Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering

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 foundational connections with applied mathematics, 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 specialization, with a particular emphasis on audio and speech, and imaging and vision. We study fundamental signal processing theory and methods, modern deep learning models, as well as their software and hardware implementations. The specialization 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.