University of Edinburgh

The University of Edinburgh is one of the world’s top universities, consistently ranked in the world top 50 and placed 15th in the 2023 QS World University rankings. It has an international reputation for innovative research across a wide range of disciplines and is always working to develop innovative approaches to teaching in order to discover the methods that work best for students. It is ranked in the world’s top 10 student cities. Edinburgh is a compact city with excellent transport links, which makes it easy to get around and to travel to other parts of Scotland. 

Large enough to offer something for everyone, but small enough to feel like home, Edinburgh is a modern, sophisticated and beautiful European city with a diverse, multicultural community.  

Edinburgh students have access to all the facilities and support they will need in order to succeed. 

The Maths Department

The School of Mathematics has an outstanding reputation in undergraduate and postgraduate education, and offers a wide range of undergraduate, MSc and PhD programmes. It is a world-leading department, covering almost all aspects of Pure and Applied Mathematics, Operational Research and Statistics as well as Mathematical Education. The department is closely connected to other disciplines within the University, so if you study here there are many opportunities to follow whichever directions your work and passion takes you. A postgraduate degree in mathematics can lead to your choice of career paths. Our graduates go on to successful careers in academia, industry and banking. We will teach you the skills required for carrying out excellent research and an extensive range of transferable skills.     

The Masters courses offered through Martingale

MSc in Computational Applied Mathematics

The Computational Applied Mathematics MSc programme trains a new generation of applied mathematicians with strong expertise in computational and data-driven methods.

Mathematical models and computational methods are at the heart of the technological and scientific advances that are shaping our world. This MSc provides students with the strong foundations needed to contribute to these advances and become science and technology leaders. It equips them with vital skills in mathematical and statistical modelling, numerical methods, data science, machine learning and high-performance computing.

Students will also undertake a dissertation in the form of a supervised research project on a cutting-edge topic proposed by Applied & Computational Mathematics staff, by collaborators across the University of Edinburgh, or by industry contacts. The project provides practical experience and skills for tackling scientific and industrial problems which require data-driven and computational approaches as well as mathematical insight.

MSc in Operational Research

Operational Research is the science of using mathematical techniques to tackle real-life decision problems ranging from scheduling flights and routing mobile phone calls, over optimising power systems and logistic networks, to managing investments and minimising risks.  

Operational research is an important skill which is in high demand, and you will enjoy this MSc if you like solving practical quantitative problems and seeing the solutions implemented. By studying operational research you will develop a valuable combination of mathematical, modelling, analytical, computing, interpersonal and communication skills. You will also undertake a dissertation, applying skills developed earlier in the programme to real operational research problems. Projects are either proposed by research staff in the School, or can often take the form of a consultancy exercise for a sponsoring organisation.  

Within the MSc in Operational Research we offer three specialisations in Computational Optimization, Data Science, or Risk. Once admitted to the MSc in Operational Research, students have the option to add a specialisation in Computational Optimization, Data Science or Risk.

MSc in Statistics and Operational Research

Our society revolves around variation, uncertainty and risk. In an increasingly data-driven world, statistics and operational research both play a key role in making sense of data within a rigorous mathematical framework. Thus, they continue to be increasingly important sciences of relevance in all areas of modern businesses, government, and academic research.  

This programme will help you develop professionally in the theory and practice of both statistics and operational research. You will also undertake a dissertation in the form of a supervised research project on a cutting-edge topic proposed by research staff in the School, by collaborators across the University of Edinburgh, or by industry contacts.   

You will be able to identify appropriate statistical or operational techniques, which can be applied to practical problems, and will acquire extensive skills in modelling using appropriate software packages for statistics and simulation. This MSc is accredited by the Royal Statistical Society.  

MSc in Statistics with Data Science

In this digital and data-rich era the demand for statistics graduates from industry, the public sector and academia is high. The recent growth of data science has increased the awareness of the importance of statistics, with the analysis of data and interpretation of the results firmly embedded within this newly recognised field.  

This programme is designed to train the next generation of statisticians with a focus on the newly recognised field of data science. The syllabus combines rigorous statistical theory with wider hands-on practical experience of applying statistical models to data. In particular the programme includes classical and Bayesian ideologies, computational statistics, regression, and data analysis of a range of models and applications. You will also have the opportunity to undertake an industry-based consultancy-style dissertation project. This MSc is accredited by the Royal Statistical Society. 

The PhD courses offered through Martingale

PhD in Algebra

PhD in Algebra, Geometry and Mathematical Physics (CDT)

PhD in Analysis

PhD in Applied and Computational Mathematics 

PhD in Geometry and Topology 

PhD in Mathematical Physics 

PhD in Optimization and Operational Research

PhD in Probability & Stochastic Analysis 

PhD in Statistics