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Pattern Recognition/Classifiers, MPhil, PhD, Bangor University

the United Kingdom

Bangor University

Study options for this course

The award How you will study Study duration Course start Domestic course fees International course fees
MPhil, PhDFull-time2 - 3 yearsSeptember, JanuaryGBP 4260 per yearGBP 16500 per year

About Pattern Recognition/Classifiers, MPhil, PhD - at Bangor University

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.

Entry requirements

For information and further detailed guidance on entry requirements for EU and International Students, including the minimum English Language entry requirement, please visit the Entry Requirements by Country pages. International applicants can also visit the International Education Centre section of our website for further details.

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Related Information

Find out more about studying in the United Kingdom

International Study Visa

As an international student you may require a valid visa to study at Bangor University. Read more about the requirements in our Guide to the United Kingdom International Student Visa Requirements.