PhD in Pattern Recognition - Classifiers from Bangor University: Overview
The Ph.D. in Pattern Recognition - Classifiers from Bangor University is a 3-year, full-time doctoral program offered by the School of Computer Science and Engineering. The program has multiple intakes. For the January 2026 Intake, the application deadline is October 31, 2025. For the September 2026 Intake, the application deadline is June 30, 2026. Students are advised to apply as early as possible. Admission requires an honours degree or equivalent in the relevant field with a good score. Accepted English proficiency tests for international applicants include IELTS, Duolingo, PTE and TOEFL. A non-refundable enrollment deposit is required upon acceptance of the application. International students may be considered for scholarships, which offer a tuition fee discount depending on merit.
Ph.D. in Pattern Recognition - Classifiers from Bangor University: Dates
Applications for the Ph.D. in Pattern Recognition - Classifiers from Bangor University have multiple intakes. For the January 2026 Intake, the application deadline is October 31, 2025. For the September 2026 Intake, the application deadline is June 30, 2026. Students are advised to apply as early as possible.
Ph.D. in Pattern Recognition - Classifiers from Bangor University: Fees
The Annual cost of pursuing a PhD in Pattern Recognition - Classifiers from Bangor University is approximately £21,000(INR 24,32,194) for tuition and other fees. An estimated cost of £13,632 for living expenses.
Ph.D. in Pattern Recognition - Classifiers from Bangor University: Module
The Ph.D. in Pattern Recognition - Classifiers from Bangor University includes the following modules:
Year |
Core Modules / Activities |
Research / Thesis |
Year 1 |
- Research Methods in Machine Learning and Pattern Recognition
- Specialist Seminars in Classifiers, Statistical Models, and AI
- Workshops on Programming Tools (e.g., Python, MATLAB, TensorFlow)
- Data Ethics and Responsible AI Training
|
- Literature Review and Research Proposal Development
- Initial Experiments with Baseline Classifiers
- Design of Experiments and Pilot Studies
|
Year 2 |
- Advanced Techniques Workshops (e.g., Deep Learning, Bayesian Methods)
- Departmental Research Seminars and Peer Presentations
- Optional Skills (e.g., Big Data Processing, Cloud Computing, Publishing)
|
- Core Algorithm Development and Refinement
- Data Collection and Large-Scale Experiments
- Initial Analysis and Drafting of Papers
|
Year 3 |
- Thesis Writing and Technical Documentation Workshops
- Conference Presentations and Journal Submissions
- Professional Development (e.g., IP, Commercialisation, Industry Collaboration)
|
- Final Validation and Comparative Studies
- Thesis Completion and Submission
- Final Viva Voce Examination
|
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