Master in ICT Innovation

General

Program Description

ICT Innovation is a master’s program that combines technical competences with skills in innovation and entrepreneurship. The program has a strong focus on integrating education, research and business modules in its curriculum, and with active industry involvement. Graduates work with system and software development, product management, business development, start-ups and consulting.

ICT Innovation at KTH

The master's program in ICT Innovation’s main subject is Computer Science and Electrical Engineering. The program 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 program 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 program, regardless of the chosen track.

There are six tracks offered through the program that provides further technical specialization.

  • 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 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: The Data Science track concerns methods and technology for collecting, organizing and analyzing 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 modeling, 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, visualization, 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 the Internet of Things domains.
  • Human-Computer Interaction and Design: The Human-Computer Interaction and Design track takes an interdisciplinary user-centered design approach by placing the users at the center 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.

A key component in all specializations 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 program covers two years of study at KTH in Stockholm. However, students who would like to attend the second year of the program abroad can do so under the EIT Digital scheme to which this program is attached. This creates flexibility for students who would like to continue their second year on the program 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 program (120 ECTS credits) given in English. Graduates are awarded the degree of Master of Science, with a major in Electrical Engineering or in Computer Science and Engineering. The program is given mainly at the 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 specialization, students will find a plenitude of jobs and carriers opportunities. Examples include; innovative start-ups, research-driven organizations and advanced IT business worldwide. The program works closely with a wide range of first-class businesses to connect and prepare students for their future careers. You will interact with business and industry partners throughout the whole program. You will also get the chance to prepare your master’s thesis with our partners on real-life projects. In addition to improving student's 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.

Sustainable development

Graduates from KTH have the knowledge and tools for moving society in a more sustainable direction, as sustainable development is an integral part of all programs. The three key sustainable development goals addressed by the master's program in ICT Innovation are:

  • Decent Work and Economic Growth
  • Industry, Innovation, and Infrastructure
  • Sustainable Cities and Communities

Overall, digitalization can play an important role in leading sustainable development in the use of more effective ways to use resources and improve everyday life. In the program, we provide a foundation for sustainable development in engineering, as well as providing more specific knowledge about digital innovation systems for decent work conditions and economic growth in order to achieve a more sustainable industry and infrastructure for sustainable cities and communities.

Courses

The two-year master's program in ICT Innovation consists of three terms of courses and one final term dedicated to the master's degree project. Each term consists of approximately 30 ECTS credits. Depending on which track you choose, you will study different courses. The courses presented on this page apply to studies starting in autumn 2020.

Year 1

Mandatory courses for all tracks

  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses for all tracks

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Autonomous Systems track

Mandatory courses

  • Introduction to Robotics (DD2410) 7.5 credits
  • Machine Learning (DD2421) 7.5 credits
  • Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Optional courses

  • Artificial Intelligence (DD2380) 6.0 credits
  • Image Analysis and Computer Vision (DD2423) 7.5 credits
  • Deep Learning in Data Science (DD2424) 7.5 credits
  • Automatic Control, General Course (EL1010) 6.0 credits
  • Hybrid and Embedded Control Systems (EL2450) 7.5 credits
  • Control Theory and Practice, Advanced Course (EL2520) 7.5 credits
  • Speech and Audio Processing (EQ2321) 7.5 credits
  • Pattern Recognition and Machine Learning (EQ2341) 7.5 credits
  • Analysis and Search of Visual Data (EQ2425) 7.5 credits
  • Cyber-Physical Networking (EQ2871) 7.5 credits
  • Sensor-Based Systems (II2302) 7.5 credits
  • Embedded Systems (IL2206) 7.5 credits

Cloud and Network infrastructures track

Mandatory courses

  • Data-Intensive Computing (ID2221) 7.5 credits
  • Advanced Internetworking (IK2215) 7.5 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Optional courses

  • Queuing Theory and Teletraffic Systems (EP2200) 7.5 credits
  • Wireless Networks (EP2950) 7.5 credits
  • Distributed Systems, Advanced Course (ID2203) 7.5 credits
  • Distributed Computing, Peer-to-Peer and GRIDS (ID2210) 7.5 credits

Data Science track

Mandatory courses

  • Machine Learning (DD2421) 7.5 credits
  • Data Mining, Basic Course (ID2211) 7.5 credits
  • Programming for Data Science (ID2214) 7.5 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Optional courses

