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- Pattern Recognition/Classifiers PhD
Course options
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Qualification
PhD/DPhil - Doctor of Philosophy
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Location
Main Campus
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Study mode
Full time
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Start date
29-SEP-25
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Duration
3 Years
Course summary
About This Course
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. An input could be the ZIP code on an envelope, a satellite image, microarray gene expression data, a chemical signature of an oil-field probe, a financial record of a company and many more. The classifier may take a form of a function, an algorithm, a set of rules, etc. Pattern recognition is about training such classifiers to do tasks that could be tedious, dangerous, infeasible, impractical, expensive or simply difficult for humans. Pattern recognition faces many challenges in the modern era of massive data collection (e.g. in retail, communication and Internet) and high demand for precision and speed (e.g. in security monitoring and target tracking). New methodologies are needed to answer these application-born challenges.
Tuition fees
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£ 20,000per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
53rd
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Campus address
Bangor University, Bangor (Wales), LL57 2DG, Wales
Subject rankings
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Subject ranking
43rd out of 117 19
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Entry standards
/ Max 223117 53%87th
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Graduate prospects
/ Max 10076.0 76%78th
3 -
Student satisfaction
/ Max 53.30 83%7th
68