Master's program in mathematics and statistical data analysis
Program Overview
Introduction to the Master's Program in Mathematics and Statistical Data Analytics
The Master's program in Mathematics and Statistical Data Analytics at Tampere University is a 120-credit program designed to provide students with advanced knowledge and skills in mathematics and statistical data analysis. The program consists of four study tracks: Mathematics, Mathematics Teacher Education, Mathematical Information Technology, and Statistical Data Analytics.
Program Description
The program aims to equip students with a deep understanding of their chosen field, as well as the ability to apply theoretical knowledge in practical situations. Students will develop their skills in mathematical theory, statistical data analysis, and scientific research methods. The program also emphasizes the development of communication, interaction, and language skills, which are essential for success in international cooperation and professional life.
Study Tracks
- Mathematics: This study track focuses on the development of mathematical theory and its applications. Students will deepen their understanding of abstract structures and mathematical theories, and develop their skills in mathematical modeling and problem-solving.
- Mathematics Teacher Education: This study track is designed for students who wish to become mathematics teachers. Students will acquire the necessary mathematical and pedagogical knowledge and skills to teach mathematics at different educational levels.
- Mathematical Information Technology: This study track combines mathematics and information technology. Students will develop their skills in mathematical modeling, algorithms, and software development, and learn to apply mathematical methods to solve problems in information technology.
- Statistical Data Analytics: This study track focuses on the development of skills in statistical data analysis and its applications. Students will learn to analyze and interpret complex data sets, and develop their skills in statistical modeling, machine learning, and data visualization.
Program Structure
The program consists of 120 credits, which are divided into:
- Study track-specific courses: 60-80 credits
- Elective courses: 40-60 credits
- Master's thesis: 30 credits
Admission Requirements
Students are required to have a Bachelor's degree in a relevant field, such as mathematics, statistics, or computer science. Admission is based on academic merit, and students may be required to take additional courses to meet the program's prerequisites.
Language of Instruction
The language of instruction is Finnish, but students can also complete their studies in English.
Campus
The program is located at the Hervanta campus of Tampere University.
Degree Title
The degree title is Master of Science in Mathematics and Statistical Data Analytics.
Duration
The program takes two years to complete.
Research Areas
The program covers a wide range of research areas, including:
- Mathematical modeling and analysis
- Statistical data analysis and machine learning
- Information technology and software development
- Mathematics education and teacher training
Career Opportunities
Graduates of the program can pursue careers in a variety of fields, including:
- Research and development
- Data analysis and science
- Information technology and software development
- Education and teacher training
- Consulting and industry
