
The Master of Science in Mathematics (Mathematics) is a two-year, full-time on-campus program that provides advanced education in pure and applied mathematics. The program covers key areas such as algebra, analysis, differential equations, probability theory, and mathematical modeling. Students develop a strong understanding of mathematical structures and techniques used to solve complex theoretical and practical problems across science and engineering fields.
Graduates are well-prepared for careers in mathematical research, data analysis, and quantitative modeling within academia, finance, technology, and engineering sectors. The program emphasizes strong theoretical mathematics and applied mathematical methods, equipping students with advanced analytical and problem-solving skills applicable to a wide range of scientific and industrial challenges.
Semester 1 – Foundations of Mathematics
• Introduction to Mathematical Analysis
• Linear Algebra
• Probability and Statistics
• Research Methods in Mathematics
Semester 2 – Advanced Mathematical Methods
• Real Analysis
• Abstract Algebra
• Differential Equations
• Elective Modules in Applied Mathematics
Semester 3 – Specialized Mathematical Techniques
• Mathematical Modelling and Simulation
• Topology and Geometry
• Computational Mathematics
• Fieldwork/Research Project in Mathematics
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Mathematics Topics
• Final Presentation & Research Evaluation
Graduates of the Mathematics Master’s program are highly sought after in data science, financial analysis, and academic research. With expertise in pure mathematics, applied mathematics, and statistical analysis, graduates can pursue roles as data scientists, financial analysts, mathematical modelers, or university professors. The demand for mathematical expertise in fields like data science, finance, and technology ensures strong career prospects in tech companies, financial institutions, and research organizations.
Mathematics program focuses on mathematical theory, applied mathematics, and data analysis. Students will gain a deep understanding of mathematical concepts and their applications in real-world problems. The program prepares graduates for careers in data science, financial modeling, and academic research, equipping them with the analytical skills to solve complex problems in various industries.
For further information, please contact the admissions office at:
Phone: +46 46 222 00 00
Email: info@lu.se
Address: Lund University, Paradisgatan 2, 221 00 Lund, Sweden