Computer Science and Engineering, Master of Science (Technology) (2 years)

  • The 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 Programme 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 specialisation options:

  • Applied Computing
  • Artificial Intelligence
  • Computer Engineering

Applied Computing focuses on the next generation of interactive systems that place humans at the focus of technological development. Adopting a multidisciplinary real-world approach, students spend a substantial amount of time working on 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 specialisation 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 an emphasis on embedded system development. In this specialisation, students also study signal processing and its applications and work with projects on modern signal processors and embedded computers. The specialisation 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 into:

  • 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
  • Specialist

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.

Scholarships and Fees

https://www.oulu.fi/university/masters/scholarships

Engin_Akyurt/ Pixabay

Program taught in:
  • English
University of Oulu

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Last updated October 18, 2019
This course is Campus based
Start Date
Aug 2020
Duration
2 years
Full-time
Price
Free
10,000 EUR for non-EU/EEA students
Deadline
Jan 22, 2020
Application period: January 8-22, 2020 at 15.00 / 3 pm (GMT+2)
By locations
By date
Start Date
Aug 2020
End Date
May 2022
Application deadline
Jan 22, 2020
Application period: January 8-22, 2020 at 15.00 / 3 pm (GMT+2)

Aug 2020

Location
Application deadline
Jan 22, 2020
Application period: January 8-22, 2020 at 15.00 / 3 pm (GMT+2)
End Date
May 2022

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