Useful Info

MSc  Digital Media – Computational Intelligence

Awards available MSc
Programme length 18 months
Location of programme Aristotle University Campus
Part-time study available Yes
Start date October 2019


Programme overview

This MSc covers a range of advanced topics related to digital media. Digital media collectively refer to content found in audio, images, video, written and aural speech, biosignals, graphics, and virtual reality. To analyze the aforementioned content, one needs good foundations in signal processing, computer vision, graphics, pattern recognition/machine learning and computational intelligence, including associated enabling technologies (e.g., language technologies, deep learning, computer animation, brain computer interfaces).  The MSc provides an excellent opportunity to develop the skills required for careers in some of the most dynamic fields in processing and analysis of big data extracted from multimedia, social networks, the web, the internet of things, without excluding complex adaptive systems of social life.

This programme builds on the internationally recognized research strengths of the Artificial Intelligence and Information Analysis Laboratory within the School of Informatics at the Aristotle University of Thessaloniki. This research team conducts pioneering research in the required aforementioned fundamental disciplines and work 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 industry.

Programme structure

This programme comprises 8 courses distributed evenly between the first two semesters, followed by a MSc diploma thesis reporting on the outcome of a substantial research project completed during the third semester. Courses may be taught in English. The programme has been offered for 13 years. More than 105 young researchers completed successfully the MSc program. The MSc program was reinstated anew according to the Greek law in 2018. 22 enthusiastic graduate students were enrolled the past academic year.

The 8 courses will be chosen from the following list:

Autumn Semester (4 elective courses) Spring Semester (4 elective courses)
Biosignal Analysis – Neuroinformatics Autonomous System Perception
Bioinformatics – Digital Biology Deep Learning & Multimedia Information Analysis
Complex Systems: From the society to the web*

Dynamic Systems: Applications to signals, robotics, and finance*

Language Technology
Computational Intelligence – Statistical Learning Signal Processing for Brain Interfaces
Computational Vision Virtual Reality
Games and Artificial Intelligence
Statistical Signal Processing – Time Series

*Offered every other year.


This is a challenging three semester taught master’s degree, covering all aspects of current and future digital media processing and analysis and associated technologies. 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 medical informatics, finance, innovation, consultancy, project management, and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading national multinational companies: NCR, SRI International, BETA CAE Systems, Wind Hellas, for example. Some graduates follow a more research-oriented career path, with a number of students going on to study for PhDs 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; and Aristotle University of Thessaloniki as well as man research institutes (e.g., ITI/CERTH) or government agencies (e.g., forensics experts in the Hellenic Police).


Full-time: € 1800 (for the entire three-semester programme)

At least 30% of the registered graduate students are entitled to a scholarship.

Entry requirements

A degree (or an international equivalent) is required in computer science or electrical and computer engineering or a numerate physical science discipline.

The list of qualifications, the application procedure, and the governing policies can be found at

Submit your application now!


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