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Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection... Read more
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection of many timely challenges, from predicting the stock market to developing better medical technology. As the industry is transforming to become more sustainable, you will get to be part of new ways of doing things, e.g., by making more efficient algorithms, thus contributing to reducing the energy consumption of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the programme will have:
A strong theoretical and methodological background of modern signal processing and data science. Graduates possess a toolbox of knowledge on signals and systems modelling, data representations, optimisation and skills to implement practical signal processing technologies for multisensor systems.
Advanced programming skills. Graduates master various programming languages and tools and have the ability to design, implement, test and maintain practical signal processing systems.
Extensive data analysis skills. Graduates have an in-depth understanding of the nature and diversity of data and signals and how it can be translated into information by machine learning.
Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate predictions from real world data.
Extensive knowledge about the state of the art research in the field. Graduates benefit from the top-notch research led by professors and researchers and have the basis needed to embark on a career in research, should they wish to do so.
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection... Read more
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection of many timely challenges, from predicting the stock market to developing better medical technology. As the industry is transforming to become more sustainable, you will get to be part of new ways of doing things, e.g., by making more efficient algorithms, thus contributing to reducing the energy consumption of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the programme will have:
A strong theoretical and methodological background of modern signal processing and data science. Graduates possess a toolbox of knowledge on signals and systems modelling, data representations, optimisation and skills to implement practical signal processing technologies for multisensor systems.
Advanced programming skills. Graduates master various programming languages and tools and have the ability to design, implement, test and maintain practical signal processing systems.
Extensive data analysis skills. Graduates have an in-depth understanding of the nature and diversity of data and signals and how it can be translated into information by machine learning.
Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate predictions from real world data.
Extensive knowledge about the state of the art research in the field. Graduates benefit from the top-notch research led by professors and researchers and have the basis needed to embark on a career in research, should they wish to do so.
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Signal Processing and Data Science
Otakaari primary campus, Espoo, Finland
# 51-100QS Subject Rankings
24 monthsProgram duration
17,000 EURTuition Fee/year
27 Dec, 2024Application Deadline
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection...
Read more
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection of many timely challenges, from predicting the stock market to developing better medical technology. As the industry is transforming to become more sustainable, you will get to be part of new ways of doing things, e.g., by making more efficient algorithms, thus contributing to reducing the energy consumption of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the programme will have:
- A strong theoretical and methodological background of modern signal processing and data science. Graduates possess a toolbox of knowledge on signals and systems modelling, data representations, optimisation and skills to implement practical signal processing technologies for multisensor systems.
- Advanced programming skills. Graduates master various programming languages and tools and have the ability to design, implement, test and maintain practical signal processing systems.
- Extensive data analysis skills. Graduates have an in-depth understanding of the nature and diversity of data and signals and how it can be translated into information by machine learning.
- Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate predictions from real world data.
- Extensive knowledge about the state of the art research in the field. Graduates benefit from the top-notch research led by professors and researchers and have the basis needed to embark on a career in research, should they wish to do so.
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection...
Read more
Data is widely available, but what is scarce is the ability to extract wisdom from it. Skilled experts with the tools to collect and interpret signals and data are more in demand than ever. The Signal Processing and Data Science major sits at the intersection of many timely challenges, from predicting the stock market to developing better medical technology. As the industry is transforming to become more sustainable, you will get to be part of new ways of doing things, e.g., by making more efficient algorithms, thus contributing to reducing the energy consumption of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the programme will have:
- A strong theoretical and methodological background of modern signal processing and data science. Graduates possess a toolbox of knowledge on signals and systems modelling, data representations, optimisation and skills to implement practical signal processing technologies for multisensor systems.
- Advanced programming skills. Graduates master various programming languages and tools and have the ability to design, implement, test and maintain practical signal processing systems.
- Extensive data analysis skills. Graduates have an in-depth understanding of the nature and diversity of data and signals and how it can be translated into information by machine learning.
- Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate predictions from real world data.
- Extensive knowledge about the state of the art research in the field. Graduates benefit from the top-notch research led by professors and researchers and have the basis needed to embark on a career in research, should they wish to do so.
Read lessAdmission Requirements
Tuition fees
Domestic Students
International Students
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QS subject rankings
Subject: Data Science and Artificial Intelligence
Ranking criteria
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