Pattern Recognition and Classifiers MPhil

Study modes: Full time

Course description: Pattern recognition is a very active field of research intimately bound to machine learning and data mining; also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input pattern.(read more)

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All statistics courses at Bangor University

Statistics and Econometrics MSc

Study modes: Full time

Course description: The course is aimed at students whose first degree included training in both statistics and economics; modules for this course look at how specialised statistical methods are required to deal with the peculiar problems of economic data.(read more)

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All statistics courses at University Of Essex

Statistics MSc (Research)

Study modes: Full time | Part time evening

Course description: Research supervisions available in the areas of: pure mathematics; applied mathematics; statistics; operational research; algebra (semi groups); mathematical modelling of laser materials processing; mathematical and statistical studies of the remote sensing of rain; computational operational research.(read more)

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All statistics courses at University Of Essex

Statistics and Applied Probability MSc

Study modes: Full time

Course description: Modules include: Advanced topics in statistics; computational statistics; advanced stochastic processes; probability theory; stochastic financial modelling; applied probability; applications of statistics; time series and forecasting; and a dissertation.(read more)

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All statistics courses at University Of Nottingham

Statistics MSc

Study modes: Full time

Course description: Modules include: Fundamentals of statistics; statistical interference; generalised linear models and medical statistics; advanced topics in statistics; stochastic financial modelling; advanced stochastic processes; time series and forecasting; applications of statistics; plus a dissertation.(read more)

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All statistics courses at University Of Nottingham

Statistics and Operational Research MSc

Study modes: Full time

Course description: This course is aimed at students with a 1st degree in which the major subject was mathematics although some prior knowledge of statistics (e.g. significance testing and basic statistical distributions) and operational research (e.g. linear programming) is expected.(read more)

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All statistics courses at University Of Essex

Medical Statistics MSc

Study modes: Full time | Part time evening

Course description: The taught programme provides understanding and practical expertise in applying statistical methods used widely in medical research and epidemiology, including survival analysis, categorical data analysis, models for analysing longitudinal data and meta-analysis.(read more)

All statistics courses at Oxford Brookes University

Statistics MSc

Study modes: Full time

Course description: Modules give a thorough grounding in modern statistical methods and cover probability and inference, regression, design and analysis of experiments, sampling, multivariate analysis, analysis of discrete data and modern computational statistics.(read more)

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All statistics courses at University Of Kent

Statistics MPhil

Study modes: Full time | Part time evening

Course description: This course involves both taught classes in Statistics and a substantial MPhil thesis which accounts for almost two-thirds of the total degree; it is an ideal preparation for entry into the PhD programme at Birmingham or at any other UK university; indeed, the MPhil programme can be used as the 1st phase of our fast track PhD programme.(read more)

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All statistics courses at University Of Birmingham

Statistics and Data Analysis MSc

Study modes: Full time

Course description: This course focuses on the ability to analyse data, which is fundamental to quantitative social science; some modules on this course are also given by specialists from the Institute for Social and Economic Research.(read more)

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All statistics courses at University Of Essex

Social Research Methods and Statistics MSc

Study modes: Full time | Part time evening

Course description: Core modules: Research design, methods and methodology; methods of data collection; data analysis using SPSS; rationale and philosophical foundations of social research; qualitative research methods; survey research methods; advanced data analysis; electives: analysing media discourses; statistical modelling; social policy research and evaluation.(read more)

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All statistics courses at City University London

Statistics MSc (Research)

Study modes: Full time | Part time evening

Course description: Supervision is available for research within the Statistics Group, which undertakes a varied range of research, with emphasis on both the theoretical and the applied; the group has strong connections with research universities in the United States, such Texas A&M University, and the University of Texas; all postgraduate students are encouraged to take part in seminars and to help in tutorial classes.(read more)

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All statistics courses at University Of Kent

Statistics with Applications in Medicine MSc

Study modes: Full time | Part time evening

Course description: This programme provides a broad grounding in advanced statistical methods, with a focus on applications in research, the NHS and the pharmaceutical industry; the School has close connections with many pharmaceutical companies and medical research organisations; the programme structure also allows mathematicians with some statistical experience to move into this field.(read more)

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All statistics courses at University Of Southampton

Statistics and Data Analysis MPhil

Study modes: Full time | Part time evening

Course description: Supervision is available in all areas of staff expertise related to statistics and data analysis.(read more)

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All statistics courses at University Of Essex

Statistics and Computer Science MSc

Study modes: Full time

Course description: Course for mathematically trained candidates who wish to develop expertise in aspects of computer science; students with no experience of programming in Java are required to take the autumn term double module Programming with Java.(read more)

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All statistics courses at University Of Essex

Statistics MPhil

Study modes: Full time

Course description: Research falls into 4 categories: Applied probability: epidemic models; ion channel models; mathematical finance; stochastic analysis of shape; diffusion on manifolds; semi-Markov processes; and probability inequalities; image and shape analysis: high-level Bayesian image analysis; medical imaging analysis; spatio-temporal modelling; and texture analysis; statistical archaeology: tree-ring dating; analysis of seriation data.(read more)

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All statistics courses at University Of Nottingham

Statistics and Operational Research MPhil

Study modes: Full time | Part time evening

Course description: Supervision is available in all areas of staff expertise related to statistics and operational research.(read more)

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All statistics courses at University Of Essex

Statistics MPhil

Study modes: Full time | Part time evening

Course description: Research supervisions available in the areas of: pure mathematics; applied mathematics; statistics; operational research; algebra (semi groups); mathematical modelling of laser materials processing; mathematical and statistical studies of the remote sensing of rain; computational operational research.(read more)

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All statistics courses at University Of Essex

Statistics MPhil

Study modes: Full time | Part time evening

Course description: Supervision is available for research within the Statistics Group, which undertakes a varied range of research, with emphasis on both the theoretical and the applied; the group has strong connections with research universities in the United States, such Texas A&M University, and the University of Texas; all postgraduate students are encouraged to take part in seminars and to help in tutorial classes.(read more)

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All statistics courses at University Of Kent

Statistics MPhil

Study modes: Full time

Course description: Main research areas include: Applications in biology, finance and medicine; applied stochastic processes, geometrical probability; Bayesian modelling, theory and computation, stochastic simulation, statistical genetics, changepoint problems, Bayesian non-parametric methods, random effects models, mixture models, survival analysis; design of experiments, randomisation.(read more)

All statistics courses at Imperial College London