  • Visualization (DD2257) 7.5 credits
  • Artificial Intelligence (DD2380) 6.0 credits
  • Language Engineering (DD2418) 6.0 credits
  • Image Analysis and Computer Vision (DD2423) 7.5 credits
  • Deep Learning in Data Science (DD2424) 7.5 credits
  • Machine Learning, Advanced Course (DD2434) 7.5 credits
  • Artificial Neural Networks and Deep Architectures (DD2437) 7.5 credits
  • Statistical Methods in Applied Computer Science (DD2447) 6.0 credits
  • Search Engines and Information Retrieval Systems (DD2476) 9.0 credits
  • Distributed Systems, Advanced Course (ID2203) 7.5 credits
  • Distributed Computing, Peer-to-Peer and GRIDS (ID2210) 7.5 credits
  • Learning Machines (ID2225) 7.5 credits

Embedded Systems track

Mandatory courses

  • Compilers and Execution Environments (ID2202) 7.5 credits
  • Embedded Systems (IL2206) 7.5 credits
  • Embedded Software (IL2212) 7.5 credits
  • Computer Systems Architecture (IS2202) 7.5 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Human-Computer Interaction and Design track

Mandatory courses

  • Human-Computer Interaction, Research Seminars (DH2632) 3.0 credits
  • Interaction Programming and the Dynamic Web (DH2642) 7.5 credits
  • Human-computer Interaction: Principles and Design (IC1007) 7.5 credits
  • The methodology of Interaction Design (IC2005) 7.5 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Optional courses

  • Machine Learning (DD2421) 7.5 credits
  • Evaluation Methods in Human-Computer Interaction (DH2408) 6.0 credits
  • Haptics, Tactile and Tangible Interaction (DH2670) 7.5 credits
  • Multimodal Interaction and Interfaces (DT2140) 7.5 credits
  • Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits

Visual Computing and Communication track

Mandatory courses

  • Introduction to Visualization and Computer Graphics (DH2320) 6.0 credits
  • Entrepreneurship for Engineers (ME2072) 6.0 credits
  • Business Development Lab of Entrepreneurship Engineers (ME2073) 9.0 credits
  • Summer Course- Entrepreneurship for Engineers (ME2078) 4.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Internetworking (EP2120) 7.5 credits
  • Signal Theory (EQ1220) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits
  • Technology-based Entrepreneurship (ME2062) 7.5 credits
  • Internet Marketing (ME2094) 7.5 credits
  • e-Business Strategies (ME2095) 7.5 credits

Optional courses

  • Visualization (DD2257) 7.5 credits
  • Image Analysis and Computer Vision (DD2423) 7.5 credits
  • Search Engines and Information Retrieval Systems (DD2476) 9.0 credits
  • Computer Graphics and Interaction (DH2323) 6.0 credits
  • Queuing Theory and Teletraffic Systems (EP2200) 7.5 credits
  • Pattern Recognition and Machine Learning (EQ2341) 7.5 credits
  • Analysis and Search of Visual Data (EQ2425) 7.5 credits
  • Seminars in Information and Network Engineering (EQ2461) 3.0 credits
  • Information Theory and Source Coding (EQ2845) 7.5 credits

Year 2

Mandatory courses

  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses for all tracks

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Autonomous Systems track

Mandatory courses

  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Artificial Intelligence (DD2380) 6.0 credits
  • Applied Estimation (EL2320) 7.5 credits
  • Modeling of Dynamical Systems (EL2820) 7.5 credits
  • Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
  • Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits
  • Embedded Systems (IL2206) 7.5 credits

Cloud and Network infrastructures track

Mandatory courses

  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Management of Networks and Networked Systems (EP2300) 7.5 credits
  • Network Analytics (EP2420) 7.5 credits
  • Networked Systems Security (EP2500) 7.5 credits
  • Modern Methods in Software Engineering (ID2207) 7.5 credits
  • Distributed Artificial Intelligence and Intelligent Agents (ID2209) 7.5 credits
  • Data Mining (ID2222) 7.5 credits
  • Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits
  • Internet Security and Privacy (IK2206) 7.5 credits

Data Science track

Mandatory courses

  • Data-Intensive Computing (ID2221) 7.5 credits
  • Data Mining (ID2222) 7.5 credits
  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Artificial Intelligence (DD2380) 6.0 credits
  • Language Engineering (DD2418) 6.0 credits
  • Image Analysis and Computer Vision (DD2423) 7.5 credits
  • Scalable Machine Learning and Deep Learning (ID2223) 7.5 credits
  • Learning Machines (ID2225) 7.5 credits

Embedded Systems track

Mandatory courses

  • Digital Design and Validation using Hardware Description Languages (IL2203) 9.0 credits
  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Product Realization Processes I (II2300) 7.5 credits
  • Sensor-Based Systems (II2302) 7.5 credits
  • Embedded Hardware Design in ASIC and FPGA (IL2225) 7.5 credits
  • Hardware Architectures for Deep Learning (IL2230) 7.5 credits
  • Embedded Many-Core Architectures (IL2236) 7.5 credits
  • System Design Languages (IL2452) 7.5 credits
  • RFID Systems (IS2500) 7.5 credits

