Entry points, 1st year, Common Courses
Academic year 2025/2026
Aalto University (Aalto)
Academic Coordinator: Jukka Manner, jukka.manner@aalto.fi
FIRST & SECOND SEMESTER
| Common Core (10 ECTS) | ECTS |
| Internet Protocols | 5 |
| Mobile Cloud Computing | 5 |
| Compulsory Courses (6 ECTS) | |
| Language course: Compulsory degree requirement, both oral and written requirements | 3 |
| Academic skills in master's studies | 3 |
| Electives (20 ECTS) | |
| Wireless Systems | 5 |
| Internet Traffic Measurements and Analysis | 5 |
| Routing and SDN | 5 |
| Laboratory Course in Internet Technologies | 5 |
| Communication Theory | 5 |
| Cybersecurity | 5 |
| Internet Forum | 5 |
| Machine Learning for Mobile and Pervasive Systems | 5 |
| Mobile Communication Systems | 5 |
| Modelling and Simulation | 5 |
| Network Service Provisioning | 5 |
| Operator Business | 5 |
| Patterns in Communications Ecosystems | 5 |
| Performance Analysis | 5 |
| Information Security | 5 |
| Operating Systems | 5 |
| Web Software | 5 |
| Machine Learning: Basic Principles | 5 |
| Concurrent Programming | 5 |
| Applications and Services in Internet | 5 |
| Multimedia Services in Intranet | 5 |
| Network Security | 5 |
| Mobile Systems Security | 5 |
| Design of WWW Service | 5 |
| Algorithmic Methods of Data Mining | 5 |
| Big Data Platforms | 5 |
| Artificial Intelligence | 5 |
| Information Visualization | 5 |
| User Interface Construction | 5 |
| Social Media | 5 |
| I&E Mandatory (15 ECTS) | |
| Introduction to Digital Business and Venturing | 3 |
| Digital Business Management | 3 |
| Entrepreneurship Lab | 10 |
| Global Business in the Digital Age | 4 |
| ICT Innovation Summer School | 4 |
| I&E Elective (9 ECTS) |
Babeș-Bolyai University (UBB)
Academic Coordinator: Adrian Sergiu Darabant, sergiu.darabant@ubbcluj.ro
FIRST & SECOND SEMESTER
| Mandatory Cloud/Networking (30 ECTS) | ECTS |
| Grid, Cluster and Cloud computing | 7 |
| Cloud databases | 6 |
| Computer Ethics and Academic Integrity | 8 |
| Network Virtualization | 9 |
| Electives CS/Engineering (6 ECTS) |
|
| Algorithms, models, and concepts in distributed systems | 6 |
| Parallel Programming | 6 |
| I&E Mandatory (15 ECTS) |
|
| Digital Economy Principles | 8 |
| Innovation Management | 7 |
| Thematic Project with Innovation Challenge | 4 |
| I&E Elective (9 ECTS) | |
| Business Forecasting and Predictive Modelling | 5 |
| Strategic Business Process Automation | 5 |
Draft curriculum. Program and university participation pending approval.
KTH Royal Institute of Technology (KTH)
Academic Coordinator: Viktoria Fodor, vjfodor@kth.se
FIRST & SECOND SEMESTER
| Common Core (15 ECTS) | ECTS |
| Advanced Internetworking | 7.5 |
| Data-Intensive Computing | 7.5 |
| Compulsory Course (7.5 ECTS) | |
| Research Methodology and Scientific Writing | 7.5 |
| Elective Courses (15 ECTS) | |
| Queuing Theory and Teletraffic Systems | 7.5 |
| Distributed Systems, Advance Course | 7.5 |
| Wireless Networks | 7.5 |
| Data Mining, Basic Course | 7.5 |
| I&E Mandatory (15 ECTS) | |
| Entrepreneurship for Engineers | 6 |
| Business Development Lab, 9 credits (periods 3 and 4) | 9 |
| I&E Elective (9 ECTS) |
|
| Internet Marketing | 7.5 |
| Technology-based Entrepreneurship | 7.5 |
| Summer school | 4 |
Middle East Technical University (METU)
Academic Coordinator: Banu Günel Kilic, bgunel@metu.edu.tr
FIRST & SECOND SEMESTER
| Mandatory Cloud/Networking (15 ECTS) | ECTS |
| Introduction to HPC, Parallel and Distributed Systems | 5 |
| Computer Networking for HPC and Cloud | 5 |
| Research Methods and Ethics | 4 |
| Graduate Seminar | 1 |
| Electives CS/Engineering (21 ECTS) |
|
| Software Architecture for HPC | 3 |
| Numerical Methods | 3 |
| Programming and Operating Systems | 3 |
| Advanced Parallel Programming | 3 |
| Performance Analysis and Optimization | 3 |
| Compilers and Optimizations | 3 |
| Computer Architecture for HPC | 3 |
| Quantum Computing | 3 |
| Applied Parallel Programming on GPU | 4 |
| Cloud Computing: Technology and Business | 4 |
| Web Services and Service Oriented Architecture | 3 |
| Devops Essentials | 3 |
| I&E Mandatory (15 ECTS) | |
| I&E Elective (9 ECTS) | |
| Digital Transformation: Management, Technology and Organization | 5 |
| Technology Entrepreneurship and Lean Startups | 5 |
Draft curriculum. Program and university participation pending approval.
