The joint CoDaS M.Sc. Programme covers a range of timely industry topics relevant to modern fields of engineering consisting of competences from electrical engineering, automation, programming, communications, data science, artificial intelligence and machine learning, network security and Internet of Things (IoT).

Students will acquire expertise in a range of techniques covering the broad areas of mathematics, modelling and analysis of signals and systems, data science, artificial intelligence, security, networks and distributed systems.

During the Programme, students will also acquire expertise in other areas, such as project planning and management, teamwork and coordination, entrepreneurship, critical thinking and sustainability.  The joint CoDaS M.Sc. Programme will empower students to solve industry-relevant problems employing cutting-edge tools of artificial intelligence, automation and control theory, data analytics, network security, wireless systems, distributed systems and systems and signal processing.  Students will be trained in the design and analysis of machine learning models and communication systems, advance their knowledge in the broad field of computer networks and cybersecurity, and gain professional experience through tailored industry-relevant projects and entrepreneurship trainings.

The expertise gained through the joint CoDaS M.Sc. Programme features diverse programming skills, good mathematical background, goal-oriented problem solving, as well as efficient project planning and management.  In particular, students will boast competences in:

– emerging communication technologies: learning from experts in the domain of communication and networking, namely in 5G;

– cutting-edge automation competences: getting theoretical skills and practical expertise at the crossroads of communications and data science;

– emerging information technologies: learning from experts in evolving information technologies that define the future in industry and society;

– network security: learning to lead the transition of the industry towards security and privacy by design and by default in all types of networks, and more specifically in IoT;

– distributed computer networks: learning to command the tools to manage future distributed networks of an unprecedented scale, including ubiquitously deployed IoT;

– artificial intelligence in networking: possessing a broad range of tools to structure and analyse huge data sets and to extract meaning from patterns;

– data handling: appreciating the value created by collecting, communicating, coordinating and leveraging data from connected devices;

– programming skills: obtaining practical programming expertise in a range of industry-relevant languages;

– project and team working: collecting practical experience through projects in relation with industry.

The joint CoDaS M.Sc. Programme comprises 2 years of studies:

• Year 1: basic studies common to all Partner Universities, taken at the home Partner University: 60 ECTS credits

– General studies (languages, international culture, soft skills): 6 to 12 ECTS credits

– Mathematics & Programming: 5 to 12 ECTS credits

– Communications: 10 to 18 ECTS credits

– Data Science: 8 to 12 ECTS credits

– Specialisation: 5 to 10 ECTS credits

– Project: 6 ECTS credits
(it is envisaged that this project will be done in teams of 3 students, one from each Partner University)

• Year 2: specialisation studies, specific to each Partner University, taken at the host Partner University: 60 ECTS credits

– Communications, Automation and Machine Learning (Aalto U.): 30 ECTS credits

– Communications, Data Science and Security (Grenoble INP): 30 ECTS credits

– Communications and Data Science (Técnico Lisboa): 30 ECTS credits

– Communications, Machine Learning, Medical Informatics & Biomedicine (TU Braunschweig): 30 ECTS credits

– Communications, 5G/6G and Internet of Things, and Data Science (UPC): 30 ECTS credits

– M.Sc. Thesis: 30 ECTS credits
(the thesis is performed at the host Partner University where the specialisation courses have been taken, being envisaged that it is supervised by a professor from the host Partner University and co-supervised by a professor from the home Partner University)

A list of potential courses is shown below, but a student must be aware that there are internal guidelines to be fulfilled on the number of credits in certain areas.

Year	Area	Credits	Course Name	ECTS
1st	General studies	12	Engineering Project Management	6
			Communication in Engineering	3
			Engineering Practice	3
	Communications	18	Digital Transmission	6
			Distributed Applications in the Internet	6
			High Speed Networks	6
			Learning-Based Multimedia Processing	6
			Mobile Communications Systems	6
			Mobile Networks and Internet of Things	6
			Multimedia Communication	6
			Network Algorithms and Applications	6
			Network Architecture and Management	6
			Optical Communication Systems	6
			Programmable Networks	6
	Data Science	24	Artificial Intelligence and Decision Systems	6
			Computability and Complexity	6
			Computational Statistics	6
			Cryptography and Communications Security	6
			Data Analysis and Integration	6
			Data Coding and Compression	6
			Decision Support Models	6
			Information Systems and Data Bases	6
			Machine Learning	6
			Multivariate Analysis	6
			Object Oriented Programming	6
			Optimization and Algorithms	6
			Statistical Methods in Data Mining	6
	Project	6	Project in Electrical and Computers Eng.	6
2nd	Communications	18	Digital Transmission	6
			Distributed Applications in the Internet	6
			High Speed Networks	6
			Learning-Based Multimedia Processing	6
			Mobile Communications Systems	6
			Mobile Networks and Internet of Things	6
			Multimedia Communication	6
			Network Algorithms and Applications	6
			Network Architecture and Management	6
			Optical Communication Systems	6
			Programmable Networks	6
	Data Science	12	Artificial Intelligence and Decision Systems	6
			Computability and Complexity	6
			Computational Statistics	6
			Cryptography and Communications Security	6
			Data Analysis and Integration	6
			Data Coding and Compression	6
			Decision Support Models	6
			Information Systems and Data Bases	6
			Machine Learning	6
			Multivariate Analysis	6
			Object Oriented Programming	6
			Optimization and Algorithms	6
			Statistical Methods in Data Mining	6
	Thesis	30	Thesis	30

The joint CoDaS M.Sc. Programme imposes the mobility of students from the 1^st year to the 2^nd year:

– in the 1^st year, the students are at the home Partner University, where they will take the basic studies;

– in the 2^nd year, the students are at the host Partner University, where they will perform the specialisation;

– the distribution of students between Partner Universities in the mobility will be uniform, i.e., the students leaving the home Partner University will be equally split between the host Partner Universities (currently, given the annual intake of 10 students, each host Partner University will receive 5 students from each of the other Partner Universities);

– students will apply for the 2^nd year mobility at the home Partner University, and they will be ranked according to the grades of the courses taken in the 1^st year, being accepted at the host Partner University based on this ranking.

A Summer School will be organised to gather all students in transition from the 1^st year to the 2^nd year, as well as faculty.  This Summer School will be held in July, in rotation among Partner Universities, with a duration of 2 weeks: 1 week for lectures and 1 week for team work on chosen projects.  ECTS credits may be awarded to students.

You can contact the Programme Coordinator at Técnico Lisboa (University of Lisbon) for further information.