Big Data

Computing Sciences, Data Science

Big Data

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: Data Science (M.Sc.) and Statistical Data Analytics (M.Sc.) tracks focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and Machine Learning (M.Sc. Tech) track focuses on engineering accurate predictive machine learning models.

Data Science (M.Sc.) track features several similar topic areas as Statistical Data Analytics track, but Data Science (M.Sc.) track places more emphasis on algorithmic and computational aspects of data science.

Data Science (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.

Data Science (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.