Polytechnic University of Milan (POLIMI)
Academic coordinator: Prof. Gianluca Palermo
Programme Manager: Federico Schiepatti, federico.schiepatti@polimi.it
FIRST & SECOND SEMESTER
| Mandatory Cloud/Networking (31 ECTS) | ECTS |
| PARALLEL COMPUTING | 5 |
| NUMERICAL ANALYSIS (or) NUMERICAL LINEAR ALGEBRA | 5 |
| NETWORK COMPUTING (or) COMMUNICATION NETWORK DESIGN | 5 |
| QUANTUM COMPUTING | 5 |
| COMPUTING INFRASTRUCTURES | 5 |
| ADVANCED COMPUTER ARCHITECTURES | 6 |
| Electives CS/Engineering (5 ECTS) |
|
| NETWORKED SOFTWARE FOR DISTRIBUTED SYSTEMS | 5 |
| ADVANCED METHODS FOR SCIENTIFIC COMPUTING | 5 |
| DISTRIBUTED SYSTEMS | 5 |
| PERFORMANCE EVALUATION AND APPLICATIONS | 5 |
| MACHINE LEARNING | 5 |
| SOFTWARE ENGINEERING FOR HPC | 5 |
| I&E Mandatory (15 ECTS) |
|
| HIGH-TECH STARTUPS: CREATING AND SCALING UP I | 5 |
| HIGH TECH ENTREPRENEURSHIP | 5 |
| DIGITAL BUSINESS | 5 |
| DIGITAL BUSINESS LAB (10 CFU) | 10 |
| I&E Elective (9 ECTS) | |
| CREATIVITY, SCIENCE AND INNOVATION | 5 |
| BUSINESS INFORMATION SYSTEMS | 5 |
| MULTIDISCIPLINARY PROJECT / SUMMER SCHOOL | 4 |
Draft curriculum. Program and university participation pending approval.
University of Rennes
Academic Coordinator: Cédric Tedeschi, cedric.tedeschi@irisa.fr
FIRST & SECOND SEMESTER
| Common Core (10 ECTS) | ECTS |
| Networks from Services to Protocols | 5 |
| Big Data Storage and Processing Infrastructures | 5 |
| Compulsory Courses (20 ECTS) | |
| Operating Systems | 5 |
| Distributed Systems | 5 |
| Service Technologies | 5 |
| Object-oriented Software Design | 5 |
| Elective Courses (10 ECTS) | |
| Modeling for Performance Evaluation and Safety Analysis | 5 |
| Parallel Programming | 5 |
| Operating Systems - Kernel Implementation | 5 |
| Combinatorial Optimisation and Related Algorithms | 5 |
| I&E Mandatory (20 ECTS) | |
| Business Development Lab 1 | 10 |
| Innovation and Entrepreneurship | 5 |
| Business Development Lab 2 | 5 |
| Knowledge and Intangible Assets |
Trento University
Academic Coordinator: Fabrizio Granelli, fabrizio.granelli@unitn.it
FIRST & SECOND SEMESTER
| Common Core (6 ECTS) | ECTS |
| Next Generation Networks | 6 |
| Fog and Could Computing | 6 |
| Compulsory Courses (18 ECTS) | |
| Network Modelling and Design | 9 |
| Softwarised and Virtualised Mobile Networks | 9 |
| Elective Courses (6 ECTS) | |
| Free Choice | 6 |
| I&E Mandatory (15 ECTS) | |
| Innovation and Enterpreneurship Basics | 6 |
| Business Development Lab | 9 |
| I&E Elective (9 ECTS) |
|
| ICT Innovation (including summer school) | 9 |
Exit points, 2nd year, Specialisation
Academic year 2026/2027
Aalto University (Aalto)
Academic Coordinator: Jukka Manner, jukka.manner@aalto.fi
SPECIALISATION: Mobile Networking, Sustainability and Cloud Services
The courses cover the theoretical and practical aspects of designing and analyzing mobile networks and cloud services. 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.
