Master's programme in ICT Innovation KTH

ICT Innovation is a master’s programme which combines technical competences with skills in innovation and entrepreneurship. The programme has a strong focus on integrating education, research and business modules in its curriculum, and with active industry involvement.

Application dates for studies starting in Autumn 2020

16 October 2019: Application opens
15 January 2020: Application deadline
3 February 2020: Deadline for supporting academic documents (all applicants) and documentation of fee exempt status (if required) or receipt of application fee (if required)
3 April 2020: Notification of selection results
August 2020: Arrival and start of studies

ICT Innovation at KTH

The ICT Innovation master's programme main subjects Computer Science and Electrical Engineering. The programme aims at combining advanced technical education in information and communication technology (90.0 credits) with business-oriented courses focusing on innovation and entrepreneurship (30.0 credits).

Innovation and Entrepreneurship (I&E) education within the ICT Innovation master´s programme prepares future ICT engineers to exercise an entrepreneurial mind-set to contribute to digital transformation. The course package on I&E are shared among the programme.

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

Autonomous Systems KTH (AUSY)

The track Autonomous Systems is a combination of computer science and mechatronic engineering. The track is well aligned with market demand in automobile industry, 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 (DASE)

The track Data Science 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 very large 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 (VCCN)

The track Visual Computing and Communication 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. Note: Previous years this track was labelled Digital Media Technology.

Embedded Systems (INSM)

The track Embedded Systems focuses on enabling technologies and design methodologies for computing systems which are embedded as integral part of larger systems, designed for specific control functions of devices with various electronic and mechanical components. This is particular useful in the cyber-physical systems and Internet of Things domains.

Human Computer Interaction and Design (HCIN)

The track Human Computer Interaction and Design takes 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 a solid customer demand.

Cloud and network infrastructures (CLNI)

Cloud and network infrastructures track focuses 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.

A key component in all specialisations of ICT Innovation is the integrated combination of a master’s degree project (30 ECTS), an “internship” (which should be included in the degree project credits) and an I&E project (6 ECTS). The industry-based degree project (typically integrated with the "internship") is together with the I&E minor well integrated with the technical majors.

The programme covers two years of study at KTH in Stockholm. However, students who would like to attend the second year of the programme abroad can do so under the EIT Digital scheme to which this programme is attached. This creates flexibility for students who would like to continue their second year on the programme by either staying at KTH or decides to do the second year abroad at one of the other EIT Digital university members.

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

For details about the joint EIT Digital program please see EIT Digital Master School .

Topics covered

Marketing and market analysis, business formation, project work and management, advanced ICT. 

Courses in the programme


With the business-oriented focus combined with the technical specialisation students will find a plenitude of jobs and carriers opportunities. Examples of includes; innovative start-ups, research driven organisations and advanced IT business world-wide. The program work closely with a wide range of first-class businesses to connect and prepare students for their future careers. You will be working closely with business and industry partners throughout the whole programme. You will also get the chance to prepare your master’s thesis with our partners on real-life projects. In addition to improving students cultural and language skills, this experience will give students expertise in their chosen technological field, as well as provide them with excellent qualifications for managerial posts in global markets.

After graduation

System and Software Developer, Product Manager, Business Developer, Startup Founder, Consultant

Next step


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