Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering, MSc, Tampere University

Finland

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Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
MSc	Full-time	2 years	find out	find out	EUR 12000 per year

About Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering, MSc - at Tampere University

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.

Learn more about Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering, MSc - at Tampere University

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Entry requirements

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Fees, Funding and Scholarships at Tampere University

Tampere University seeks to recognise its most merited, high-achieving and motivated students. Tampere University Scholarships Programme is available for application for students who are required to pay tuition fees in bachelor’s and master’s degree programmes offered in English. We offer a limited number of partial scholarships as well as an early bird discount to support fee-paying students.