CoDaS - International M.Sc. Program
This 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 the Internet of Things.
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 their studies, students will also acquire expertise in other areas, such as project planning and management, teamwork and coordination, entrepreneurship, critical thinking and sustainability. The Program 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 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.
This expertise is gained in CoDaS by promoting 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; students will learn from experts in the domain of communication and networking;
- cutting-edge automation competences; the Program boasts theoretical skills and practical expertise at the crossroads of communications and data science;
- emerging information technologies; students will learn from experts in evolving information technologies that define the future in industry and society;
- network security; security is the weak spot in many contemporary technologies, so students will learn 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: distributed systems have become the norm and are ubiquitously deployed through IoT, so students will learn to command the tools to manage future distributed networks of an unprecedented scale;
- artificial intelligence in networking: data science has found its place in many areas of engineering in recent years and is increasingly dominating also networking domains, students being trained to possess a broad range of tools to structure and analyse huge data sets and to extract meaning from patterns, as well as to appreciate the value created by collecting, communicating, coordinating and leveraging the data from connected devices;
- programming skills; students will gather practical programming expertise in a range of industry-relevant languages;
- project and team working; students will collect practical experience through projects in relation with industry.
Structure and detailed content
The program targets both European and international students. Students should have a B.Sc./B.Eng. Degree (with a study duration of at least 6 semesters or 180 ECTS credits) in a technical area related to the programme, such as computer science, electrical or computer engineering. A good background in mathematics or communications is expected from students.
Compatibility of academic programs
Student transition between years
As mentioned above, students will take the 1st year courses at the Partner at which they have enrolled, and they go to another Partner for the 2nd year specialization.
The distribution of students between Partners in the transition will be uniform, i.e., the students leaving from a Partner’s Year 1 will be equally split between the other Partners for Year 2 (currently, given the intake of 10 students, each Partner will get 5 students from each of the other universities).
Students will apply for Year 2 and they will be ranked according to the grades of the courses taken in Year 1. The acceptance of students for Year 2 will be based on this ranking.
A Summer School will be organized to gather all students in transition from Year 1 to Year 2 as well as faculty. This Summer School will be held in July, in rotation among Partners, 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.
The Tuition Fees at each Partner are defined by the Partner.
The students will pay the fees at the Partner in which they register for Year 1.
Target time for program start
Date of update March 22, 2021