Human-Computer Interaction and Design track

Mandatory courses

  • Physical Interaction Design and Realization (DH2400) 7.5 credits
  • Developing Mobile Applications (ID2216) 7.5 credits
  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Haptics, Tactile and Tangible Interaction (DH2670) 7.5 credits
  • Multimodal Interaction and Interfaces (DT2140) 7.5 credits
  • Ubiquitous Computing (ID2012) 7.5 credits
  • Sensor-Based Systems (II2302) 7.5 credits
  • Mobile Networks and Services (IK2560) 7.5 credits

Visual Computing and Communication track

Mandatory courses

  • Image and Video Processing (EQ2330) 7.5 credits
  • ICT Innovation Study Project (ME2096) 6.0 credits

Conditionally elective courses

  • Theory and Methodology of Science with Applications (Natural and Technological Science) (AK2036) 7.5 credits
  • Research Methodology and Scientific Writing (II2202) 7.5 credits

Optional courses

  • Computational Photography (DD2429) 6.0 credits
  • Digital Signal Processing (EQ2300) 7.5 credits
  • Digital Communications (EQ2310) 9.0 credits
  • Speech and Audio Processing (EQ2321) 7.5 credits
  • Adaptive Signal Processing (EQ2401) 7.5 credits
  • Advanced Digital Communications (EQ2411) 7.5 credits
  • Machine Learning and Data Science (EQ2415) 7.5 credits
  • Analysis and Search of Visual Data (EQ2425) 7.5 credits
  • Seminars in Information and Network Engineering (EQ2461) 3.0 credits

Admission requirements

To be eligible for the program, you must have been awarded a bachelor's degree, be proficient in English and meet the program-specific requirements.

Bachelor's degree

A bachelor's degree, equivalent to a Swedish bachelor's degree, or equivalent academic qualifications from an internationally recognized university, is required. Students who are following longer technical programs, and have completed courses equivalent to a bachelor's degree, will be considered on a case-by-case basis.

English proficiency

English language proficiency equivalent to (the Swedish upper secondary school) English course B/6 is required. The requirement can be satisfied through a result equal to, or higher than, those stated in the following internationally recognized English tests:

  • TOEFL Paper-based: Score of 4.5 (scale 1-6) in written test, a total score of 575.
    TOEFL ITP is not accepted.
  • TOEFL iBT internet-based: Score of 20 (scale 0-30) in written test, a total score of 90
  • IELTS Academic: A minimum overall mark of 6.5, with no section lower than 5.5
  • Cambridge ESOL: Cambridge English: Advanced (CAE) Certificate in Advanced English or Cambridge English: Proficiency (CPE) (Certificate of Proficiency in English)
  • Michigan English Language Assessment Battery (MELAB): Minimum score of 90
  • The University of Michigan, ECPE (Examination for the Certificate of Proficiency in English)
  • Pearson PTE Academic: Score of 62 (writing 61)

Specific requirements for the master's program in ICT Innovation

A Bachelor’s degree, or equivalent, corresponding to 180 ECTS credits in Electrical/Electronic Engineering, Computer Science, Computer Engineering, Computer Science or Information Technology, including at least 60 ECTS credits in computer science, basic digital and analogue electronics, basic control theory, computer systems / computer architecture and programming, and at least 30 ECTS credits in mathematics, including analysis (calculus), linear algebra and mathematical statistics.

The specific requirements may be assessed as not fulfilled if

  1. The degree-awarding institution is not considered to meet acceptable quality standards by the authorities of the country in which the institution is located.
  2. The degree does not qualify for admission to the equivalent Master level in the country where the degree is awarded.

Application documents

  1. Certificates and diplomas from previous university studies
  2. Transcript of completed courses and grades included in your degree
  3. Proof of English proficiency
  4. A copy of your passport including personal data and photograph, or other identification documents

Specific documents for the master's program in ICT Innovation

  • Curriculum Vitae including details on your academic and professional career.
  • A letter of motivation in which you prove your innovative potential. For this purpose, we ask you to discuss or propose an entrepreneurial idea (one page with a summary and two additional pages for details).
  • Two letters of recommendation (from professors of the most recently attended higher institution or recent employers).
  • Optional: Document stating the GPA or the Relative Ranking
Last updated Oct 2019

About the School

KTH Royal Institute of Technology has served as one of Europe’s key centres of innovation and intellectual talent for almost two hundred years. Recognized as Sweden’s most prestigious technical univer ... Read More

KTH Royal Institute of Technology has served as one of Europe’s key centres of innovation and intellectual talent for almost two hundred years. Recognized as Sweden’s most prestigious technical university, KTH is also the country’s oldest and largest. With over 12,000 students and an international reputation for excellence, the university continues to nurture the world’s brightest minds, helping to shape the future. Read less