Master degree
Computer Engineering
The Master's in Computer Engineering will teach you how to develop intelligent and efficient software for network and information processing systems. You will gain deep insight into the theoretical background of computer technology, information technology and communication technology. You also learn how to integrate artificial intelligence and algorithms into communication systems and information processing systems. You will be part of an inclusive study environment and get access to the latest technology and knowledge.
Master degree
Computer Engineering
The Master's in Computer Engineering will teach you how to develop intelligent and efficient software for network and information processing systems. You will gain deep insight into the theoretical background of computer technology, information technology and communication technology. You also learn how to integrate artificial intelligence and algorithms into communication systems and information processing systems. You will be part of an inclusive study environment and get access to the latest technology and knowledge.
About the programme
You should choose to study Computer Engineering if you want to work with computer technology, AI, Vision and Sound, networks and distributed systems. During the programme, you can choose to specialise in AI, Vision and Sound where you will work with topics within computer vision, visual scene analysis, object tracking and acoustics. You can also choose to specialise in network and distributed systems where you will gain knowledge on real-time requirements, distributed operations and security, among other things. You will become an expert in the systems we surround ourselves with in our everyday lives ¨C both small and large ¨C where computers interact with their environment and other computers.
New MasterĄ¯s options
We expect that as of 2028 you will be able to take this Master's degree programme as a 2-year programme (full-time study, 120 ECTS credits) and as a 3-year Master's for working professionals (first year full-time and then two years of part-time study in combination with relevant employment)
Programme structure
Semester overview
The M.Sc. programme in Computer Engineering at Aalborg University is comprised by four semesters where you work with gradually more complex subjects.
See the curriculum for the masterĄ¯s programme in Computer Engineering. Here, you may find details on courses and projects as well as information on the programmeĄ¯s legal basis, etc.
Specialisation: Networks and Distributed Systems
Specialisation: Artificial Intelligence, Vision and Sound
Compulsory for all non-aau bachelors
All bachelors enrolled in the programme who have not obtained their bachelor's degree from Aalborg University must take part in a course on problem based learning (PBL) as part of the 1st semester project. In case non-AAU bachelors get credit transfer for the 1st semester, they will be asked to take part in a course ensuring that they are trained in working according to the PBL-model. Read more about PBL here.
Study abroad
In the 3rd semester of the masterĄ¯s programme in Computer Engineering, you have the opportunity to go abroad or spend your semester in a company. Aalborg University cooperates with a range of universities across the world and has well-established contacts in industry both in regards to student projects and company internships. The International Office at Aalborg University may assist you with guidance, but you must make your own preparations, incl. checking whether you need advanced credit transfer, looking for accommodation, checking up on insurance, visa and possible needed vaccinations, and, if relevant, how to avoid a lapse of your Danish residence permit.
Skills and job opportunities
The master's programme in Computer Engineering qualifies you for a wide range of jobs in top companies all over the world. Candidates are likely to find employment within areas such as wireless and mobile communication, consumer audio and video, sound and audio products, multimedia, medical aids, instrumentation, automotive applications, avionics, navigation, etc.