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Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering

Tampere University

The way we communicate and discover life


Master's degree (University)

Degree earned

Master of Science (Technology)

Planned duration

2 years

Extent of studies

120 ECTS



Tuition fee for non-EU/EEA citizens

12000 € per academic year

Link to scholarship programme

Information is conveyed by signals. People communicate across cities and continents, record and listen to music, preserve memories in videos, explore cosmic immensities and oceanic depths all enabled by signal processing. Doctors save lives by using signals, financiers predict economy trends, and directors create art performances likewise with the help of signal processing. The IEEE Signal Processing Society has said it most concisely: ‘Signal processing is the science behind our digital lives

Signal processing is essentially about modeling and analyzing data representations of various phenomena of life, nature, society, economy, and culture. Modern signal processing leverages the strong predictive power of machine learning while enjoying the genetic connections with computer science and statistics.

Experts in Signal Processing and Machine Learning are much needed as the related applications are infinite: from creating data-driven solutions for medical and biological problems; to enabling self-driving cars and autonomous robots.

Signal Processing and Machine Learning is an engineering programme, with a particular emphasis on speech and audio; imaging and vision; media, retrieval, and mining. We study both classical and novel deep learning models as well as their software and hardware implementations. The programme enjoys strong ties with the related industrial ecosystems such as Tampere Imaging Ecosystem, Forum for Intelligent Machines, and Photonics Finland.

Signal Processing and Machine Learning (MSc Tech) is one of the engineering specializations in the Master’s Programme in Computing Sciences and Electrical Engineering.

Tampere is one of the TOP 5 imaging technology clusters in the world

Get to know Computing Sciences unit of the Faculty of Information Technology and Communication Sciences (ITC)

For more information

Please read through the information provided. For further questions regarding the application process, contact our Admissions office at or for questions regarding the content of the programme, please Ms. Anna-Mari Viitala,