Why study Cloud and Network Infrastructures at EIT Digital?
Cloud and Network Infrastructures provides a comprehensive view on network and cloud computing. Students will learn to master network management, operation, and design on the one hand and cloud service and deployment models, implementation strategies, and application design on the other. The programme 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.
Today’s networks are reaching their limit because of an increased number of devices connected to the Internet, rapid traffic growth and quantity of data exchanged online. This led to the physical split of Cloud Computing and networks. By bringing cloud computing closer to the network, the benefits of the next generation of wireless technologies is that of being flexible, safe and cheap. This will allow real-time big data analysis and improved application performance.
The cloudification of networks enables new application fields like smart cities, Industrial Internet of Things, Industry 4.0, autonomous driving and augmented virtual reality. For instance, smart traffic signal will enable traffic lights to work in sync with connected vehicles, so drivers aren’t forced to sit at an empty intersection, waiting for the traffic light to turn green. Furthermore, the set of technical possibilities it offers is so innovative that it will also enable new business models and business opportunities bringing tremendous changes in society overall.
Experts and specialists working in this field need to understand the fundamentals of networking and cloud computing, and they must be capable of making judgements of how innovations in these fields affect existing business models or can create new ones.
EIT Digital Master School offers a unique two-year academic programme, whereby students study Cloud and network Infrastructures, innovation and entrepreneurship at two different leading European universities. At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.
Who can apply?
If you wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of:
Students should have basic competence in mathematics, theoretical foundations of computer science, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems.
Kindly note that relevant work experience can compensate a non-strictly matching bachelor degree. Please justify your work experience in your motivation letter or resume. Once your papers are received, the selection committee will make the final decision on whether your bachelor's and work experience are sufficient as prerequisites for the track you have applied for.
How is the programme structured?
All EIT Digital Master School programmes follow the same scheme:
Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
The second year offers a specialisation and a graduation project. The graduation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.
To learn more about the I&E minor please click here.
Where can I study Cloud and Network Infrastructures?
Internet Protocols & Algorithms (MU4INX05 ) 6 ECTS: This course focuses on core network applications asked by users and services needed at the network level. The TCP/IP architecture and all the main associated protocols are detailed with particular emphasis on the end-to-end control mechanisms, classless addressing and routing hierarchy. Finally, the two main media technologies (Ethernet and Point-to-point) are studied before concluding with a presentation of residential access technologies.
Elective courses (12 ECTS)
Digital Communications (MU4INX06 ) 6 ECTS: The course Signal and Communication has the objective of providing the tools that are necessary for analyzing, modeling and designing digital transmission systems. The first part of the course focuses on the necessary bases in deterministic and random signal processing. The rest of the course shows their application to the physical layer of communications systems: architecture of a digital transmission chain, models and performance evaluation.
Advanced Routing in Large Networks (MU4INX20 ) 6 ECTS: This course will cover fundamental principles related to routing of computer networks. The goal is to teach networking fundamentals and techniques as it will provide students with a deep understanding of how the Internet works today, and where it is going in the near future.
I&E minor (12 ECTS)
I&E Basics (MU4INX09 ) 6 ECTS: This course offers introductory lectures on technology-based entrepreneurship, marketing and markets, organization and project management, new product and process development, entrepreneurial finance, human resource development.
Business Development Lab 1 (MU4INX08 ) 6 ECTS: This course is mainly concentrated on project work throughout the main phases of business modeling and development. It builds upon the Basic Course and will enable the student to conduct a fully‐fledged business development project. Invited entrepreneurs and practitioners hand over relevant applicable experience and knowledge in parallel to academic lectures.
Common core (6 ECTS)
Cloud Computing (MU4INX30 ) 6 ECTS: Introduction to cloud computing principal, IaaS (Infrastructure as a Service), PaaS (Plateform as a Service), and Saas (Software as a Service), cloud computing architectures, cloud providers, etc. Classical Distributed Algorithms applied to Clouds: Logical Time in distributed systems (logical clocks); Resource allocation and mutual exclusion; Broadcast protocols, membership, and synchronous view. Failures and fault tolerance: Unreliable Failure Detectors; Checkpoint and global state in distributed systems. Introduction to MPI and implementation of the above distributed algorithms in MPI. Courses with practical experiments: Virtualisation (Virtual machines and containers); Amazon Cloud (Concepts and deployment); Open Stack free open source (Deployment of Cloud Computing Service Infrastructure); Map Reduce (Programming model and an associated implementation).
