24 monthsProgramme duration
17,000 EURTuition Fee/year
SepStarting Month
Programme 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 of many timely challenges, from predicting the stock market to developing better medical technology. As industries shift toward sustainability, you will play a role in shaping smarter, greener solutions, e.g., by developing more efficient algorithms that help reduce the energy demands of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the Signal Processing and Data Science major will have:
A strong theoretical and methodological background of modern signal processing and data science. As a graduate you will leave with a versatile toolbox of knowledge on signals and systems modelling, data representations, optimisation techniques, along with the practical skills needed to implement practical signal processing technologies for complex, 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 develop a deep understanding of the nature and diversity of signals and data, and how these can be transformed into meaningful information using machine learning techniques. Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate, data-drivenpredictions from real world data. Extensive knowledge about the cutting-edge research in the field. Graduates benefit from close interaction with leading professors and researchers, and are well-prepared to pursue a research career if they choose to.
Benefiting from world-class research and facilities, students graduating from the Signal Processing and Data Science major will have:
A strong theoretical and methodological background of modern signal processing and data science. As a graduate you will leave with a versatile toolbox of knowledge on signals and systems modelling, data representations, optimisation techniques, along with the practical skills needed to implement practical signal processing technologies for complex, 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 develop a deep understanding of the nature and diversity of signals and data, and how these can be transformed into meaningful information using machine learning techniques. Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate, data-drivenpredictions from real world data. Extensive knowledge about the cutting-edge research in the field. Graduates benefit from close interaction with leading professors and researchers, and are well-prepared to pursue a research career if they choose to.
Programme 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 of many timely challenges, from predicting the stock market to developing better medical technology. As industries shift toward sustainability, you will play a role in shaping smarter, greener solutions, e.g., by developing more efficient algorithms that help reduce the energy demands of large-scale computations needed in AI systems.
Benefiting from world-class research and facilities, students graduating from the Signal Processing and Data Science major will have:
A strong theoretical and methodological background of modern signal processing and data science. As a graduate you will leave with a versatile toolbox of knowledge on signals and systems modelling, data representations, optimisation techniques, along with the practical skills needed to implement practical signal processing technologies for complex, 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 develop a deep understanding of the nature and diversity of signals and data, and how these can be transformed into meaningful information using machine learning techniques. Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate, data-drivenpredictions from real world data. Extensive knowledge about the cutting-edge research in the field. Graduates benefit from close interaction with leading professors and researchers, and are well-prepared to pursue a research career if they choose to.
Benefiting from world-class research and facilities, students graduating from the Signal Processing and Data Science major will have:
A strong theoretical and methodological background of modern signal processing and data science. As a graduate you will leave with a versatile toolbox of knowledge on signals and systems modelling, data representations, optimisation techniques, along with the practical skills needed to implement practical signal processing technologies for complex, 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 develop a deep understanding of the nature and diversity of signals and data, and how these can be transformed into meaningful information using machine learning techniques. Mathematical and statistical modelling skills. Graduates master the use of mathematical models and the underlying statistical assumptions, allowing them to make accurate, data-drivenpredictions from real world data. Extensive knowledge about the cutting-edge research in the field. Graduates benefit from close interaction with leading professors and researchers, and are well-prepared to pursue a research career if they choose to.
Admission Requirements
6.5+
68+
4.5+
Eligibility: Relevant Bachelor's degree
2 Years
Sep
Tuition fees
International
17,000 EUR
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