Program Overview

Matematiikan ja tilastollisen data-analyysin maisteriohjelma

Tampereen yliopisto

Introduction

The rapid development of technology emphasizes the need to understand and utilize mathematical and statistical knowledge in various fields. Graduates with expertise in mathematics and statistical data analysis are in high demand in both the private and public sectors.

Program Details

• Degree: Master's degree
• Title of Degree: Master of Science (Philosophy)
• Duration: 2 years
• Extent of the Program: 120 credits
• Faculty: Faculty of Information Technology and Communication Sciences
• City: Tampere
• Campus: Hervanta Campus

Program Structure

The master's program in mathematics and statistical data analysis focuses on deepening the student's knowledge in either mathematical theoretical knowledge or statistical data analysis methods. The program consists of four optional study tracks:

• Mathematics (general study track)
• Mathematics teacher education
• Mathematics in information technology
• Statistical data analysis

Career Opportunities

Graduates of the program can work in various positions, including education, research, and industry. Typical workplaces for mathematicians and statistical data analysts include educational institutions, companies in various industries, IT companies, banks, insurance companies, public administration, research institutions, and data science companies.

Curriculum

The curriculum of the program is designed to provide students with a solid foundation in mathematical and statistical knowledge, as well as skills in data analysis and problem-solving. The program includes a variety of courses, including compulsory and elective courses, to allow students to tailor their studies to their interests and career goals.

Admission

Information about admission requirements, selection criteria, and application procedures can be found in the university's admission guidelines.

Research Areas

The program is connected to the research areas of the Faculty of Information Technology and Communication Sciences, which include mathematics, statistics, and data analysis. The faculty has a strong research profile, and students in the program have the opportunity to participate in research projects and collaborate with researchers in the field.