Visual Computing and Communication

Degree:
Visual Computing and Communication (VCC)

ECTS:
120 ECTS

Field of Study:
Computer Science and Information Technology

Duration:
2 years, full-time

Eligibility:
Hold a Bachelor of Science or be in the final year of studies of... (read more).

Tuition fees & scholarships:
For EU and non-EU citizens.
More information.

Language of Instruction:
English
More information.
Watch the video.

Partner Universities:
Check our "Mobility Map".

Application period
:
November 2018 - 1 February 2019
15 February 2019 - 15 April 2019

Visual Computing and Communication (VCC)

Why study Visual Computing and Communication at EIT Digital?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

Haoyun Zhang''Studying and working in a multicultural environment is a challenging but very exciting thing, as culture differences might be the obstacle. However, learning how to work with people from different cultural backgrounds is necessary. Sometimes I am surprised with the thoughts from my partners that I had never heard before but they work very well. It is quite nice to know and learn different ways of thinking as well as different cultures.''

Haoyun Zhang
EIT Digital Master Student, Delft University of Technology


Andor Szamos''As a European student, I believe that to achieve goals one has to know several languages. Europe is a multinational and multicultural atmosphere with strong economy which requires fluent language knowledge in all aspects. In business and in research, communication is one of the most important soft skills.''

Andor Szamos
EIT Digital Master Student, Delft University of Technology


Qihui Wang''If you know where your passion lies, it is important for you to choose a programme that suits you the best. There are many companies and start-ups, thus, lots of opportunities for doing your thesis project in industry.''

Qihui Wang
EIT Digital Master Student, Royal Institute of Technology


Prof. Markus Flierl''Study 'Visual Computing and Communication' at the EIT Digital Master School and graduate from leading European universities. Join a growing community in this challenging and rewarding field.''

Prof. Markus Flierl
Programme Coordinator

Who can apply?

If you wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of:

  • Computer Science
  • Electrical Engineering / Electronics
  • Or similar areas

Previous education must have included basic mathematics courses within linear algebra, Fourier methods and probability theory, as well as basic object-oriented programming.

Kindly note that relevant work experience can compensate a non-strictly matching bachelor degree. Please justify your work experience in your motivation letter or resume. Once your papers are received, the selection committee will make the final decision on whether your bachelors and work experience are sufficient as prerequisites for the track you have applied for.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?


Click on the image to download a higher resolution version of the map (PDF format).

Mobility map

Please note that both ENTRY and EXIT universities might be subject to changes. Kindly check before applying.

What can I study at the entry and exit points?

Entry - 1st year, common courses

Exit - 2nd year, specialisation

Budapest University of Technology and Economics (BME), Hungary

Link to the university:
Programme
Contact: Prof. Vilmos Simon; svilmos@hit.bme.hu

Specialisation: Communication Services and Applications

This specialisation focuses on communication technologies for visual data and multimedia in general in smart cities, presenting those new technologies and services which will arrive by autonomous vehicles (self-driving cars, unmanned aerial vehicles, and robot swarms) to our digital cities. Students who complete this specialisation obtain a thorough understanding of the state-of-the-art technologies of visual data and multimedia communications and are capable of designing, implementing and operating communications services in the automated cities of the future.

Facilities for students include an Apple, a Cisco and a vehicle communication laboratory, where they can design and implement new communication services for smart cities. Interesting I&E and master thesis tasks and internship opportunities will be offered in cooperation with industrial members and partners of our MEDIANETS Lab, such as Ericsson, Nokia, Magyar Telekom and Commsignia.

Compulsory Courses:

VIHIMA09

Networked Multimedia Systems and Services

4 ECTS

VIHIM008

Communication Technologies for Autonomous Vehicles

4 ECTS

VIHVMA01

Broadband Telecommunications and Broadcasting Systems

4 ECTS

 

I&E Study

6 ECTS

VIHIM003
VIHIM004

Diploma Thesis

30 ECTS

Selected Elective Courses:

VITMMA09

Sensor Networks and Applications

4 ECTS

VITMMA00

Internet Ecosystem and its Evolution

4 ECTS

VITMMA02

Cloud Computing

4 ECTS

VIHIM000

Communication Acoustics

4 ECTS

VIIIMB01

GP GPU Applications

4 ECTS

VIIIMB02

Parallel Programming Laboratory

4 ECTS

Vilmos Simon’s professional career has been a combination of outstanding academic record and extensive innovation and business experience. The company he co-founded became market leader in social networks in the region. He is the Head of the Laboratory of Multimedia Networks (MEDIANETS) within the Dept. of Networked Systems and Services. He is one of the founder mentors of the BME Venture Mentoring Service modelled by MIT, which supports innovation and entrepreneurial activity throughout the BME community and beyond by matching both prospective and experienced entrepreneurs with skilled volunteer mentors. The members of the laboratory have been active in numerous national and EU projects relevant to this specialisation, e.g. the FP7 CONCERTO project or the FIRST – Future Internet Research, Services and Technology national project

University of Trento (UniTN), Italy

Link to the university: https://www.unitn.it/en
Programme
Contact: Prof. Nicola Conci; nicola.conci@unitn.it

Specialisation: Computer Vision and Multimedia Analysis

The objective of this specialisation is to bridge the gap between Signal Processing technologies applied to multimedia data, and the relevant fields of Media Analysis and Pattern Recognition and Knowledge Representation that allow associating a semantic to media objects. The programme is offered by the Department of Information Engineering and Computer Science (DISI), whose members are very active in these research areas.

