Visual Computing and Communication (VCC)

Why study Visual Computing and Communication?

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.

Why choose Visual Computing and Communication at EIT Digital?

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

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.

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 structure of the programme, please click here.

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

Who can apply?

Bachelor’s holders in Computer Science, Information Technology, Mathematics, Statistics or Electrical Engineering (with a specialisation in information technology).

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

What can I study at the entry and exit points?

Entry - 1st year

Delft University of Technology (TUD)

Delft University of Technology (TUD)
Local Programme Coordinator: Prof. Anna Vilanova

Common Technical courses:

  • Computer graphics and Visualisation (IN4086)
  • Signal processing (IN4309)
  • Web engineering (IN4252)
  • Communication networks (EE4C06)

Selected Elective courses:

  • 3D Computer Graphics and Animation (5 ECTS)
  • Selected Topics in Multimedia Computing (5 ECTS)

Royal Institute of Technology (KTH)

Royal Institute of Technology (KTH)
Local Programme Coordinator: Prof. Markus Flierl

Common Technical courses:

  • Computer graphics and Visualisation (DH2320)
  • Signal processing (EQ1220)
  • Web engineering (ID2208)
  • Communication networks (EP2120)

Selected Elective courses:

  • Machine Learning (6 ECTS)
  • Visualisation (7.5 ECTS)

University of Trento (UniTN)

University of Trento (UniTN)
Local Programme Coordinator: Prof. Nicola Conci

Common Technical courses:

  • Digital Signal Processing (145624, 9 ECTS)
  • Advanced Network Modeling and Design (145448, 9ECTS)
  • Recognition Systems (145461, 9 ECTS)
  • Multimedia Data Security (145614, 6 ECTS)

Selected Elective courses:

  • Recognition Systems (9 ECTS)
  • Multimedia Data Security (6 ECTS)

Exit - 2nd year, specialisation

Communication Services and Applications at BME

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.

Selected Technical courses:

  • Networked Multimedia Systems and Services (VIHIMA09, 4 ECTS)
  • Communication Technologies for Autonomous Vehicles (VIHIM008, 4 ECTS)
  • Project in Media Communications Services (VIHIM006, 4 ECTS)

Local Programme Coordinator: Prof. Vilmos Simon

Vilmos SimonVilmos 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.

Computer Vision and Multimedia Analysis at UniTN

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.

Selected Technical courses:

    • Computer Vision and Multimedia Analysis (145630, 6 ECTS)
    • Project course on Media Retrieval (145634, 6 ECTS)
    • Big Data and Social Networks (145449, 6 ECTS)
    • Knowledge and Data Integration (145919, 6 ECTS)

    Local Programme Coordinator: Prof. Nicola Conci

    Nicola ConciNicola 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.

    Mobile Visual Computing at KTH

    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.

    Selected Technical courses:

    • Image and Video Processing (EQ2330, 7.5 ECTS)
    • Computational Photography (DD2429, 6 ECTS)
    • Analysis and Search of Visual Data (EQ2425, 7.5 ECTS)

    Local Programme Coordinator: Prof. Markus Flierl

    Markus FlierlMarkus 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.

    Visual Analytics and Pattern Recognition at TUD

    This specialisation is implemented at the Department of Electrical Engineering, Mathematics and Computer Science. We offer a rich environment with a strong knowledge and research base in diverse topics such as visualisation, visual analytics, computer graphics, machine learning, pattern recognition, and image processing. Medical applications are of special interest and we work closely with hospitals and companies in the health care field.

    Selected Technical courses:

    • Medical Visualisation (IN4307, 5 ECTS)
    • Seminar Computer Graphics (IN4310, 5 ECTS)
    • Pattern Recognition (IN4085, 6 ECTS)

    Local Programme Coordinator: Prof. Anna Vilanova

    Anna VilanovaAnna Vilanova is Associate Professor since August 2013 at the Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Computer Graphics & Visualisation Group at the University of Deft, the Netherlands. Prior to this position, she was Assistant Professor at the Biomedical Image Analysis group of the Biomedical Engineering Department at the Eindhoven University of Technology. She is leading a research group in the subject of multivalued image analysis and visualisation, focusing on Visual Analytics, Diffusion Weighted Imaging and 4D Flow. Her research interests include visual analytics, medical visualisation, volume visualisation, multivalued visualisation, and medical image analysis. In 2005, she was awarded a NWO-Veni personal grant with title “Visualisation of global tensor information for diffusion tensor imaging”. In 2014, she got a NWO-Aspasia. She is member of the international programme committee of several conferences (e.g., IEEE Visualisation and EG- IEEE VGTC-EuroVis). She has been chair and editor of relevant conferences and journals in her field of research (e.g., EuroVis 2008, Computer & Graphics). She is member of the steering committee of IEEE VGTC EuroVis since 2014. She is member of the ICT research Platform Netherlands (IPN) since 2016.

    Web-based Applications at Aalto

    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.

    Selected Technical courses:

    Local Programme Coordinator: Prof. Petri Vuorimaa

    Petri VuorimaaPetri Vuorimaa is the local coordinator of the programme at Aalto University, Finland. He is a full professor at the department of computer science, School of Science. He has both MSc (1990) and DSc (1995) degrees from Tampere University of Technology, Finland. Prof. Vuorimaa has supervised over 180 master's theses and 9 doctor of science theses. Currently, his research interest includes web applications and web of things.



    Any questions about the technical content of the programme? Contact the programme lead: Prof Markus Flierl,

    Interested? Learn more
    about the application process

    Any other questions? Click on the button 'Contact us to learn more!' on the top right-hand side of the page.

    Are you interested to apply? Check out or application guidelines. Deadlines for a start in September 2018 are February 1 for non-EU citizens and April 15 EU/EEA/CH citizens.

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