Our Statistics MSc enables graduates and professionals with a strong mathematical background to research, develop and apply modern statistical modelling techniques to a range of practical settings. The course will prepare you to think critically about real-world data analysis problems arising in the public or private sector, for example in the financial, pharmaceutical or manufacturing sectors.

Key benefits

• A rigorous approach to statistical modelling and data analysis, including both the theoretical underpinnings and state-of-the-art computational tools.
• Acquiring the ability to design and evaluate data collection procedures and apply the most appropriate statistical methods to answer practical questions in a data-driven way.
• Exposure to data analysis applications arising in a variety of practical contexts.
• Lecturers have extensive experience in a wide-range of statistical problems and applications, for example in the design of experiments in industry, financial modelling, geostatistics and biostatistics.
• Flexible study course offering the opportunity to study part-time.

• The Department of Mathematics is a leading centre of research, with 100 percent of research classed as world-leading or internationally excellent (REF 2021).

  Course essentials

The Statistics MSc is aimed to develop a deep knowledge and understanding of statistics and its mathematical foundations, and enable you to think logically and objectively about data analysis and statistical learning. You will have the opportunity to learn how to apply the most appropriate statistical models to answer practical questions, using modern statistical methods and software. You will therefore learn a wide range of transferable skills, both in data analysis and in how to present and communicate the results. This will particularly apply to the individual research project. The individual research project will offer you the opportunity to learn to think independently about complex data and models. You will combine the programming skills and statistical knowledge from the taught modules in order to fit statistical models to real world data. The datasets which will be modelled and analysed are expected to arise from many different sources. Examples may include medical data, financial time series, geographic data and data from social networks. You will be supported in writing a scientific report of your finding and in presenting the report in a professional context. You must take modules totalling 180 credits to complete the course. Full time students will complete the course in one year, from September to September. Part-time students will complete the course in two years.

Employability

There are a variety of careers in statistics for graduates. There are well established routes for statisticians such as the actuarial profession or in medical statistics within a pharmaceutical firm. Over the last decade new opportunities have arisen for careers in Data Science, Artificial Intelligence and Machine Learning for computational statisticians.

Graduates from the Department of Mathematics are highly sought after by investment banks, insurance companies, pharmaceutical companies and large technological companies, to mention just a few.