The master's programme in Information and Network Engineering addresses the digitalisation of modern society and the rapid evolution of advanced communication systems. It covers the enabling technologies behind smart homes, smart grids, big data and autonomous vehicles. Students gain a solid foundation in data analysis, wireless communications and networking, and expertise through specialisation. Graduates lead research and development within the field.

Information and Network Engineering at KTH

We live in an increasingly connected world where not only people but also a rapidly growing number of sensors and devices are going online. To maintain and develop the high-tech industry around the world, we need engineers who cannot only use but also understand and develop new solutions for advanced communication systems and for methods used to analyse and process the vast amounts of information that flow in different networks.

To an increasing degree, this need is also seen outside the traditional information and communications technology sector. Examples include the new sector of companies based on cloud services, the more conventional manufacturing industry and the motor vehicle industry.

This programme prepares you for a future professional role by providing a broad basis in communications and data analysis. You choose one of four tracks to acquire in-depth knowledge of the area.

Tracks

• Information engineering focuses on machine learning, pattern recognition, information theory and signal processing.
• Multimedia processing and analysis focuses on problem-oriented solutions for multimedia signals such as video, images, and audio using principles of data analysis and coding.
• Communications engineering focuses on wireless communications with the possibility of specialising in communication theory, coding, machine-type communications or antenna design.
• Networked systems focuses on the design, performance analysis, management and, not least, security of wired and wireless networks and networked systems.

In addition to the technical aspects of the coursework, many non-technical elective classes are on offer to prepare you for your future career in industry or academia. These courses will improve your project management, leadership or technical English capabilities.

KTH's close collaboration with leaders of research and industry ensures that the programme meets the needs and expectations of the industry and connects you with your future employers during your studies.

Master's degree project

The degree project is one semester of full-time work and is usually completed during the final semester. You carry out the project in an industry setting, at a KTH department, or at another technical university or research institute anywhere in the world.

Examples of degree projects made by former students

• Deep Learning for Prediction of Falling Blood Pressure During Surgery
• Ethical Hacking of a Smart Video Doorbell
• Polar Codes for Biometric Identification Systems Wi-Fi 7: Multi-Link Operation in XR industrial scenarios
• Predicting Buffer Status Report (BSR) for 6G Scheduling using Machine Learning Models
• Development and Testing of Performance Assessment Equipment for Elite Fencers

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