THIRD & FOURTH SEMESTER
| Compulsory Courses (15 ECTS) | ECTS |
| Master’s Thesis Process | 2 |
| Language course: Compulsory degree requirement, both oral and written requirements | 3 |
| Select at least 10 ECTS from below | |
| Internet Traffic Measurements and Analysis | 5 |
| Routing and SDN | 5 |
| Web Software Development | 5 |
| Big Data Platforms | 5 |
| Electives (10 ECTS) | |
| Wireless Systems | 5 |
| Internet Traffic Measurements and Analysis | 5 |
| Routing and SDN | 5 |
| Laboratory Course in Internet Technologies | 5 |
| Communication Theory | 5 |
| Cybersecurity | 5 |
| Internet Forum | 5 |
| Machine Learning for Mobile and Pervasive Systems | 5 |
| Mobile Communication Systems | 5 |
| Modelling and Simulation | 5 |
| Network Service Provisioning | 5 |
| Operator Business | 5 |
| Patterns in Communications Ecosystems | 5 |
| Performance Analysis | 5 |
| Information Security | 5 |
| Operating Systems | 5 |
| Web Software | 5 |
| Machine Learning: Basic Principles | 5 |
| Concurrent Programming | 5 |
| Applications and Services in Internet | 5 |
| Multimedia Services in Intranet | 5 |
| Network Security | 5 |
| Mobile Systems Security | 5 |
| Design of WWW Service | 5 |
| Algorithmic Methods of Data Mining | 5 |
| Big Data Platforms | 5 |
| Artificial Intelligence | 5 |
| Information Visualization | 5 |
| User Interface Construction | 5 |
| Social Media | 5 |
| I&E (6ECTS) | |
| I&E study project | 6 |
| Thesis/Internship (30 ECTS) |
Jukka Manner received his MSc. (1999) and PhD. (2004) degrees in computer science from the University of Helsinki. He has been a full professor (tenured) of networking technology at Aalto University, Department of Communications and Networking (Comnet) since 2008. His research and teaching focuses on networking, software and distributed systems, with a strong focus on wireless and mobile networks, transport protocols, energy efficient ICT and cyber security. He has contributed to standardization of Internet technologies in the IETF since 1999.
Babeș-Bolyai University (UBB)
Academic Coordinator: Adrian Sergiu Darabant, sergiu.darabant@ubbcluj.ro
SPECIALISATION: High-Performance Computing
THIRD & FOURTH SEMESTER
| Compulsory Courses (24 ECTS) | ECTS |
| Multimedia Communications in IP Networks | 8 |
| Operating Systems for Parallel and Distributed Architectures | 8 |
| Security of Cloud Infrastructure | 8 |
| Elective Courses (6 ECTS) | |
| To be agreed with the local coordinator | |
| I&E (6ECTS) | |
| Thesis/Internship (30 ECTS) | |
| Internship in specialization | 20 |
| Project in Cloud and Network Infrastructure | 6 |
| Elaboration of the dissertation thesis | 4 |
Draft curriculum. Program and university participation pending approval.
