
The Master of Science in Mathematical Statistics (Mathematics) is a two-year, full-time on-campus program that focuses on the theory and application of probability and statistical methods. The program covers key areas such as stochastic processes, statistical inference, probability theory, and data analysis. Students develop a strong understanding of how mathematical models are used to interpret uncertainty and analyze complex data in scientific and real-world contexts.
Graduates are well-prepared for careers in data science, statistical modeling, and quantitative analysis within finance, insurance, technology companies, and research institutions. The program emphasizes strong probability theory and statistical inference, equipping students with advanced analytical skills needed to work with data-driven decision-making and predictive modeling.
Semester 1 – Foundations of Mathematical Statistics
• Introduction to Probability Theory
• Descriptive Statistics and Inference
• Statistical Computation
• Research Methods in Statistics
Semester 2 – Advanced Statistical Theory
• Advanced Probability and Stochastic Processes
• Statistical Inference and Estimation
• Multivariate Statistical Analysis
• Elective Modules in Mathematical Statistics
Semester 3 – Specialized Statistical Methods
• Statistical Modeling and Simulation
• Time Series Analysis
• Bayesian Statistics
• Fieldwork/Research Project in Mathematical Statistics
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Data Analysis Techniques
• Final Presentation & Research Evaluation
Graduates of the Mathematical Statistics Master’s program are highly sought after in data science, biostatistics, and financial modeling. With expertise in statistical methods, data analysis, and modeling techniques, graduates can pursue roles as statisticians, data analysts, biostatisticians, or financial analysts. The growing demand for data-driven insights in various industries ensures strong career prospects in tech companies, healthcare, and financial institutions.
Mathematical Statistics program focuses on statistical analysis, data modeling, and mathematical theory. Students will gain deep knowledge of statistical methods and learn to apply them to real-world data sets. The program prepares graduates for careers in data science, biostatistics, and financial analysis, equipping them with the skills to derive actionable insights from complex data.
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