Elective courses (12 ECTS)
Wireless and Mobile Computing (MU4INX19 ) 6 ECTS: The main objective of this course is to present how user mobility and wireless transmissions affect computer communications. The course first gives a basic understanding of the physical layer mechanisms. It presents the impact of wireless signal propagation, link budget, digital communications with an illustration based on spread spectrum technologies. It then presents a survey on existing wireless technologies with a strong emphasis on the Wi-Fi standard. Finally, this course details the impact of mobility on IP protocols, the benefits and limitations of the main proposals, as well as the constraints of data losses on existing transport protocols.
Network Design and Modeling (MU4INX21 ) 6 ECTS: The objective of this course is to introduce students to the problem of modeling and performance evaluation of systems. It aims at answering the following questions: Why models are important? When do we need to evaluate the performance of a system? How? What kinds of models and techniques are useful?
Internet of Things (MU4IN028 ) 6 ECTS: This course presents the new paradigm of objects interacting with the Internet. It covers the following items: IoT definition, overview, applications; potential offered by the different technologies and challenges; IoT architecture design, concepts and technologies.
I&E minor (12 ECTS)
Business Electives (MU4INX22 ) 6 ECTS: This course covers advanced topics on any of the following: business development, business finance, marketing, innovation management, intellectual property and market research.
Business Development Lab 2 (MU4INX23 ) 3 ECTS: Second part of Business Development Lab course (see below for description).
ICT Innovation Summer School (MU4INX24 ) 3 ECTS: This Summer School brings you together for two weeks to work in groups on business modeling and planning project in the context of a societally relevant thematic area. Summer Schools take place at different locations throughout Europe and bring together students and business partners. Summer Schools support study programs with a multidisciplinary and international dimension, and create a clear EIT Digital flavor to education.
Specialisation: Mobile Networking 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.
Compulsory courses (15 ECTS)
ELEC-E0210 Master’s Thesis Process (2 ECTS)
LC-xxxx Language course: Compulsory degree requirement, both oral and written requirements (3 ECTS)
Select at least 10 ECTS from below
ELEC-E7130 Internet Traffic Measurements and Analysis (5 ECTS)
ELEC-E7310 Routing and SDN (5 ECTS)
CS-C3170 Web Software Development (5 ECTS)
CS-E4640 Big Data Platforms (5 ECTS)
Electives (10 ECTS)
CS-C3130 Information Security (5 ECTS)
ELEC-E7120 Wireless Systems (5 ECTS)
ELEC-E7330 Laboratory Course in Internet Technologies (5 ECTS)
ELEC-E7210 Communication Theory (5 ECTS)
ELEC-E7470 Cybersecurity (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)
CS-E4310 Mobile Systems Security (5 ECTS)
ELEC-E7460 Modelling and Simulation (5 ECTS)
CS-E4300 Network Security (5 ECTS)
ELEC-E7810 Patterns in Communications Ecosystems (5 ECTS)
ELEC-E7450 Performance Analysis (5 ECTS)
CS-E4140 Applications and Services in Internet (5 ECTS)
CS-E4600 Algorithmic Methods of Data Mining (5 ECTS)
Jukka Manner received his MSc. (1999) and PhD. (2004) degrees in computer science from the University of Helsinki. He has 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, and was the co-chair of the NSIS working group. He has been principal investigator and project manager for over 15 national and international research projects. He has authored over 100 publications, including eleven IETF RFCs. In 2014 he received the Cross of Merit, Signals, and in 2015 the Medal for Military Merits for contributions in national defence and C4.
The specialisation Cloud & Distributed Computing focuses on running and managing complex cloud systems as well as on designing cloud-based applications like distributed, data-centric applications. Study and Master thesis projects can be performed on campus in conjunction with Telekom Innovation Laboratories (T-Labs) as an EIT partner, as well as with scientific institutions intensively collaborating with TU Berlin in the near surroundings (Fraunhofer institute, etc.). The data centre of TU Berlin tubIT offers hands-on experience with real cloud systems. The specialisation also contains a broad range of elective courses in the fields of cloud computing, related network technologies and data analytics.
