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Artificial Intelligence and Intelligent Agents PhD

Bangor University

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    29-SEP-25

  • Duration

    3 Years

Course summary

About This Course

Research topics include knowledge-based systems, logic, multi-agent systems, distributed systems, machine learning, data mining, computational linguistics, natural language processing, information theory and information retrieval. A central goal of the research is to develop intelligent agents, which have weak properties such as autonomy, social ability, reactivity, proactivity, temporal continuity and goal orientedness as well as strong properties such as mobility, benevolence, rationality, collaborative ability and adaptivity. Past and current projects include knowledgeable agents, text mining, text categorization, question/answering, biomedical Information Retrieval systems, Welsh-English translation, believable agents (e.g. chatbots), and artificial life agents.

Tuition fees

Students living in United States
(International fees)

£ 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

Bangor University

Bangor University

  • University League Table

    53rd

  • Campus address

    Bangor University, Bangor (Wales), LL57 2DG, Wales

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

    43rd out of 117 19

  • Entry standards

    / Max 223
    117 53%

    87th

  • Graduate prospects

    / Max 100
    76.0 76%

    78th

    3
  • Student satisfaction

    / Max 5
    3.30 83%

    7th

    68

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