Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering
Explore the technology behind our digital lives
Type
Degree earned
Planned duration
Extent of studies
City
Campus
Tuition fee for non-EU/EEA citizens
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 Will You 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.
Career Paths in Signal Processing and Machine Learning
Graduates are in high demand across academia and industry. The specialisation has strong ties to related industrial ecosystems such as Tampere Imaging Ecosystem, Forum for Intelligent Machines and Photonics Finland. Tampere University is a pioneer in signal processing and mobile imaging and has supported these ecosystems by cultivating generations of skilled professionals. In Tampere there is a strong synergy between academia and industry. MSc graduates in Signal Processing and Machine Learning 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
Get know the related industrial ecosystems:
Forum for Intelligent Machines
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.
Curriculum
Detailed information on the content and structure of the studies is included in the curriculum.
Become a student
Learn more about the studies, admissions, and eligibility criteria on Studyinfo. In addition, applications are submitted via the Studyinfo.fi service.
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 admissions.tau@tuni.fi or for questions regarding the content of the programme, please Ms. Anna-Mari Viitala, anna-mari.viitala@tuni.fi.
