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Pattern Recognition/Classifiers PhD

Bangor University

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Bangor University

Course options

4 options available

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    Bangor University - Main Campus

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    3 Years

Course summary

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.Programme Length - PhD: 3 years full-time MPhil: 2 years full-time

Tuition fees

Students living in United States
(International fees)

£ 21,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Bangor University

Bangor University

Bangor University

  • University League Table

    49th

  • Campus address

    Bangor University - Main Campus, Bangor Main campus, Bangor, Gwynedd, LL57 2DG, United Kingdom

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With more than 10,000 students from across the world, Bangor University offers a diverse and friendly environment.
Bangor University offers postgraduate scholarships, studentships, and bursaries for international students.
The uni's International Student Support Office offers free guidance on any concerns, from student life to visas, family to accommodation, or general wellbeing.

Subject rankings

  • Subject ranking

    Computer Science

    41st out of 118 2

  • Entry standards

    / Max 229
    109 48%

    79th

  • Graduate prospects

    / Max 100
    77.0 77%

    56th

    22

  • Student satisfaction

    / Max 4
    3.13 78%

    35th

    28

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