Degree programme

Computing Sciences - Machine Learning

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 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, Machine Learning (M.Sc. Tech) track focuses on engineering accurate predictive machine learning models. 

Machine Learning is an engineering programme, where the particular emphasis is on implementing machine learning algorithms with an application-oriented focus, with applications related to imaging, audio or other sensor data. We study both classical and novel deep learning models as well as their software and hardware implementations. Machine learning is the core technology of artificial intelligence (AI) and currently one of the hottest topics in information technology job markets. 

Machine Learning (M.Sc. Tech) track is one of the seven tracks in the Master’s degree programme in Computing Sciences.