Signal Processing and Machine Learning, Computing Sciences and Electrical Engineering
Explore the technology behind our digital lives
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From audio analysis to image processing, and from autonomous vehicles to medical diagnostics, signal processing and machine learning are the foundation for sensing, intelligent interpretation, and transformation of data. Our research-based teaching deals with theory, models, and algorithms for analysing, interpreting, capturing, and reproducing complex natural signals. These include images, video, speech, and audio, including their emerging modalities such as depth, thermal, and multispectral images, point clouds and light fields, spatial audio, and their multimodal combinations. As a result, this specialisation will equip you with theoretical foundations and practical skills to model and analyse 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. Thesis projects aim at integrating students into research groups or local companies, 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, image processing, and computer vision
Sensing
Statistical modeling and data analysis.
At Tampere University, your degree is your own creation. In the Signal Processing and Machine Learning specialisation you can choose to specialise in one of the following focus areas:
Imaging
Machine perception
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 local industrial ecosystems but also to global research networks and industrial needs. Tampere University is a pioneer in signal processing, mobile imaging, and audio processing, and has supported these fields 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, as well as in managerial roles.
Potential Career Paths:
Machine Learning Engineer
Signal Processing Specialist
R&D Engineer in Imaging or Visual Systems
R&D Engineer in Audio, Speech, or Computer Vision Technologies
AI Developer / AI Research Engineer
PhD track for advanced specialization (e.g., imaging, audio, speech, computer vision, or general machine learning)
Get know the related industrial ecosystems
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.
Get to know our Signal Processing Research Centre
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.
Learning outcomes of Signal Processing and Machine Learnig specialization
Successful graduates of this study track will master fundamental theories and advanced methods in signal processing and machine learning. Depending on your focus area, you will learn the theory and practical methods in imaging and image processing, in deep-learning-enabled audio processing and computer vision, or in advanced signal processing and analysis, such as sensing. In addition to compulsory courses, you can expand your skills and knowledge with a set of elective courses available for each focus area. These include, e.g., studies in 3D and virtual reality, robotics, reinforcement learning, medical imaging, natural language and speech processing, time-series analysis, or data mining.
Key courses
Deep Learning
Computer Vision
Advanced Signal Processing
Advanced Audio Processing
Vector Space Methods for Signal and Image Processing
Advanced Image Processing
3D and Extended Reality
Speech Processing
Imaging Sensors and Systems
Imaging Systems Laboratory
Statistical Signal Processing
Robot Learning Lab
Reinforcement Learning
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.