Research course

Pattern Recognition/Classifiers

Institution
Bangor University · School of Computer Science
Qualifications
MPhilPhD

Entry requirements

A good honours degree or equivalent is required.

Months of entry

September

Course content

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.

Information for international students

Learn more at the international page.

Qualification and course duration

MPhil

full time
24 months

PhD

full time
36 months

Course contact details

Name
The Admissions Tutor
Email
admissions@informatics.bangor.ac.uk
Phone
01248 382686