Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering
Tampere University · Tampere, Europe
Duration
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Tuition
€12,000/yr
sourcedIntake
Autumn 2026
English
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Autumn 2026 intake. Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.
Course details verified 10 Sep 2026 — intakes, entry requirements and course facts · official source
Fee sourced Taken from the university's published fees page, not re-checked since — confirm it before you budget. See the university fees page.
About this programme
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 StudyStudents 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 algorithmsDeep learning and neural networksAudio and speech processingImaging and computer visionStatistical modeling and data analysisAt 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:ImagingMachine hearing and visionSignal processing and data analysisRead more in the curriculum of the specialisation.Career PathsGraduates 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 EngineerSignal Processing SpecialistComputer Vision ScientistAudio Technology DeveloperResearcher in AI and Data ScienceEmbedded Systems EngineerPath to Doctoral StudiesAfter graduation, you’ll be eligible to apply for doctoral programmes in Finland and internationally, continuing your journey in advanced research and innovationSignal Processing and Machine Learning (MSc Tech) is one of the engineering specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
Intakes & deadlines
Autumn 2026
Dates confirmed for your profile · Open
Entry requirements
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Prerequisites
University Bachelor's degree
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Documents
SOP, LOR & Resume — generate them free in 2 minutes.
Fees & scholarships
€12,000/yr tuition (sourced). We confirm the exact costs and the scholarships you qualify for at Tampere University — free, for your profile.
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Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering — FAQs
4 questions
Tuition is €12,000/yr. Taken from the university's published fees page, not re-checked since — confirm it before you budget. We confirm the current fee and the scholarships you qualify for — free.
The main intake is Autumn 2026. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
University Bachelor's degree
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