The program involves 8 compulsory courses (60 ECTS in total), a final year MSc Thesis (30 ECTS), and graduate –level seminars and workshops (2 ECTS).

Courses have been designed following an integrated and holistic approach, to provide students with knowledge, skills, competencies and experiences relevant to the topic of the MSc program, as categorized below:

• Theory (T): provide specific theoretical and methodological skills necessary to understand how to monitor, control, and optimize CIS.
• Tools (O): ICT approaches for addressing the problems in monitoring, control, management, and security of CIS, focusing on knowledge and skills necessary to introduce intelligence in CIS.
• Applications (A): address specific current tasks and challenges in intelligent CIS based on realistic use cases in the applications of power systems, intelligent transportation systems, smart water networks, and telecommunication networks. The topics of modeling, simulation, and management are examined in relevance to the specific uses cases. Additional challenges include topics in fault detection and isolation, reliability and availability, fault tolerance, Internet of Things (IoT), and Cyber Physical System integration (s/w and h/w), etc.
• Transferable Skills (S): including project management and technology transfer for Innovation and Entrepreneurship (including IPR management), communication skills, and ICT skills.
• Practical/Research Experience (P): includes the final year project which constitutes a significant piece of research that will be submitted as a dissertation (MSc Thesis). The project enables students to carry out research to deepen their scientific and practical knowledge and skills. Can be carried out in collaboration with industry.

Courses by semester

The structure of the program is summarized in the table below, on a semester basis. The type of each course is indicated by T-Theory, O-Tools, A-Application, S-Transferable Skills, and P-Project leading to MSc Thesis.

First Semester (30 ECTS)

• (T) ECE 801 – Monitoring and Estimation (7 ECTS)
• (T) ECE 802 – Optimization of CIS (7 ECTS)
• (O) ECE 803 – Security of CIS (7 ECTS)
• (A) ECE 807 – CIS Applications I – Fundamentals 
  (9 ECTS)

Second Semester (30 ECTS)

• (T) ECE 804 – Industrial Control (7 ECTS)
• (O) ECE 805 – Machine Learning (7 ECTS)
• (S) ECE 806 – Innovation and Entrepreneurship 
  (7 ECTS)
• (A) ECE 808 – CIS Applications II – Advanced 
  (9 ECTS)

Third Semester (30 ECTS)

• (P) ECE 809/810 – MSc Thesis for Intelligent CIS I & II (30 ECTS)

• (S) ECE 811 – MSc Seminars & Workshop (2 ECTS)

Integration of CIS Model representation & Use Cases to Coursework

A significant feature of the program is the integration of CIS model representation and use cases to coursework. Specifically, mathematical models representing CIS at different abstraction layers and realistic use cases for intelligent CIS will be used throughout the various courses in order to:

• Provide students with realistic examples on how to model, simulate, monitor, control, manage and optimize such systems
• Examine possible commonalities/differences/interdependencies among various CIS domains
• Better illustrate various concepts

Models and use cases from electric power and renewable energy systems, smart water systems, and intelligent transportation systems are considered in a stand-alone manner, or in a high-level integrated simulation platform developed at KIOS CoE. Models and use cases for CIS cybersecurity and telecommunication networks used in CIS systems are examined in a horizontal dimension across one or more CIS, allowing to better understand how such timely and important topics must be integrated in intelligent critical infrastructures.

The two application courses of the MSc program revisit these models and use cases focusing on current and future challenges in CIS systems, such as energy efficiency, safety, security, reliability, fault detection, big data processing, h/w & s/w design integration in IoT, etc.