICT Innovation Summer School |
4 ECTS |
Compulsory I&E course during the exit year
Code | Course name | ECTS credits |
---|---|---|
I&E Study Project |
6 ECTS |
Total: 30 ECTS
Summer Schools
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. There are currently 19 such partner universities in 8 EU member states, all of which are academic leaders in the delivery of technical and I&E education at Master level.
Summer Schools 2019
A key component in students’ innovation and entrepreneurship education is compulsory attendance at a two-week long summer school during the summer interval between the two academic years. The summer schools are also open to external participants, including professionals from our industrial partners.
Every summer the summer schools will be held at several locations throughout Europe, during which students immerse themselves in real business case studies originating from EIT Digital's accelerators, startups and network of industrial partners.
The summer schools are linked to the EIT Digital Action Lines, themed around the five areas where we see major societal and industrial challenges and that are also opportunities for Europe to take a leadership position in the global digital economy: Digital Industry, Digital Cities, Digital Wellbeing, Digital Infrastructure, and Digital Finance.
EIT Digital Cities
By 2050, two thirds of the world’s population will live in cities. Our summer schools respond to the challenge of maintaining attractive, inclusive and safe urban environments through the digital transformation of cities.
Summer School Topic |
Time and Place |
---|---|
Unleashing the Power of Data for Better Cities | Rennes, France, June 30 – July 13 |
Integrating Personalized Mobility Solutions | Tallinn, Estonia, July 14 – July 27 |
Digital Cities as Infrastructures for Smart Mobility | Trento, Italy, July 14 – July 27 |
Digital Transformation for Resilient Cities | Ljubljana, Slovenia, June 30 – July 13 |
EIT Digital Industry
With digital transformation, manufacturing industry is faced with new technological opportunities and business models. Our summer schools focus on digitised factories, blended retail, personalised products and data-driven processes.
Summer School Topic |
Time and Place |
---|---|
IoT Platforms for Industry 4.0 | Munich, Germany, July 21 – August 3 |
Disrupting Retail – Digitalization, Growth, and User Engagement | Helsinki, Finland, August 4 – August 17* |
Data Driven Manufacturing with Industry 4.0 | Bologna, Italy, July 21 – August 3 |
*) at Aalto University in Otaniemi.
EIT Digital Wellbeing
Focus is on deliver solutions to lowdown the growth of healthcare costs and maintaining the quality of life at home and at work. Digital technologies are leveraged both for achieving healthier lifestyles, longer independent living and for long-term care.
Summer School Topic |
Time and Place |
---|---|
Longer Independent Living | Lisbon, Portugal, June 30 – July 13 |
Healthy Lifestyle and Behavioural Change | Eindhoven, The Netherlands, August 4 – August 17 |
EIT Digital Infrastructure
Digital infrastructure is the core enabler of digital transformation by providing secure, robust, responsive and intelligent communications and computation facilities. Our summer schools target the technologies that drive the digital economy.
Summer School Topic |
Time and Place |
---|---|
Internet of Things and Business Transformation | Stockholm, Sweden, August 4 – August 17 |
Big Data Analytics | Stockholm, Sweden, August 4 – August 17 |
EIT Digital Finance
Digital Finance is the delivery of innovative financial products and services through digital technology, with the objective of making financial systems more reliable, transparent, and customer friendly.
Summer School Topic |
Time and Place |
---|---|
Machine Learning for Financial Data | Budapest, Hungary, July 21 - August 3 |
More information about the Summer Schools is available on EIT Digital Academy's website.
- Published:
- Updated: