Description
The Bachelor’s Degree in Mathematics is offered by the Department of Mathematics of the School of Natural Sciences at the University of Patras. It is a study program focusing on the theoretical and applied study of mathematics and their modern scientific applications. Students acquire knowledge in algebra, analysis, geometry, statistics, computational mathematics, and mathematical modeling, as well as skills in problem-solving and scientific thinking. The program contributes to the development of graduates with analytical thinking and a high level of mathematical training.
Relation to Employment
The program aims at skills enabling careers in mathematics, statistics, education, data analysis, and research. It includes theoretical and applied training, preparing graduates for educational institutions, research centers, financial organizations, information technology companies, and data analysis organizations.
Access Requirements / Progression Opportunities
Admission to the program requires a secondary school leaving certificate and successful participation in national-level examinations or placement examinations.
Knowledge
The Undergraduate Program of the Department of Mathematics aims to educate scientists with knowledge in analysis, algebra, geometry, statistics, applied mathematics, and computational mathematical science. Students develop skills in logical and analytical thinking, mathematical modeling, problem-solving, and the application of mathematical methods in scientific and technological fields.
Skills
The program equips students with skills in logical and analytical thinking, mathematical modeling, problem-solving, statistical analysis, and the application of mathematical methods in scientific and technological fields. It includes analysis, algebra, geometry, statistics, and applied mathematics, with emphasis on theoretical and computational approaches.
Competences
The department’s program provides knowledge in theoretical and applied mathematics, developing students’ abilities in logical and analytical thinking, mathematical modeling, problem-solving, and statistical analysis. Graduates gain capabilities in the scientific and computational approach to issues of mathematics, statistics, and applications in technological and research fields.