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Learning Opportunity: Computer Science and Engineering, Master's Programme in Computer Science and Engineering, Master of Science (Technology) (2y)

Computer Science and Engineering, Master's Programme in Computer Science and Engineering, Master of Science (Technology) (2y)

Course Information

This research-oriented degree provides an exciting opportunity to study in a leading-edge research environment, and gives students the flexibility to choose between two themes: a) Computer Vision and Signal Processing, and b) Ubiquitous Computing.

The first theme, Computer Vision and Signal Processing, provides students with a solid theoretical understanding and practical skills on digital information processing and analysis. This information can be, for example, image, video, or audio signals that are perceived from the environment and processed using various operations such as filtering, compression and classification. The students are introduced to the essentials of computer vision as well as image and signal processing methods and technologies.

The second theme, Ubiquitous 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. Students gain experience in conducting usability tests with human participants, conducting experiments to evaluate their systems, and applying an iterative design approach to develop and improve their systems.

This Master’s programme 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. Furthermore, the programme provides graduates with the competence to continue as postgraduate students aiming for a doctoral degree, or in a wide variety of positions offered by research institutes and companies.

Reference Data

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Duration Information: 

2 vuotta

Costs: 

for non-EU/EEA citizens 10 000

Credits: 

120 ECTS credits

Provider Information

Provider Name: 
University of Oulu, Faculty of Information Technology and Electrical Engineering
Provider Contact Info: 

PL 4500, 90014, OULUN YLIOPISTO
University of Oulu, Faculty of Information Technology and Electrical Engineering
hakijapalvelut@oulu.fi
admissions.officer@oulu.fi
Erkki Koiso-Kanttilan katu, 90570, OULU
+358 294 48 0000
Erkki Koiso-Kanttilan katu,
FI-90570 Oulu, Finland
P.O.Box 4500, FIN-90014 Oulun yliopisto,
FINLAND

Qualifications Awarded

Reference Data

Qualification Awarded:
Diplomi-insinööri
Qualification awarded description:

This research-oriented degree provides an exciting opportunity to study in a leading-edge research environment, and gives students the flexibility to choose between two themes: a) Computer Vision and Signal Processing, and b) Ubiquitous Computing. The programme is based on the latest research excellence and prepares students to apply their skills in working life, and gives them tools for continuous learning as well.

After peforming the MSc studies a student

  • can work as an expert of computer science and engineering in international communities
  • masters profoundly and diversely the concepts, theory, and methods related to the selected orientation, and knows the basics in the fields of the optional studies
  • can apply the acquired knowledge in a creative manner in research, development and management
  • can work in groups to tackle substantial long-term projects, present and promote their work, effectively communicate their findings in speech, and effectively write academic text
  • can conduct scientific research and create new knowledge for the needs of the companies and the society
  • has the abilities required for post-graduate studies and continuous professional development.

 

Course Locations

Reference Data

Course address:

Erkki Koiso-Kanttilan katu, 90570, OULU