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M.S. Computing Sciences, Statistical Data Analytics

The Computing Sciences – Statistical Data Analytics program from Tampere University 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.

Quick Facts

 
Full-time Duration: 2 years
Starting in: 1st of August 2021
Tuition Fee: € 12,000/year
Location: Kauppi Campus, Tampere, Finland

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.

The Computing Sciences – Statistical Data Analytics program from Tampere University 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.

Study Content

  • The analysis of data has a central role in the modern information society. Organisations in both the public and private sector are collecting vast data sets, and an increasing amount of public sector data is made open.
  • However, data – assumed to be an important asset for organisations – is useless unless it is analysed. Analysis is required to find regularities, such as trends or groupings, and to relate the data to other data sets within an organisation or in scattered online repositories.
  • Analysis needs activities such as data cleansing, data integration, modeling and prediction, interactive and iterative visualisation of data, and models for the refinement of hypotheses and models.
  • The presentation of intermediate and final results to decision-makers requires mastery of visualisation and reporting methods. Successful analysts need skills in both computational and statistical topics.

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During my Master’s studies in Bioinformatics, I gained not only up-to-date theoretical knowledge but also had the chance to use that knowledge in practice in practical sessions and in small projects. I appreciate that ‘learning by doing’ is emphasised in Finland. I think that the programme gave me enough knowledge, experience, and confidence that I decided to stay in Finland and start building my career in this field.

Ebrahim // Master’s degree programme in Biomedical Technology

Career Prospects

As a graduate you will have knowledge and skills for data analytics and understand the overall data analytics process. Such analysts can be employed in analysis firms, as in-house analysts in companies producing big data, and in companies and organisations that gather and analyse public and private data, including government agencies, journalism, insurance, law enforcement, and finance, as well as in public and private research.

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