Data Science University of Helsinki

Overview

This Data Science MSc Programme from University of Helsinki combines computer science and statistics to solve exciting data-intensive problems in industry and many fields of science. As data is collected and analysed in all areas of society, the demand for professional data scientists is high and will grow even further.

In the interdisciplinary Master's Programme in Data Science, you are trained to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

You can specialise either in the core areas of data science -- machine learning and algorithms, infrastructure and statistics -- or in its applications. This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data science specialist in an application field by incorporating studies in another subject.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. 

In particular, you will be able to:

• Understand the general computational and probabilistic principles underlying modern; machine learning and data mining algorithms

• Apply various computational and statistical methods to analyse scientific and business data;

• Assess the suitability of each method for the purpose of data collection and use;

• Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms;

• Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge;

• Report results in a clear and understandable manner; and

• Analyse scientific and industrial data to devise new applications and support decision making.