Experts on analysing large-scale data are needed for solving challenging quantitative problems such as: the automated understanding of text documents, conversations and social media content; creating intelligent search engines; finding data-driven insights into complex phenomena in society, the economy and global culture; creating data-driven solutions for medical and biological problems; and enabling self-driving cars and autonomous robots.
Tampere University offers three related specialisations that involve the analysis, modelling, prediction, and computation with big data: the Data Science (MSc) specialisation and the Statistical Data Analytics (MSc) specialisation, which focus on computational and statistical algorithms for data mining and machine learning, and the Signal Processing and Machine Learning (MSc Tech) specialisation, which focuses on engineering accurate predictive machine learning models.
The Data Science (MSc) specialisation features similar topic areas as the Statistical Data Analytics specialisation, with the Data Science (MSc) specialisation placing more emphasis on algorithmic and computational aspects of data science and artificial intelligence.
Data Science (MSc) will help you understand data analysis as a tool and master the necessary related skills, such as data cleansing, integration, modelling and prediction, and interactive exploration of data and models. You will learn methods ranging from probabilistic approaches through efficient data mining algorithms to flexible deep learning with neural networks. You will also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.
Data Science (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.