Elective Courses (24 ECTS):
5G and IIoT Project (9 ECTS)
5th Generation Mobile Networks (6 ECTS)
Advanced Algorithms (9 ECTS)
Advanced Information Management - Heterogeneous and distributed Information Systems (6 ECTS)
Blockchain Technologies (6 ECTS)
Cloud Prototyping (12 ECTS)
Convex Optimization for the IoT (6 ECTS)
DBT – Database Technology (6 ECTS)
Digital Communities (6 ECTS)
Distributed Algorithms (6 ECTS)
Enterprise Computing (6 ECTS)
Fog Computing Project (12 ECTS)
Fog Computing Lecture (6 ECTS)
High-Speed Network Technologies with Lab (6 ECTS)
Hot Topics in Information Systems Engineering (3 ECTS)
IDB-PRA – Implementation of a Database Engine (6 ECTS)
IMPRO – Project Hot topics in Information Management (6 ECTS)
IMSEM – Seminar Hot topics in Information Management (3 ECTS)
Internet of Services Lab (9 ECTS)
Mobile Services (6 ECTS)
Network Security (6 ECTS)
Privacy Engineering (6 ECTS)
A message from Prof Axel Küpper:
"What if your city could turn into a gigantic computer that would let you interact through augmented reality and without any delay with the city’s infrastructure such as buildings, administration, public transportation, or traffic signs? What if the manufacturing industry evolved toward a distributed production of goods with low energy processes, collaborative robots, and integrated manufacturing and logistics? What if consumers could use applications from the Internet that do not forward their personal data to central computing centers abroad but would store them at the user’s preferred locations? Join this programme if you want to be driver of this transformation!"
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.
Compulsory courses (16 ECTS):
Smart City Services: From infrastructure to applications (4 ECTS)
Advanced Cloud Infrastructures (4 ECTS)
Scalable Network Infrastructures for Optimized Service Delivery (4 ECTS)
Personal Project on Cloud and Network Infrastructure (4 ECTS)
Elective courses (8 ECTS):
Making Data Speak: Advanced Probabilistic Data Analysis and Modeling (4 ECTS)
Advanced Wireless Networks: 5G and Beyond (4 ECTS)
The Art of Domain-specific languages: Let's Hack our own Languages (4 ECTS)
Data Mining and Visualization (4 ECTS)
Shadi Ibrahim received his PhD degree in Computer Science from Huazhong University of Science and Technology in Wuhan, China in 2011. In 2011 he joined Inria (the French National Institute for Research in Computer Science and Automation) where he is now a research scientist within the Stack team. Over the years he supervised several master thesis projects, 2 PhD students, and 1 post-doc researcher. He has served as programme co-chair for the 2018 IEEE International Congress on Big Data, the CEBDA 2018 Workshop, the 2017 ICA3PP conference, the 2017 EBDMA Workshop; and the PhD consortium of the 2014 CloudCom conference. His current research interests are in Big data management, Data-Intensive computing, HPC, cloud and Edge computing, virtualization technology, and file and storage systems.
Prof Guillaume Pierre is the local coordinator of the CCS programme at University of Rennes 1. He holds a PhD from University Evry-val d'Essonne, France and has spent 13 years at the VU University in Amsterdam before coming to Rennes. His research interests include cloud computing, platform-as-a-service, scalable Web application hosting, and the management of very large computing infrastructures. He has been strongly involved in several European research projects on Cloud computing: XtreemOS, Contrail, HARNESS, MC-DATA etc. He is the main architect of the ConPaaS integrated runtime environment for elastic cloud applications.
Smart Mobility Systems (MU5IN074 ) 6 ECTS: Mobile computing introduction: challenges and opportunities. The current state of the art (through research paper review). Mobile protocols and application design and implementation. Mobile systems design and implementation. Experimental evaluation of mobile systems.