Adrian Sergiu Darabant obtained his Computer Science PhD in 2004 and always kept strong contact with both industry and research, especially in computer vision and deep learning. Teaching, research and developing new approaches for solving practical industry problems are the main parts of his activity. In the recent years, his R&D activity shifted mostly towards Machine Learning, Deep Learning, Convolutional and Recurrent Networks. He is very passionate about new trends and approaches in Machine Learning and Computer Vision, but also a devoted partisan of distributed systems, networking and Cloud technologies as parts of his teaching curricula at the university. As part of the lectures around Cloud Computing and Networking he introduces students to the AWS and Azure platforms and technologies, teaches DevOps and application design, management and migration to cloud infrastructures. One of his main personal challenges is to bring as most/many as possible of his research results to the industry and making them available as usable solutions.
KTH Royal Institute of Technology (KTH)
Academic Coordinator: Viktoria Fodor, vjfodor@kth.se
SPECIALISATION: Networked Intelligence
KTH offers courses in the area of data intensive distributed computing, covering both the design of network infrastructures that can support these emerging applications, and the design of the distributed computing applications itself, focusing on scalable machine learning and on distributed artificial intelligence.
THIRD & FOURTH SEMESTER
| Compulsory courses (7.5 ECTS) | ECTS |
| Research Methodology and Scientific Writing | 7.5 |
| Elective courses (16.5 ECTS) | |
| Modern Methods in Software Engineering | 7.5 |
| Distributed AI and Intelligent Agents | 7.5 |
| Stream Processing and Data Mining | 7.5 |
| Scalable Machine Learning and Deep Learning | 7.5 |
| Network Analytics | 7.5 |
| Network Programming with Java | 7.5 |
| Networked Systems Security | 7.5 |
| Programming Web Services | 7.5 |
| Seminars in Information and Network Engineering | 3 |
| I&E (6 ECTS) | |
| ICT Innovation Study Project | 6 |
| Thesis/Internship (30 ECTS) |
Viktoria Fodor received her MSc and PhD degrees in computer engineering from the Budapest University of Technology and Economics. In 1999 she joined KTH, Royal Institute of Technology, where she now acts as assistant professor in the Laboratory for Communication Networks and coordinator of the local EIT Digital Master School programme ITA. Over the years she supervised several master thesis projects and 2 PhD theses. She participated in several European and Swedish research projects. Her current research interests include multimedia and peer-to-peer communication, sensor network and cognitive radio network protocol design and performance analysis.
Middle East Technical University (METU)
Academic Coordinator: Banu Günel Kilic, bgunel@metu.edu.tr
SPECIALISATION: HPC for Data Science
THIRD & FOURTH SEMESTER
| Electives (30 ECTS) | ECTS |
| Foundations of Deep Learning | 6 |
| Spatio-Temporal Data Mining | 6 |
| Transformers and Attention-based Deep Networks | 6 |
| Reinforcement Learning | 6 |
| Machine Learning Systems Design and Deployment | 6 |
| Deep Learning: Methods and Applications | 6 |
| Generative Models for Multimedia | 6 |
| Introduction to Data Informatics | 6 |
| Knowledge, Discovery, and Mining | 6 |
| Social Media Analytics | 6 |
| Social Network Analysis | 6 |
| Big Data | 6 |
| Deep Learning for Text Analytics | 6 |
| Artificial Intelligence for Cognitive Science | 6 |
| Machine Learning Design and Application for Cyber Security | 6 |
| Statistical Learning for Bioinformatics | 6 |
| I&E (6 ECTS) | |
| Business Process Management | |
| Thesis/Internship (30 ECTS) |
Draft curriculum. Program and university participation pending approval.
Prof. Banu Günel Kılıç is the Dean of the Graduate School of Informatics at METU, and a professor of Information Systems, specializing in signal processing, cyber security, machine learning, and social network analysis. She holds a Ph.D. in Computer Science from Queen’s University Belfast, UK (2004), an M.Sc. (with commendation) in Communication Systems and Signal Processing from the University of Bristol, UK (2001), and a B.Sc. in Electrical and Electronics Engineering from Middle East Technical University (2000). She is also affiliated with both the Department of Cyber Security and the Department of Data Informatics. Prof. Kılıç has extensive international experience, including a Senior Research Associate position at the University of Surrey in the UK, where she contributed to projects at the Centre for Vision, Speech, and Signal Processing between 2004 and 2010. Prof. Kılıç has led and participated in several research projects funded by prestigious organizations such as the European Union and the Engineering and Physical Sciences Research Council (EPSRC) in the UK.
