Exact Sciences - Mathematics and Statistics University of Turku

Overview

In the Exact Sciences - Mathematics and Statistics programme at University of Turku , the studies include courses from the following topics: discrete mathematics, theoretical computer science, number theory, analysis, optimisation, mathematical modelling, insurance mathematics and machine learning.

In Statistics programme the studies include topics of computational statistics, data analysis, theoretical statistics, biometrics and econometrics.

Upon graduation, you will be able to employ the theoretical knowledge from the fields you have studied and further understand the theoretical development and practical use of the methods and theories of these fields. 

The Mathematics and Statistics track is one of the six specialisation tracks of the Master's Degree Programme in Exact Sciences (previously called the Master's Degree Programme in Physical and Chemical Sciences). The other tracks of the programme are:

• Astronomy and Space Physics 
• Chemistry of Drug Development 
• Materials Chemistry 
• Materials Physics 

• Theoretical Physics 

Career prospects

The Master of Science degree provides the skills to work in many different kinds of positions within areas such as research and development, education, and industry. The specialization track in Mathematics and Statistics provides especially good opportunities for working in research and development positions in academia and industry, as well as working as an expert on data and software oriented companies and services.

Job options

The prospects for employment at relatively senior levels are excellent for those trained in the physical, chemical and mathematical sciences and statistics. Thanks to the broad scope of the programme, the skills, and knowledge developed as part of this education at the University of Turku provide many employment opportunities in different areas.

As a mathematician or statistician, you can either go on for further studies for a career in academics or be hired by the industry or companies in a wide range of specialisation, from data-analytics, software and data engineering, financial and insurance sector, mathematical modeling, statistics, biostatistics.