MSc in Digital Media - Computational Intelligence

Semester A (4 elective courses)

• Bioinformatics and Digital Biology
• Biosignal Analysis - Neuroinformatics
• Computational Intelligence - Statistical Learning
• Computational Vision
• Dynamic Systems: Applications to Signals, Robotics, and Finance*
• Complex Systems: From the Society to the Web*
• Games and Artificial Intelligence
• Statistical Signal Processing - Time Series

* Offered every other year

Semester B (4 elective courses)

• Autonomous Systems Perception
• Deep learning and Multimedia Information Analysis
• Language Technology
• Signal Processing for Brain Interfaces
• Virtual Reality

Semester C

Postgraduate Diploma Thesis

1) The student should be able to search for relevant information so that to select one of the subjects offered. 2) The student should prepare a thesis of research or technical content having a sufficient degree of originality or demonstrates good knowledge and in-depth understanding of a specific topic of current research or technical interest. 3) The student should be able to organize his research material (bibliography, data, code, experimental results) and get familiarized with writing a scientific document. 4) The student should adopt a code of ethics, i.e., not to plagiarize, to use tools, such as turnitin, to limit extensive copying of material from the internet, to avoid using tools, such as ChatGPT or assigning the preparation of his/her thesis to third parties. 5) The student should become familiar with the use and citation of bibliographic references. 6) The student should be able to organize and present the research results in a scientific conference or a peer-reviewed article submitted to a scientific journal.

This programme builds on the internationally recognized research strengths of the Artificial Intelligence and Information Analysis Laboratory School of Informatics at the Aristotle University of Thessaloniki. This research team conducts pioneering research in the aforementioned fundamental disciplines and application areas. The laboratory is well equipped with first-class computational facilities and state-of-the-art measurement equipment, including multiple cameras, microphone arrays, motion capture magnetic sensors, brain interfaces, and drones. The MSc provides in-depth training in design, analysis, and management skills relevant to the theory and practice of related industries.

This is a challenging three-semester taught master's degree, covering all aspects of signal processing, computational vision, computational intelligence, graphics, and robotics It will prepare you for a diverse range of exciting careers - not only in the digital media and computational intelligence field, but also in areas such as autonomous systems, brain-computer interfaces, bioinformatics and digital biology, finance, innovation, consultancy, project management, and employment in government agencies.

Our graduates have gone on to have rewarding careers in some of the leading national or multinational companies, such as NCR, SRI International, Amazon, Deloitte U.K., BETA CAE Systems, Wind Hellas, or government agencies (e.g., forensics experts in the Hellenic Police).

Many graduates have chosen a research-oriented career, pursuing doctoral studies and/or gaining faculty positions at leading universities, such as Texas A&M, USA; Imperial College, U.K.; Henan University, China; Trinity College, Ireland; Middlesex University, U.K.; University of Maastricht, The Netherlands; National and Kapodistrian University of Athens; Aristotle University of Thessaloniki as well as main research institutes (e.g., ITI/CERTH).

This program comprises 8 courses distributed evenly between the first two semesters, followed by an MSc diploma thesis reporting on a substantial research project's outcome during the third semester.