Degree programme

Computing Sciences, Statistical Data Analytics

Make big sense of big data

Big data and data-driven methods are at the centre of modern computer science, statistics and computer engineering and hold great promise for the future.

Experts on analyzing data are needed for solving challenging data driven problems such as understanding of text documents, conversation and social media; creating intelligent search engines; finding data-driven insights into phenomena of society, economy and culture; creating data-driven solutions for medical and biological problems; and enabling self-driving cars and autonomous robots.

Tampere University offers three related study tracks that involve analysis, modeling, prediction, and computation with big data: the Data Science (M.Sc.) track and Statistical Data Analytics (M.Sc.) track focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and the Machine Learning (M.Sc. Tech) track focuses on engineering accurate predictive machine learning models.

Statistical Data Analytics (M.Sc.) track features several similar topic areas as the Data Science (M.Sc.) track but Statistical Data Analytics (M.Sc.) track places more emphasis on aspects of data science where statistical understanding and modeling of data variation and uncertainty is a crucial advantage.

Statistical Data Analytics (M.Sc.) teaches you to understand data analysis and master necessary 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.

Statistical Data Analytics (M.Sc.) track is one of the seven tracks in the Master’s degree programme in Computing Sciences, a new degree programme starting in August 2020.