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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.
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
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.
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
Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
1,800 EUR
Domestic (Out of State)
1,800 EUR
International
1,800 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
Aristotle University of Thessaloniki, Thessaloniki, Greece
# 301-350QS 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
Read more
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/
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Read more
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/
Read lessAdmission Requirements
Tuition fees
Domestic
Domestic (Out of State)
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
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QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
More programs from the university
Engineering and Technology (1)
Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
Frequently Asked Questions