We live in the age of information, where communication and information processing are at the heart of our modern society. Intelligent transportation systems, smart cities, traffic safety, positioning and navigation, eHealth, Industry 4.0, and cloud services. All of these rely on our ability to store, share, process, and deliver massive amounts of data. In a constantly and rapidly evolving field, you will rethink, design, and build the systems of the future to enable the interconnected world.
Please note - This programme was previously named Communication engineering.
Information and communication technology master's programme at Chalmers
We are currently witnessing an explosion of information services and applications, in both volume and variety. These services include social networks, video sharing, streaming, and cloud computing. Providing these services on a wide scale requires the ability to globally store, share, process, and deliver massive amounts of data. Therefore, there is a tremendous need for know-how to tackle this data flooding and the accompanying challenges. Furthermore, the need for communication engineers goes far beyond the conventional data delivery and storage problem. A striking example is intelligent transportation systems and traffic safety: a world of autonomous vehicles would not be possible without the integration of communication, information processing, positioning, and navigation. Other evolving fields of the “interconnected world” where the knowledge of communication engineers is vital for their development are the Internet-of-things, Industry 4.0, environmental monitoring, and smart grids, to name only a few.
In the master’s programme Information and communication technology, you will prepare for an advanced engineering career in the fields of communication and information science. You will acquire deep theoretical and applied knowledge, the competence to conduct complex projects, and a passion for discovery. In the core courses of the programme, the focus lies in giving you solid analytical skills and an understanding of the fundamental principles of communication and information processing, random signal analysis, applications of digital signal processing, antennas, information theory, and coding theory. The master’s programme offers three main tracks for specialization, with a generous number of courses to choose from.
In general, the educational methods in this programme have a specific emphasis on building and refining problem-solving skills, teamwork, and presentation skills. In this programme, you will also get the opportunity to interact with the industry via guest lectures and study visits. The master’s thesis gives you training in individual research, project planning, documentation, and presentation. As a graduate student of this program, you will be able to contribute to the development of the transformative and disruptive technologies that are needed to enable the interconnected world.
The subjects of communications systems, machine learning, IT, electronics, electrotechnics, and telecommunications are fundamental areas in the master’s programme in Information and communication technology. The courses included in the programme handle topics such as mobile communication, Internet-of-Things, Industry 4.0, Deep Learning, eHealth, Smart Society, Intelligent Transportation Systems, RF Hardware Design, Optical Communication, Satellite and Sensing Systems, and Information Processing.
Master's programme structure
The master’s programme runs for a duration of two years, leading to a Master of Science (MSc) degree. During each year, students can earn 60 credits (ECTS) and complete the programme by accumulating a total of 120 credits. Credits are earned by completing courses where each course is usually 7.5 credits. The programme consists of compulsory courses, compulsory elective courses and elective courses.
Compulsory courses year 1
During the first year the programme starts with five compulsory courses that form a common foundation in Information and Communication Technology. Each course is usually 7.5 credits.
- Introduction to communication engineering
- Probability and machine learning in data science using Python
- Digital communications
- Applied signal processing
- Introduction to Communication networks
Compulsory courses year 2
In the second year you must complete a master's thesis in order to graduate. The thesis may be worth 30 credits or 60 credits depending on your choice.
Profile track: Digital communication systems
This track covers the theoretic, algorithmic, and hardware-oriented aspects of digital communication systems. It prepares you for a role in research or industry in these core technologies.
- Wireless communications
- Information theory, advanced level
- Error control coding
- Wireless networks
- Wireless link project
- Radar systems and applications
- Satellite communications
- Satellite positioning
- Multimedia and video communications
- Deep machine learning
Profile track: Intelligent information processing
This track lies at the intersection of signal processing, sensing, image processing, speech and language processing, machine intelligence, and computer vision. This track covers many modern applications of information technology outside of just communication, such as deep learning systems.
- Image processing
- Spatial statistics and image analysis
- Deep machine learning
- Statistics and machine learning in high dimensions
- Nonlinear optimization
- Sensor fusion and nonlinear filtering
- Advanced probabilistic machine learning
- Image analysis
- Computer vision
- Random signals analysis
Profile track: Cognitive and autonomous networks
This track is focused on software-defined networking (SDN) and machine learning as the enabler of network automation. It covers aspects related to intelligent network design and management that achieves cognitive, agile and service-aware networking.
