Computer Science and Engineering, Master of Science (Technology) (2 years)
- Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment
- The studies combine both theoretical and practical approach
- Specializations in Applied Computing, Artificial Intelligence, and Computer Engineering
The International Master’s Degree Program in Computer Science and Engineering (CSE) is a two-year research-oriented program concentrating on intelligent digital solutions to real-world problems. During the past decades, Computer Science and Engineering has had a significant impact on our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead, they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.
The two-year program has three specialization options:
- Applied Computing
- Artificial Intelligence
- Computer Engineering
Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development.Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.
Artificial Intelligence focuses on various fields of AI, such as machine learning, machine vision, and data mining. This specialization provides students with a solid theoretical understanding and practical skills in processing and analyzing digital data and the ability to create intelligent solutions to real-world problems with modern AI techniques.
Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialization, students also study signal processing and its applications and work with projects on modern signal processors and embedded computers. The specialization gives the students a good basis to work with the Internet of Things (IoT) applications.
In addition to the core specialization options, students can take optional courses to widen their specialization expertise to:
- biomedical signal analysis
- machine learning
- machine vision
- signal processing
- embedded systems
- ubiquitous computing
This Master’s program is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned worldwide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing(UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware, and sensor networks.Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies, the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.
The program will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.
Possible titles include:
- Research Scientist
- Software Engineer
- System Designer
- Project Manager
Students applying for the program must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.
This school offers programs in:
Last updated January 16, 2018