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Aristotle University of Thessaloniki
Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
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Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
Aristotle University of Thessaloniki, Thessaloniki, Greece
# 251-300QS Subject Rankings
18 monthsProgram duration
1,800 EURTuition Fee/year
30 Sep, 2024Application Deadline
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme Overview
Awards available: MSc
Length: 18 months
Part-time study available: Yes
Start date: Every October
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 are
taught in English. The programme has been offered for 20 years. It has been
reinstated anew according to the Greek law.
The 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, biological data, graphics, and virtual reality. To analyze such content, one needs good foundations in signal processing, computational vision, graphics, digital biology, machine learning and computational intelligence, including associated enabling technologies (e.g., deep learning, bioinformatics, language technologies, 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 and biological databases, social networks, robotics and autonomous systems, without excluding complex adaptive systems of social life.
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Careers
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).
Fees
Full-time: € 1800 (for the entire three-semester programme).
Entry requirements
A degree (or an international equivalent) is required in computer science or
electrical and computer engineering or a numerate physical science discipline.
Further information about the programme is available at
https://dmci.csd.auth.gr/en/msc-useful-info/
The list of qualifications, the application procedure, and the governing policies
are available at
https://dmci.csd.auth.gr/en/
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme Overview
Awards available: MSc
Length: 18 months
Part-time study available: Yes
Start date: Every October
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 are
taught in English. The programme has been offered for 20 years. It has been
reinstated anew according to the Greek law.
The 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, biological data, graphics, and virtual reality. To analyze such content, one needs good foundations in signal processing, computational vision, graphics, digital biology, machine learning and computational intelligence, including associated enabling technologies (e.g., deep learning, bioinformatics, language technologies, 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 and biological databases, social networks, robotics and autonomous systems, without excluding complex adaptive systems of social life.
Normal 0 false false false EL ZH-TW AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}
Careers
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).
Fees
Full-time: € 1800 (for the entire three-semester programme).
Entry requirements
A degree (or an international equivalent) is required in computer science or
electrical and computer engineering or a numerate physical science discipline.
Further information about the programme is available at
https://dmci.csd.auth.gr/en/msc-useful-info/
The list of qualifications, the application procedure, and the governing policies
are available at
https://dmci.csd.auth.gr/en/
Admission requirements
Important Dates
Application
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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Engineering and Technology (1)
Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
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