Program Overview

Introduction to the Program

The Matematiikan ja tilastollisen data-analyysin kandidaattiohjelma, or the Bachelor's Program in Mathematics and Statistical Data Analysis, is offered by Tampereen yliopisto (Tampere University). This program is designed to provide students with a comprehensive understanding of mathematics and statistical data analysis, preparing them for further studies or careers in these fields.

Program Description

The program consists of 180 credits and is typically completed in three years. It includes basic and advanced studies in mathematics and statistical data analysis, as well as elective courses that allow students to specialize in their area of interest.

Learning Objectives

Upon completing the program, students will have:

• A solid understanding of the fundamentals of mathematics and statistical data analysis
• The ability to think scientifically and work with scientific methods
• The prerequisites for further studies leading to a higher university degree
• The ability to apply their knowledge in working life and international cooperation
• Sufficient language, communication, and interaction skills for their field and international activities
• The ability to work purposefully and organize their activities, taking into account the goals of sustainable development

Curriculum

The curriculum includes:

• Basic studies in mathematics or statistical data analysis
• Advanced studies in the chosen field
• Elective courses that allow students to deepen their knowledge in specific areas

Mathematics Studies

The mathematics studies provide students with a broad understanding of the core areas of mathematics. Students will develop their ability to think abstractly and solve mathematical problems. Upon completion, students will be eligible to continue their studies in master's programs.

Statistical Data Analysis Studies

The statistical data analysis studies give students a comprehensive understanding of the core theory of statistics, important modeling and analysis methods, and their computer-based application. Students will also acquire multifaceted IT skills and a broad understanding of data handling and analysis in scientific research and practical applications.

Program Structure

The program has four study paths:

• Mathematics
• Mathematics Teacher Education
• Mathematics in Information Technology
• Statistical Data Analysis

Each study path is designed to lead to corresponding master's studies. Students are advised to familiarize themselves with the requirements of their intended master's program early on and to choose their elective courses accordingly.

Study Paths and Elective Courses

• Mathematics Study Path: Includes at least 20 credits of elective studies and other optional courses.
• Mathematics Teacher Education Study Path: Requires at least 20 credits of studies in another teachable subject or pedagogical studies for teachers. Both bachelor's and master's studies must include 60 credits of pedagogical studies and 60 credits of studies in the other teachable subject.
• Mathematics in Information Technology Study Path: Includes at least 50 credits of basic and advanced studies in information technology, as well as other optional courses.
• Statistical Data Analysis Study Path: Includes at least 20 credits of elective studies and other optional courses, with separately listed information technology courses to be completed as part of the elective studies.

Duration and Degree

The program is designed to be completed in three academic years (20242025, 20252026, 20262027) and leads to the degree of Luonnontieteiden kandidaatti (Bachelor of Science).

Language and Campus

The program is taught in Finnish, and classes are held at the Hervannan campus.

Responsibility

The program is overseen by Simo Ali-Löytty, who serves as the program manager from January 1, 2024, to December 31, 2028.

University and Community

Tampere University and Tampere University of Applied Sciences form a multidisciplinary Tampere University community, with strengths in technology, health, and society.