- Wireless networks
- Antenna engineering
- Nonlinear optimization
- Computer networks
- Network security
- Fiber optical communication
- Matrix analysis with applications, advanced level
- Error control coding, advanced level
- Information theory, advanced level
The master’s programme in Information and communication technology prepares you to work at the cutting edge of technology in areas such as multimedia communication, data storage and computing, intelligent transportation, traffic safety, positioning and navigation, wireless networks, and the Internet-of-things; areas in which information processing plays a significant role. Our students can usually be arranged into two groups after finishing the programme.
Graduates who join the industry
With the skills and methods gained in the programme, you will be able to compete for leading positions in globally operating companies worldwide. In the Gothenburg area, international players, such as Ericsson, Huawei, Volvo Cars and Volvo Trucks, Zenseact, Saab group, ABB, Ruag Space, and Autoliv, actively recruit our graduate students. There are also plenty of smaller companies, start-ups and consultancy companies specializing in communications in Sweden. The prospective jobs range from research and development to project management and consultancy.
Graduates who pursue a PhD degree
At Chalmers, the Communication Systems group at the Department of Electrical Engineering is one of the strongest research groups in information and communication theory in Europe, which gives you the chance to learn research skills from widely recognized researchers. In most cases, these graduates obtain a PhD position at Chalmers or at various European and American universities.
Research within Information and communication technology
Your teachers in the programme are internationally recognized researchers who are actively engaged in research and development projects in the areas of information and communication technology. Particularly, the Communications Systems group is the largest research group in communications in Sweden, and one of the leading research groups in Europe in information and communication theory. The research activities include information and communication theory, coding theory, machine learning, distributed data storage, caching and computing, vehicle-to-vehicle communication for traffic safety, positioning and navigation, cyber-physical systems, and wireless and optical communications.
The researchers at the department are internationally recognized in their respective fields and are engaged in collaborative research with researchers from top universities around the world. More specifically, the group comprises two IEEE Fellows, three IEEE Europe, Middle East & Africa Region Outstanding Young Researchers Awardees, and one ERC grant Awardee. The department is also actively engaged in research and development projects with world-leading research bodies and companies, such as the German Aerospace Center, Ericsson, Volvo, Nokia-Bell Labs, and Orange Labs, to only name a few.
Department of Electrical Engineering
Admissions academic year 2022/23
General entry requirements
An applicant must either have a Bachelor's degree in Science/Engineering/Technology/Architecture or be enrolled in his/her last year of studies leading to such a degree.
Specific entry requirements
Bachelor's degree (or equivalent) with the main field of study: Electrical Engineering, Automation and Mechatronics Engineering, Computer Engineering, Computer Science, Information Engineering, Information Technology, Telecommunication Engineering, Communication Engineering, Mathematics or Engineering Physics
Prerequisites: Mathematics (at least 30 cr. including Linear Algebra and Probability) and Basic Programming
English language requirements
Chalmers Bachelor’s degree
Are you enrolled in a Bachelor’s degree programme at Chalmers now or do you already have a Bachelor’s degree from Chalmers? If so, different application dates and application instructions apply.
Master of Science (MSc)Credits:
: Second Cycle, Master'sRate of study:
Full-time, 100%Instructional time:
DaytimeLanguage of instruction:
On-campus (Location: campus Johanneberg)Tuition fee:
140 000 SEK/academic year
*EU/EEA Citizens are not required to pay fees
Questions about the application:
Chalmers Admissions, email@example.com
Other master's programmes that might interest you
The programme is highly interlinked with the achievement of the UN Sustainable Development goals (SDGs)
. The table below provides an overview of the sustainable development goals and the associated targets within the programme.
Goal 3: Good health and well-being
Wearable health devices are increasingly helping people to better monitor their health and fitness. Fully exploiting their potential requires the integration of communication, sensing, learning, and processing of data. The programme educates you in all these areas.
Goal 9: Industry, innovation and infrastructure
Information and communication technologies are revolutionizing the industry. Automated factories are already becoming a reality, powered by information gathered from sensors and their processing via artificial intelligence. Sensors, drones, and artificial intelligence can also help in farming, such as livestock tracking, soil moisture probes, etc., allowing farmers to better manage their land.
Goal 11: Sustainable cities and communities
Information and communication technologies deliver solutions in areas such as health care, education, and agriculture, helping to reduce poverty and hunger, mitigate climate change, and improve energy efficiency.