#### Partner universities

# University of Oxford

The University of Oxford is the oldest university in the English-speaking world. It has an outstanding global reputation for its teaching, research and contributions to society. It combines rich history and tradition with the innovative and forward-thinking approach of a modern university. The University of Oxford’s graduate students have access to outstanding resources and facilities, including over 100 libraries, cutting-edge experimental labs and world-famous museums and collections. The university’s collegiate system provides excellent support, facilities, and membership of a friendly and stimulating multidisciplinary academic community. Graduate students are key to its academic community and join its world-leading academics in tackling the most important questions we face today.

**The Maths Department**

Mathematics is the engine behind science in the 21st century. It has an inherent logic and beauty, while also providing the structure and models from which natural scientists, social scientists and others build an understanding of our world and construct the tools to improve our lives. The University of Oxford’s Mathematical Institute embraces this power and diversity by combining its pure and applied mathematicians in one department and one building, ensuring collaborations both within and beyond Oxford.

The Andrew Wiles Building provides an outstanding environment and state-of-the-art facilities for mathematical teaching and research. It has over 850 undergraduates, more than 350 postgraduate students and over 200 academic staff. Together, they study and work across all fields of mathematics, from number theory to the mechanics of the human brain. In the most recent Research Excellence Framework assessment, 78% of the department’s submission was judged to be world-leading in terms of originality, rigour and significance.

The Mathematical Institute and St John’s College have partnered to ensure that students admitted via the Martingale Scholarship will typically have the option to be admitted as members of St John’s College and become part of an Oxford Martingale Scholars Cohort. If you would like more information on this partnership, please contact the Mathematical Institute directly.

**The Masters courses being offered through Martingale**

**MSc in Mathematical Sciences**

**MSc in Mathematical Sciences**The Oxford Masters in Mathematical Sciences (OMMS) provides a broad and flexible training in the mathematical sciences and offers students with a keen interest in the mathematical sciences the opportunity to work with an international group of peers, including other mathematical leaders of the future. The course runs from the beginning of October through to the end of June. OMMS students can tailor the programme to their individual interests and requirements by choosing from many options in mathematics, statistics, and computer science: from number theory, geometry and algebra to genetics and mathematical physiology; from probability and mathematical geoscience to data mining and machine learning. The compulsory dissertation provides an opportunity to develop research techniques as well as presentation and scientific communication skills.

**MSc in Mathematical and Theoretical Physics**

**MSc in Mathematical and Theoretical Physics**The MSc in Mathematical and Theoretical Physics is a high-level postgraduate course that takes students from a standard undergraduate degree in Mathematics or Physics to the point where they can do original research. It is a joint course between the Mathematical Institute and the Theoretical Physics department at Oxford, combining topics from both disciplines specially blended together for a truly interdisciplinary programme. The course runs from the beginning of October through to the end of June, and the four main areas covered by the course are: Quantum Field Theory, Particle Physics and String Theory; Theoretical Condensed Matter Physics; Theoretical Astrophysics, Plasma Physics and Physics of Continuous Media; and Mathematical Foundations of Theoretical Physics. Students have great flexibility and can chose one of these areas, or any combination of them.

**MSc in Mathematics and Foundations of Computer Science**

**MSc in Mathematics and Foundations of Computer Science**Oxford University’s MSc course in Mathematics and Foundations of Computer Science is a full-time programme that runs from early October through to the following September. It is aimed at students seeking a rigorous and intellectually stimulating experience in the realms of mathematics and computer science. The course is well-suited for individuals who possess a strong foundation in both subjects and have a genuine passion for exploring their interconnections. Prospective students should have a keen interest in abstract reasoning, problem-solving, and a desire to delve into the theoretical underpinnings of computer science. This program attracts students who aspire to deepen their understanding of advanced mathematical concepts and their applications in the field of computer science. It is ideal for those with aspirations in academia, research, or pursuing careers in industries where technical skills in mathematics and computer science are highly valued. The dissertation research projects allow students to pursue a novel research project on a topic that they agree on with an academic supervisor.

**MSc in Mathematical Modelling and Scientific Computing**

**MSc in Mathematical Modelling and Scientific Computing**The MSc in Mathematical Modelling and Scientific Computing aims to train graduates with a strong mathematical background to develop and apply their skills to the solution of real problems. By the end of the course students should be able to formulate a well-posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate mathematical analysis, select or develop an appropriate numerical method, write a computer program which gives sensible answers to the problem, and present and interpret these results. Particular emphasis is placed on the need for all these parts in the problem-solving process, and on the fact that they frequently interact and cannot be carried out sequentially. The course lasts for 12 months and assessment is by a mixture of written examinations and short written reports, as well as a compulsory dissertation which students work on for about four months.