Postgraduate Studies (MSc) Program Digital Media - Computational Intelligence
18 monthsProgramme duration
1,800 EURTuition Fee/year
30 Sep, 2024Application Deadline
OctStarting Month
Programme 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/
Programme 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/
Admission Requirements
Required supporting documents
1. Application (electronic, accessible from the web page of the MSc. program ),
2. CV,
3. Copy of degree or diploma,
4. Certificate of academic recognition of the degree by DOATAP (when required),
5. Copies of recognized postgraduate study titles (if any),
6. Transcript of undergraduate and/or postgraduate course grades,
7. Diploma thesis grading (if applicable),
8. Certificate of good knowledge of English (level B2),
9. Publications and writing activities (if any ),
10. Any evidence of professional or research experience (duration and subject)
11. Two (2) names of faculty members or employers with contact details who are willing to provide reference letters for the candidate.
12. Photocopy of ID or Passport,
13. ID/Passport type photograph.
Related courses to the MSc. program: Signals-Systems, Stochastic Signal Processing, Pattern Recognition, Digital Signal Processing, Graphics, Digital Image Processing, Neural Networks-Deep Learning.
The criteria of the selection of candidates to be admitted to the MSc program are grouped into five parameters. Each parameter is rated in the scale 0-10 and the individual valuations are weighed with coefficients to score the candidates’ applications as follows.
a. The Grade Point Average (GPA) of the degree, the type of degree and the quality of the transcript with respect to the performance in the related courses to the MSc. program with a weighting factor of 35%. The minimum grade of the degree/diploma or first cycle must be at least equal to six (6) in the scale 0-10 (or equivalent if other grading scale applies).
b. The success in the personal interview, or evaluation of candidate’s CV and the graduation order among his/her fellow classmates with weighting factor 25%.
c. Any publications with a weighting factor 20%.
d. Proficiency in English above B2 or proficiency in other languages with a weighting factor 10%
e. The general research or professional activity with a weighting coefficient 10%
Prospective students of undergraduate programs, who are in the last semester of their studies and are expected to obtain their degree within of September 2024, submit a certificate of studies instead of a copy of the degree with a transcript. The finalization of t he registration of such candidates to the MSc. Program will be concluded after the submission of their degree.
The applications are submitted electronically via
https://eforms.auth.gr/csd-dmci-msc
until them 30/9/2024.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
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