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.