University of Rennes
Programme Lead: Cédric Tedeschi, cedric.tedeschi@irisa.fr
SPECIALISATION: Smart City Services
Cloud/Fog computing and 5G networking technology convergence enables the design of innovative services and applications which aim to improve operational efficiency and urban citizen’s quality of life. This specialisation focuses on enabling technologies to build, operate and manage massively distributed heterogeneous resources in the broad domain of smart city services and applications. Students will also learn about the fundamental properties of autonomic systems and how to adapt applications according to dynamic changes in data and system load.
This specialisation is given in close connection with the INRIA/IRISA research lab (the largest IT research lab in France) which hosts several internationally reputed research teams (ACES, ASAP, KERDATA, MYRIADS, STACK) representing about 60 researchers focusing their work on various aspects of cloud computing, fog computing, networking infrastructures and smart city services.
THIRD & FOURTH SEMESTER
| Compulsory Courses (16 ECTS) | ECTS |
| Smart City Services: From infrastructure to applications | 4 |
| Advanced Cloud Infrastructures | 4 |
| Scalable Network Infrastructures for Optimized Service Delivery | 4 |
| Personal Project on Cloud and Network Infrastructure | 4 |
| Elective Courses (8 ECTS) | |
| Multimedia Networks | 4 |
| Advanced Wireless Networks: 5G and Beyond | 4 |
| Data Mining and Visualization | 4 |
| I&E (6 ECTS) | |
| Innovation and entrepreneurship study | 6 |
| Thesis/Internship (30 ECTS) |
Cédric Tedeschi is the local coordinator of the CNI Master programme at the University of Rennes 1. He holds a PhD from the University of Lyon, and has spent one year as a post-doctoral fellow at Inria (Sophia-Antipolis Mediterranee), before joining the University of Rennes. He is a member of the IRISA computing lab. His research interests revolves around distributed computing. Recently, he has contributed to decentralizing Cloud infrastructures and Stream processing.
University of Trento (UNITN)
Academic Coordinator: Fabrizio Granelli, fabrizio.granelli@unitn.it
Students enrolled at the University of Trento as entry point will have access to a limited number of grants for the year spent in Trento.
SPECIALISATION: Beyond 5G/6G and High Performance Computing
UNITN will offer a specialisation in 5G and beyond 5G. Indeed, 5G is expected to bring unprecedented improvements and advances to the cellular networks that we use today. Moreover, they will offer the infrastructure for the deployment of several novel emerging applications and services, including Internet of Things, Vehicular Communications, Tactile Internet, machine-to-machine communications, smart grid. The student attending this specialisation will be exposed to the most recent advances in communication protocols and devices, network virtualisation and control, softwarisation and service provisioning.
THIRD & FOURTH SEMESTER
| Compulsory Courses (12 ECTS) | ECTS |
| Research Project | 12 |
| Project course on Beyond 5G | 6 |
| Elective Courses (6 ECTS) | |
| Next Generation Networks | 6 |
| High Performance Computing for Data Science | 6 |
| Simulation and Performance Evaluation | 6 |
| Network Security | 6 |
| Other electives to be agreed with the course local coordinator | |
| I&E (6 ECTS) | |
| Innovation and entrepreneurship studies in ICT | 6 |
| Thesis/Internship (30 ECTS) |
Fabrizio Granelli is a full professor at the Dept. of Information Engineering and Computer Science (DISI) of the University of Trento (Italy) and Director of Online Content at IEEE Communications Society. He was IEEE ComSoc distinguished lecturer in 2012-15 and Delegate for Education of DISI in 2015-17. His main research activities are in the field of networking, with particular reference to wireless networks (performance optimization, ad-hoc networks modeling), cognitive networks/radios, cross-layer design and green networking. He is the author of more than 200 papers, guest-editor in relevant international journals (ACM/Kluwer Mobile Networks and Applications Journal, ACM TOMACS, JSAC, IEEE Communications Magazine) and visiting professor at the State University of Campinas and at The University of Tokyo. He is the former Chair of the IEEE Communication Systems Integration and Modeling Technical Committee and he was chair or co-chair of several top-level international events, like IEEE Globecom Symposium TPC Co-Chair on "Performance Modeling, QoS and Reliability" from 2007 to 2009 and in 2012.
