Mathematics
Mathematical Sciences
Research
PhD
Research
PhD
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| Republic of Ireland | £4,650 | £2,325 |
| EU | £18,900 | £9,450 |
| England | £4,650 | £2,325 |
| Northern Ireland | £4,650 | £2,325 |
| Scotland | £4,650 | £2,325 |
| Wales | £4,650 | £2,325 |
| Channel Islands | £4,650 | £2,325 |
| International | £18,900 | £9,450 |
Requirements
Language requirements information is currently unavailable.
Modules
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About
The department engages in a diverse range of research topics in both pure and applied mathematics, leading to numerous publications and opportunities for graduate study.
Graduate Study Opportunities
Applications are invited from students interested in pursuing research degrees, including:
- PhD
- PhD (with foundation phase)
- MPhil
- MSc by Research
Research Areas
Research supervision is available in the following broadly defined areas:
- Applied Mathematics
- Pure Mathematics
- Statistics
Specialized Interests
Within these areas, the department covers a wide range of specialized interests:
Pure Mathematics
- Algebra
- Geometry
- Analysis
- Number Theory
Subject Area Information
Applied mathematics is a versatile and dynamic field that focuses on the practical application of mathematical techniques to solve real-world problems. This discipline bridges the gap between theoretical mathematics and its practical use in various industries, including engineering, computer science, finance, biology, and more.
1. Mathematical Modeling
2. Numerical Analysis
3. Probability and Statistics
4. Operations Research
5. Computational Mathematics
6. Financial Mathematics
- Analytical Thinking
- Computational Proficiency
- Data Analysis
- Problem-Solving
- Modeling and Simulation
Career
Graduates with a degree in applied mathematics have a wide array of career opportunities available to them, utilizing their skills to address practical problems across various industries.
Data Scientist
Analyzing and interpreting complex data to help organizations make informed decisions.
Quantitative Analyst
Applying mathematical models to financial markets to develop trading strategies and manage risk.
Operations Research Analyst
Using optimization techniques to improve organizational efficiency and decision-making.
Actuary
Assessing financial risks using mathematics, statistics, and financial theory.
Software Developer
Designing and implementing algorithms and software solutions for various applications.
Biostatistician
Applying statistical methods to biological and medical research.
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