Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering, Master of Science (Technology) (2 yrs), autumn 2026
Tampere University · Tampere, Finland
- Level
- Master's
- Award
- Master of Science (Technology)
- Language
- English
- Duration
- 2 years
- Study mode
- Day time teaching
- Campus
- Tampere
- Starts
- Autumn 2026
- Credits
- 120 ECTS
- ECTS
- 120
- Tuition
- €12,000
About this programme
The technology behind our digital lives We invite you to learn the science and technology that power our digital world. From streaming music and video to autonomous vehicles and medical diagnostics, signal processing and machine learning enable the intelligent interpretation and transformation of data. This specialisation will equip you with theoretical foundations and practical skills to model and analyze data and to implement theory- and data-driven solutions across diverse domains. What You Will Study Students will gain a deep understanding of both classical signal processing and cutting-edge machine learning techniques. The curriculum is aligned with the latest advancements in the field, blending theory and hands-on practice. We aim to integrate students into research groups, encouraging you to tackle challenging problems and contribute to ongoing innovation. Core topics include: Signal processing theory and algorithms Deep learning and neural networks Audio and speech processing Imaging and computer vision Statistical modeling and data analysis At Tampere University, your degree is your own creation. In Signal Processing and Machine Learning specialisation you can choose from a wide range of elective studies and supplementary courses, or focus on one of the recommended areas: Imaging Machine hearing and vision Signal processing and data analysis Read more in the curriculum of the specialisation. Career Paths Graduates are in high demand across academia and industry. The specialization has strong ties to related industrial ecosystems such as Tampere Imaging Ecosystem, Forum for Intelligent Machines and Photonics Finland. MSc graduates in Technology typically find employment in research, design, development, production and operating tasks, or commercial and administrative tasks relating to the field, without excluding abilities to work as a researcher, teacher or manager. Potential Career Paths: Machine Learning Engineer Signal Processing Specialist Computer Vision Scientist Audio Technology Developer Researcher in AI and Data Science Embedded Systems Engineer Path to Doctoral Studies After graduation, you’ll be eligible to apply for doctoral programmes in Finland and internationally, continuing your journey in advanced research and innovation Signal Processing and Machine Learning (MSc Tech) is one of the engineering specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
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