官网 坦佩雷大学

The programme 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 also learn to present data analysis results to decision-makers with descriptive summaries and visualisations.

Successful analysts need skills related to both computational and statistical topics. As an analyst, you can be employed by analysis companies in such sectors as insurance, banking, public administration and healthcare, or in government agencies, organisations, and research institutes in these sectors. In addition to studies in one’s own degree programme, students may take full advantage of the courses offered by the multidisciplinary Tampere higher education community. Welcome to join us!

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.

This programme educates top-level experts in computational and statistical data analysis who possess knowledge and skills for the aforementioned tasks and understand the overall processes of data analysis.

要申请此工作 请将您的详细情况发送到以下邮箱 info@hiias.com