Autonomic Networks (MU5IN063 ) 6 ECTS: Main scientific and technological issues of autonomous and ubiquitous networks. Principles, techniques, and examples related to the design of such networks are introduced, sometimes through similarities and differences with classical networks. Various aspects of self-* attributes are discussed, such as self-stabilization, self-configuration, self-organization, self-management, self-optimization, self-adaptiveness, etc. Passive mobility and proactive mobility are addressed and applied to sensor networks, swarms of robots, MANET, and VANET.
Cellular Networks (MU5IN050 ) 6 ECTS: This course presents network architecture and protocols of 2G-GSM, 3G-UMTS, 4G-LTE networks and the upcoming 5G technologies such as C-RAN, Mobile Edge Computing, SDN-NFV and network slicing. The course explains problems in both access network and core network of a mobile network operator and provides basic techniques for performance analysis, resource allocation, network dimensioning and optimization.
Internet Governance (MU5IN052 ) 6 ECTS: The objective of this EU is to acquire the basic knowledge as well as the analytical and methodological keys related to the technical, economic, legal, ethical and political issues that surround the governance and the use of the networks, as well as to the diversity stakeholders and public and private interests at stake. The French, European and international legislative contexts will be presented and analyzed.
Methodology for research in networking (MU5IN64 ) 6 ECTS:The objective of this course is to help students improve fundamental skills when conducting research in computer networking: critical reading, writing scientific papers, data analysis, and oral presentation.
Network analysis and mining (MU5IN062 ) 6 ECTS: Network Analysis and Mining is a course at the crossroad between data mining and graph algorithmic. We present concepts and tools for the analysis of real networks represented as graphs, such as online social networks, communication networks, the web, etc. Among the topics addressed in this course : measurement and dynamics of the Internet, community detection in social networks, research and filtering of information on the web.
Network data analysis (MU5IN076 ) 6 ECTS: Introduction to probability and statistics. Bayes's law. Data collection, parameter estimation and regression methods. Statistical fitting. Hypothesis testing and applications to identification of changes that influence the network operation. Clustering and classification. Time-series analysis.
Internet Measurement (MU5IN066 ) 6 ECTS This course presents the measures that can be performed in local networks, access networks and transit networks. It discusses which measures can be performed in the network, transport and application layers, or MAC. The student will learn to perform measurements using active measurement tools and passive measures, with practical exercises deployed on large experimental platforms.
Network Evolution with Virtualization and Automation (MU5IN056 ) 6 ECTS: The goal of this course is to present new technologies designed for advanced operations of IP networks in the last twenty years. The course starts with the evolution of IP switching and routing architectures, with a particular focus in traffic engineering and quality-of-service architectures. Then, the evolution of the Ethernet architecture and layer-2 protocols in general is presented, showing the extensions applied to let layer-2 protocols scale going from the local area to metropolitan and data-center network segments. The course shows how IP and Ethernet evolution recently converged on novels softwarized network environments, making use of data-plane programmability, network virtualization, cloud-native systems and automation frameworks.
I&E minor (6 ECTS)
MU5INX99 - I&E Study - 6 ECTS. This course is supervised business analysis work. It focuses on applying prior I&E knowledge and competences in a real business context. This course will allow students to tackle a business challenge with a robust explorative business analysis methodology
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.
Compulsory courses (7.5 ECTS)
Research Methodology and Scientific Writing (7.5 ECTS)
Elective courses (16.5 ECTS):
Modern Methods in Software Engineering (7.5 ECTS)
Distributed AI and Intelligent Agents (7.5 ECTS)
Stream Processing and Data Mining (7.5 ECTS)
ID2223 Scalable Machine Learning and Deep Learning
Management of Networks
Network Programming with Java
Networked Systems Security (P2)
Programming Web Services
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.
Specialisation: Beyond 5G 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 virtualization and control, softwarization and service provisioning.
Compulsory courses (12 ECTS)
Radar and 5G Architectures and Systems (9 ECTS)
Project course on Software Defined Networking (3 ECTS)
Elective courses (12 ECTS)
Network Modeling and Design (6 ECTS)
Design of Networks and Communication Systems (6 ECTS)
Softwarization and Virtualization Architectures (6 ECTS)
Project course (6 ECTS)
Big Data and Social Networks (6 ECTS)
Network Security (6 ECTS)
Communications Systems (6 ECTS)
Fabrizio Granelli is an associate 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.
