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Statistical Data Analytics, Computing Sciences and Electrical Engineering

Tampere University

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.

Type

Master's degree (University)

Degree earned

Master of Science

Planned duration

2 years

Extent of studies

120 ECTS credits

City

Tampere

Tuition fee for non-EU/EEA citizens

12000 € per academic year

Link to scholarship programme

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 specialisations that involve analysis, modeling, prediction, and computation with big data: the Data Science (MSc) specialisation and the Statistical Data Analytics (MSc) specialisation focus on computational and statistical algorithms for data mining and machine learning, with differing emphases, and the Signal Processing and Machine Learning (MSc Tech) specialisation focuses on engineering accurate predictive machine learning models. 

The Statistical Data Analytics (MSc) specialisation features several similar topic areas as the Data Science (MSc) specialisation but the Statistical Data Analytics (MSc) specialisation places more emphasis on aspects of data science and artificial intelligence where statistical understanding and modeling of data uncertainty, variation and dependency is a crucial advantage. 

Statistical Data Analytics (MSc) 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 (MSc) is one of the specialisations in the Master’s Programme in Computing Sciences and Electrical Engineering.

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Get to know Computing Sciences unit of the Faculty of Information Technology and Communication Sciences (ITC)

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For more information

Please read through the information provided. For further questions regarding the application process, contact our Admissions office at admissions.tau@tuni.fi or for questions regarding the content of the programme, please contact cs.programme.msc.tau@tuni.fi.