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Study at KTH Royal Institute of Technology

 Stockholm, Sweden

ICT Innovation
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ICT Innovation

Master at KTH Royal Institute of Technology

Programme details
Degree: Master (Master)
Discipline: Computer Science
Duration: 2 years
ECTS points: 120
Study modes: full-time
Delivery modes: on-campus
University website: ICT Innovation
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Description:

The master's programme ICT Innovation combines technical competencies with skills in innovation and entrepreneurship. The programme strongly focuses on integrating education, research and business modules in its curriculum, with active industry involvement.

Students choose one of six technical specialisation tracks. Graduates work with system and software development, product management, business development, start-ups and consulting.

ICT Innovation at KTH:

The master's programme in ICT Innovation’s main subject is Computer Science and Electrical Engineering. The programme combines advanced technical education in information and communication technology (90.0 ECTS credits) with business-oriented courses focusing on innovation and entrepreneurship (30.0 ECTS credits).

Innovation and Entrepreneurship (I&E) education within the ICT Innovation master’s programme prepares future ICT engineers to exercise an entrepreneurial mindset to contribute to digital transformation. The courses focusing on I&E are taken by all students in the programme, regardless of the chosen track.

There are six tracks offered through the programme that provides further technical specialisation.

  • Autonomous Systems: The Autonomous Systems track is a combination of computer science and mechatronics engineering. The track is well aligned with market demand in the automobile, manufacturing, logistics, shipping, mining, and recycling industries. Autonomous software systems are also widely spreading in application areas, such as media, finance, customer service, and healthcare.
  • Data Science KTH: The Data Science track concerns methods and technology for collecting, organising and analysing data to generate new knowledge. This includes implementing and applying machine learning algorithms, platforms for distributed handling of extensive data, large-scale machine learning, algorithms and systems for descriptive and predictive modelling, including the analysis of complex data such as networks, text and images.
  • Visual Computing and Communication: The Visual Computing and Communication track combines computer science and information technology 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.
  • Embedded Systems: The Embedded Systems track focuses on enabling technologies and design methodologies for computing systems which are embedded as an integral part of larger systems, designed for specific control functions of devices with various electronic and mechanical components. This is particularly useful in the cyber-physical systems and Internet of Things domains.
  • Human Computer Interaction and Design: The Human Computer Interaction and Design track take an interdisciplinary user-centred design approach by placing the users at the centre of the design process. The track combines human aspects (both at a cognitive, aesthetic and sensory-motor levels) with technological and business aspects to create new products and services with great usability and user experience, and solid customer demand.
  • Cloud and Network Infrastructures: The Cloud and Network Infrastructures track focus on communication network design, management and operation on the one hand and cloud service and deployment models, and application design on the other. The track also addresses future directions of cloud computing, for example, in the fields of edge and fog computing as well as blockchains and distributed ledger applications.

This is a two-year programme (120 ECTS credits) given in English. Graduates are awarded the degree of Master of Science, with a major in Electrical Engineering or Computer Science and Engineering. The programme is given mainly at KTH Kista campus in Stockholm by the School of Electrical Engineering and Computer Science (at KTH).

Career:

With the business-oriented focus combined with the technical specialisation, you will find a plenitude of job and carrier opportunities. Examples include; innovative start-ups, research-driven organisations and advanced IT businesses worldwide.

The programme works closely with a wide range of first-class companies to connect and prepare you for your future career. You will interact with business and industry partners throughout the whole programme.

You will also get to conduct your master’s degree project with our partners on real-life projects. In addition to improving students' cultural and language skills, this experience will give them expertise in their chosen technological field and excellent qualifications for managerial posts in global markets.


Learn more about this Master programme

Find more information on the website of KTH Royal Institute of Technology:

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