What are the career opportunities?
More and more companies take advantage of the benefits that cloud networking can provide, and the demand for cloud and network professionals is booming. According to a study conducted by Deloitte for the EU in 2016, 1.6 million jobs could be created and the formation of 303 000 new businesses, in particular SMEs, is expected. Graduates qualify for jobs in international and local organizations in both technical and business roles. Typical titles are:
Cloud Software Engineer
Lead software Developer
Cloud Service Broker
Cloud Alliance Manager
Cloud Infrastructure Architect
Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They easily find jobs within companies that provide value-added products and services, such as telecom companies, e-commerce providers, e-learning, web developers, and cloud operators. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services. They will be able to
manage and contribute to (open) innovation and intrapreneurship projects and
evolve later towards managerial positions, as they are experts having a global understanding of complex ICT systems and services, including their impact on businesses
Also, they can start their own company to provide products and services, whether they relate to cloud computing infrastructures or to application domains based on them. They can also offer business development and consultancy services.
Students also qualify for a research and academic career through a follow-up doctoral project.
Digital Manufacturing and Fintech masters to boost a strong digital Europe
The EIT Digital Master School is launching two new technical majors within its European network of top technology universities. The Digital Manufacturing and Fintech masters will start in the academic year beginning in 2020. Students with a science, technology or mathematics background can apply for these new programmes from November 2019 onwards.
This launch was announced by Arturo Varona, Head of the EIT Digital Master School, at the opening of the School's application portal. “The EIT Digital Master School is a unique way of education. It provides technical education combined with entrepreneurship and innovation within a network of top technical universities. The skills our students learn are needed to build a strong digital Europe. Because technology developments evolve rapidly, we review our programme offer annually to stay relevant and offer the best education possible to prepare students for the tasks ahead.”
It is no surprise, then, that Fintech has been added to the Master School’s programme offering. “The increasing expansion of the financial industry, the growing demand for Fintech experts, and the need for an applied programme in this field were strong reasons to develop this Fintech Masters, explains Alvaro Pina Stranger, Fintech Programme Lead. “The Fintech Masters aims to train a new generation of entrepreneurial computer scientists who will be able to cover this important niche and positively impact our society.”
This masters prepares students for jobs in the Fintech sector including service executive, product manager, software developer, business development executive, analyst, technical account manager, researcher and IT project manager.
In the Fintech Masters, students learn in-depth theoretical and technical skills, like software development, database security and big data management, processing and storage. On top of that, they learn commercial skills to turn technology into business.
Digital transformation has changed the manufacturing sector from being process-driven to data-driven. Hence, the sector needs engineers and business leaders to think differently and manage the industry in efficient and productive new ways. The Digital Manufacturing programme is, according to Prof Dr Juan J Márquez, Vice-Dean for Institutional Relations and Promotion at UPM and programme lead for the Digital Manufacturing Masters, an integrated programme that combines knowledge of manufacturing and industrial engineering with the most modern computer science techniques to improve processes, devise new solutions and create business opportunities.
The programme offers technical courses in five pillars: Digital Manufacturing, the Industrial Internet of Things, Artificial Intelligence, Advanced Robotics and Operation Technologies Cybersecurity. As well as these, students learn how to generate business models for industrial applications in the Innovation & Entrepreneurship modules. “The integration of industrial and manufacturing engineering with computer science engineering will give students a commercial overview of the topics. This sets the masters apart from others available elsewhere.”
Márquez believes the market is waiting for people with these kinds of skills. “The industry is searching for professionals that combine knowledge of processes with a computer science background in order to produce cost effective solutions. This is definitely the profile of graduates of this masters.” He also foresees that some students will become entrepreneurs supporting digital transformation of industry.
The first year of the two-year Digital Manufacturing Masters can be taken at UPM in Spain, while students can complete their specialisation year at Tallinn Tech in Estonia, University of Turku in Finland, or ELTE in Hungary.
The EIT Digital Master School is a European network of top technical universities that, since 2012, has been offering technical masters programmes and a business minor in innovation and entrepreneurship. Students learn how to translate technology acumen into business success.