This degree allows you to develop a deeper understanding of the science of systems that can learn from data, which for example companies such as Facebook, Google, Microsoft and Yahoo require to create, innovate, and define the next generation of search and analysis technologies.
The MSc in Statistics is run by the Statistics Section of the Department of Mathematics at Imperial College London. We look forward to hearing from exceptional students to join our MSc programme in the academic year 2014-2015. The MSc in Statistics at Imperial is a one year full-time programme which provides outstanding training both in theoretical and applied statistics. We offer Compulsory Courses in the autumn term which ensure that all students obtain advanced knowledge of probability theory and fundamentals of statistical inference as well as acquire sufficient skills to tackle the challenges of modern applied and computational statistics.
The Probability and Statistics group (4 Professors, 3 Senior Lecturers and 10 Lecturers) in the School of Mathematics have a long-standing reputation and experience of offering one year, high quality taught courses in areas of Statistics leading to the degree of MSc. These courses have aimed to offer a thorough professional training which prepare students to embark on statistical careers in a variety of areas. (There is a shortage of statisticians trained to postgraduate level in the UK and the employment prospects for such people remain good.) They have also provided a very good foundation for further study at PhD level. Our current MSc programme in Statistics allows students to take one of two different MSc degrees, depending on their interests and career aspirations. There is the main programme in Statistics and one associated pathway in Financial Statistics. Each is built around a common core of five modules and then students study an additional set of three specialist modules to make a total of eight in all.
The MSc in Applied Statistics will aim to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis and communicate your results clearly and succinctly. The course aims to equip you with the computational skills to carry through the analysis and answer the problem as presented. The MSc is designed to provide a broad but high-level training in applied statistics, computational statistics and statistical methods. These topics are taught through mathematically demanding lectures and problems classes. There is extensive hands-on experience of analysis of real data through practical classes. There is also a dissertation on an applied project. You will have approximately three months to work on your dissertation under the supervision of an academic in the department.
The MSc in Machine Learning is a truly unique programme and provides an excellent environment to study machine learning. It introduces the students to the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain. Students develop an understanding of the principles underlying the development and application of new techniques in this area, alongside an awareness of, and ability to analyse the range and scope of algorithms and approaches available, and design, develop and evaluate appropriate algorithms and methods for new problems and applications.
Machine Learning, Data Mining and High-Performance Computing are concerned with the automated analysis of large-scale data by computer, in order to extract the useful knowledge hidden in it. Using state-of-the-art Artificial Intelligence methods, this technology builds computer systems capable of learning from past experience, allowing them to adapt to new tasks, predict future developments, and provide intelligent decision support. Bristol's recent investment in the BlueCrystal supercomputer - and our Exabyte University research theme - show our commitment to research at the cutting edge in this area. This programme is aimed at giving you a solid grounding in Machine Learning, Data Mining and High-Performance Computing technology, and will equip you with the skills necessary to construct and apply ML, DM and HPC tools and techniques to the solution of complex scientific and business problems.
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