256 Mathematics and Statistics MSc Degree Programs

This programme has the objective of preparing professionals able to deal with issues relating to complex systems with an engineering mentality, harmonising a solid scientific background with a command of advanced methodologies e technologies.

The Master’s Degree in Stochastics and Data Science aims at preparing students with a solid and modern education in probabilistic and statistical methods. Core topics will be advanced methodologies and techniques that are nowadays required tools for performing mathematical modelling and analysis under uncertainty (Stochastics) and for analysing and being able to interpret high-dimensional and complex data structures (Data Science).

Are you interested in using mathematics as the speaking language for areas like economics, physics, biology, and data science? Or as a challenging game for creative problem solving (like how to use the distortion of mobile phone signals to estimate the size of raindrops)? Do you want to become a skilled professional, trained to create the models and business processes necessary for this computerized world? Then this Master's might fit into the equation!

The Msc Applied and Computational Mathematics fosters skilled applied mathematicians, well-prepared for advanced industrial positions or PhD studies. The programme offers four tracks: Computational Mathematics, Financial Mathematics, Optimisation and Systems Theory, and Mathematics of Data Science.

This two-year, full-time master's programme combines mathematics, statistics and computational methods to identify, analyse and solve complex problems in modern industry and research. It provides a shared foundation in high-performance computing, computer programming, statistical inference and nonlinear optimisation, followed by specialisations including computational mathematics, computational biology, mathematical finance and machine learning.

The two-year master's programme Mathematics has two main specalisations: Applied Mathematics with topics such as dynamical systems, differential equations, probability theory and stochastics, statistics, percolation, and mathematics in the life sciences, and Algebra, Geometry and Number Theory with topics such as algebraic number theory, algebraic geometry, algebraic topology and cryptology. The goal of each programme is to train the student as an independent researcher, and to develop the necessary skills and proficiency to advance your career.

The MSc in Mathematics consists of two semesters of taught courses run by the School of Mathematics and Statistics, followed by a dissertation undertaken over the summer months. This programme is particularly suited for those seeking a career in academic mathematical research or a mathematics-related career in the private sector. 

Topics in advanced mathematics. Techniques and applications covering the classical core of mathematics and its modern developments and applications. Details are available from the Department of Mathematics and Statistics. Techniques and applications covering the classical core of mathematics and its modern developments and applications.

The MSc Mathematics joint programme is hosted by world-leading experts and research groups at KTH and Stockholm University. Students specialise in their desired areas of mathematics while acquiring essential skills in problem-solving and logical reasoning.

This course is intended introduce graduates in theoretical physics, mathematics, and related disciplines to current ideas and methods at the forefront of modern theoretical physics and mathematics research.

The two-year (120 ECTS) Master's Programme in Mathematics and Operations Research at Aalto University (School of Science) trains students in advanced mathematical modelling, statistics, optimisation and systems analysis. The programme develops strong problem-solving, analytical and logical reasoning skills and prepares graduates for research (PhD) as well as specialist and management roles in industry and the public sector. Instruction is in English and the curriculum is research-oriented and flexible, allowing students to specialise in Mathematics, Applied Mathematics, or Systems and Operations Research.

The MSc in Mathematics was rated as the best degree program in its field and awarded the 'Top Rated Program' label (Keuzegids Masters 2017). It is also the best master's program in Mathematics in the Netherlands, according to Elsevier. In our program, you are going to be part of an informal community, you are going to create your own large-scale research project, and acquire skills highly appreciated by employers, whether you pursue a career in science or a company.

The candidate must complete a dissertation in one of the fields of Mathematics in which research is actively being done in the Department of Mathematics and Applied Mathematics.

The Master's degree program 'Mathematics and Computer Science' is unique in Germany as it offers students the opportunity to study this important field with equal weighting given to each discipline.

The Master Industrial and Applied Mathematics (IAM) trains mathematical engineers to translate complex, real-world problems into mathematical models and computational solutions. The programme combines deep theoretical mathematics (continuous, discrete and stochastic) with computational skills.

A Master of Science in Mathematics provides a deep and rigorous understanding of mathematical theory, methods, and applications, equipping graduates with advanced analytical and problem-solving skills. The program focuses on areas such as algebra, calculus, statistics, number theory, and mathematical modeling, fostering critical thinking and a strong foundation in both pure and applied mathematics. Graduates […]

Mathematics opens the door to a wide range of career paths. This Master's allows you to build your own tailor-made programme and to specialise in a broad range of fields, within pure mathematics, applied mathematics and mathematical physics.

For this MSc, you will be fully embedded within an engineering faculty, benefitting from unrivalled access to a broad range of industrial collaborations and pioneering research. Spanning engineering, mathematics and computer science, this programme would suit graduates from any related discipline who would like to become versatile at solving multidisciplinary challenges.