• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

在这里学什么？

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.

所属院系

进入哪个院系学习？ School of Computer Science and Electronic Engineering

中国学生入学要求

为来自中国的学生设计 Bachelor degree with minimum of 65% from a recognised university in China (211 university) OR Bachelor degree with minimum of 70% from a recognised university in China (non 211 university). Mature students will be considered on a case by case basis. If you do not meet the requirements for entry onto a Masters Degree in Bangor Business School then we can consider you for entry onto International Incorporated Masters. IELTS 6.0 (5.5) or equivalent. Some courses have higher English Language Requirements.

课程信息

学制：全日制(2 年)

学费：

开学时间：预计在九月 2022

申请截止日期：

留学地点：Bangor UniversityBangor (Wales),LL57 2DG, Wales