Data Science

Overview

Studies in the Data Science from University of Helsinki include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). 

Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

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

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

Career Prospects

If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods.

If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine.