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33 Master's degrees offered by the university
Mathematics and Foundations of Computer Science
The Mathematics and Foundations of Computer Science at the University of Oxford, run jointly by the Mathematical Institute and the Department of Computer Science, focuses on the interface between pure mathematics and theoretical computer science.
Statistical Science
The Statistical Science offered at the University of Oxford is a nine-month taught course, running from October each academic year. It is similar to the MSc in Statistical Science but there is no dissertation. The course has a particular focus on modern computationally-intensive theory and methods.
Clinical and Therapeutic Neuroscience
The Clinical and Therapeutic Neuroscience course offered at the University of Oxford is designed to provide you with the knowledge and skills of advanced technologies, to conceptualise and run research projects that develop and test novel psychotropic and neurological agents.
Financial Strategy
The Postgraduate Diploma in Financial Strategy from University of Oxford is designed to sharpen your strategic and financial toolkit and equip you with the advanced approach needed to effectively navigate new business scenarios and maximise value.
Molecular and Cellular Medicine
As a student on the Molecular and Cellular Medicine from the University of Oxford you will spend up to three years in one of the department's many research groups, working on a project supervised by the group's principal investigator. You will take part in the extensive training programme specifically organised for graduate students within the department.
Neuroscience
The one year MSc in Neuroscience at the University of Oxford is interdisciplinary in content and completely inter-departmental in structure, since at least nine departments or research centres contribute to it each year.
Mathematical Sciences
The Mathematical Sciences offered at the University of Oxford, known as the Oxford Master's in Mathematical Sciences (OMMS), provides a broad and flexible training in mathematical sciences and gives students with a keen interest in the mathematical sciences the chance to study a selection of interesting and varied master's-level courses.
Nanotechnology
The Postgraduate Certificate in Nanotechnology at the University of Oxford offers a ten-month introduction to the subject for those seeking a thorough grounding in the science and application of nanotechnology.
International Wildlife Conservation Practice
The Recanati-Kaplan Centre Postgraduate Diploma in International Wildlife Conservation Practice at the University of Oxford is an eight-month, full-time course for early-career wildlife researchers.
Genomic Medicine
The MSc in Genomic Medicine at the University of Oxford is a full-time, one-year programme designed for those eager to delve into genomic science. This course equips students with essential knowledge and skills, promoting a multidisciplinary approach to enhance human health and societal benefits.
Mathematical and Computational Finance
The Mathematical and Computational Finance course at the University of Oxford provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of problems. You will develop skills to formulate mathematical problems that are based on the needs of the financial industry.
Theoretical and Computational Chemistry
The three primary activities in Theoretical and Computational Chemistry degree at the University of Oxford are development of new theory, implementation of methods as reliable software, and application of such methods to a host of challenges in chemical and related sciences. The MSc aims to train new research students to be able to deliver these outcomes.
Mathematical Modelling and Scientific Computing
This Mathematical Modelling and Scientific Computing one-year master's course at the University of Oxford provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.