Students will benefit not only of the facilities available at UniTN, but also of a preferential access to a network of partner companies, SMEs, and research institutions where they will have the possibility of making experiences, strengthening their entrepreneurial profile, carrying out internships.

Compulsory Courses

Selected Elective Courses

Nicola Conci received his PhD degree from the international ICT Doctoral School of Trento, Italy, in 2007. He is currently Assistant Professor at the Department of Information Engineering at the same university, where he teaches the courses of Computer Vision and Multimedia Networking. In 2008 and 2009, he was Research Assistant in the Multimedia and Vision Group at the Queen Mary, University of London (UK). His research interests are in the field of video analysis for monitoring and surveillance applications with particular attention to behavioral analysis and recognition. He is co-founder of the startup Xtensa s.r.l.

Royal Institute of Technology (KTH), Sweden

Link to the university: www.kth.se/en
Programme
Contact: Prof. Markus Flierl; markus.flierl@ee.kth.se

Specialisation: Mobile Visual Computing

This specialisation focuses on the processing of visual information in a communication-constrained (mobile) environment. Topics range from coding of visual data (video, light fields, holographic data) to mobile visual search. Students perform their master thesis projects at Ericsson, Google, Skype, or other strong industrial players in the greater Stockholm area.

Compulsory Courses:

Selected Elective Courses:

Markus Flierl is Associate Professor of Electrical Engineering at KTH Royal Institute of Technology, Stockholm. He received the Doctorate in Engineering from Friedrich Alexander University, Germany, in 2003. From 2000 to 2002, he visited the Information Systems Laboratory at Stanford University. From 2003 to 2005, he was a senior researcher with the Signal Processing Institute at the Swiss Federal Institute of Technology Lausanne, Switzerland. From 2005 to 2008, he was Visiting Assistant Professor at the Max Planck Center for Visual Computing and Communication at Stanford University, California. He has authored the book “Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond.” He was the recipient of the SPIE VCIP 2007 Young Investigator Award. Currently, he serves as an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology. His research interests include visual computing and communication, mobile visual search, and video representations.

Aalto University (Aalto), Finland

Link to the university: https://www.aalto.fi/
Programme
Contact: Prof. Petri Vuorimaa; petri.vuorimaa@aalto.fi

Specialization: Web-based Applications

This specialisation focuses on web-based applications. Students learn web programming in general and more advanced HTML5 based web technologies. The topics covered include both back-end and front-end development of web services. We focus especially on visualisation and real-time communication in web applications. In addition, students can select elective courses in computer graphics, computer vision, machine learning, and data science.

Compulsory Courses:

  • SCI-E1010 Introduction course for Master's students: Career and working life skills - 1 ECTS
  • CS-E4460 WWW Applications - 5 ECTS
  • LC-xxxx Language course: Compulsory degree requirement - 3 ECTS
  • CS-E5425 I&E Study Project - 6 ECTS
  • Master Thesis 30 ECTS

Selected Elective Courses:

  • CS-E4002 Special Course in Computer Science - 1-10 ECTS
  • CS-E4003 Special Assignment in Computer Science - 1-10 ECTS
  • CS-E4004 Individual Studies in Computer Science - 1-10 ECTS
  • CS-E4450 Explorative Information Visualization - 5 ECTS
  • CS-E5220 User Interface Construction - 5 ECTS
  • CS-E4000 Seminar in Computer Science - 5 ECTS
  • CS-E4100 Mobile Cloud Computing - 5 ECTS
  • CS-E4140 Applications and Services in Internet - 5 ECTS
  • CS-E5610 Social Media - 4 ECTS
  • CS-E5740 Complex Networks - 5 ECTS
  • CS-C3170 Web Software Development - 5 ECTS
  • CS-E4850 Computer Vision - 5 ECTS
  • CS-E4640 Big Data Platforms - 5 ECTS

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.


Do you have questions about the technical content of the programme?

Contact the Programme lead:Prof Markus Flierl, mflierl@kth.se

Are you interested in this programme?

Any other questions?

Degree:
Visual Computing and Communication (VCC)
ECTS:
120 ECTS
Field of Study:
Computer Science and Information Technology
Duration:
2 years, full-time
Eligibility:
Hold a Backelor of Science or be in the final year of studies of... (read more).
Tuition fees & scholarships:
For EU and non-EU citizens.
More information.
Language of Instruction:
English
More information.
Watch the video.
Partner Universities:
Check our "Mobility Map".
Application period:
November 2018 - 1 February 2019
15 February 2019 - 15 April 2019

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