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Mathematics MMath
Course overview
| Qualification | Master's Degree |
| Study mode | Full-time |
| Duration | 5 years |
| Intakes | September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | $ 84,351 |
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Admissions
Intakes
Fees
Tuition
- Data not available
- Local students
- $ 84,351
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
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Entry Requirements
The University offers as its normal entry routes:
- entry at Level 1, mainly for students with Scottish Highers (or similar)
- entry at Level 2, mainly for students with A-levels (or similar).
There is nevertheless considerable flexibility, depending on the level of qualifications, for entrants with A-levels to opt to enter at Level 1 and for Scottish students to enter at Level 2. Direct entry into Level 3 is also possible for students who already have certain HE qualifications.
Level 1 entry
- Highers ABBBB including Mathematics at B
- A-Levels BBB including Mathematics
- Irish Leaving Cert (Higher) A2, B2, B2, B2, B2 including Mathematics at B2
- Int. Baccalaureate 28 points with Mathematics at Higher Level 5
Level 2 entry
- A-Levels ABB including Mathematics at A
- Advanced Highers BBB including Mathematics plus excellent Highers or Scottish Baccalaureate
- Int. Baccalaureate 30 points with Mathematics at Higher Level 6
Alternative Qualifications: Applications from students studying a relevant HNC/HND or recognised Access Programme who possess a suitable grounding or appropriate qualification in Mathematics would be welcomed.
Curriculum
Core courses:
- Modelling and Tools;
- Functional Analysis;
- Partial Differential Equations;
- Pure Mathematics (recommended).
Optional Courses:
- Mathematical Ecology;
- Optimization;
- Numerical Analysis of ODEs;
- Applied Mathematics;
- Dynamical Systems;
- Stochastic Simulation;
- Applied Linear Algebra;
- Partial Differential Equations;
- Numerical Analysis;
- Bayesian Inference and Computational Methods;
- Geometry.
Typical project subjects:
- Domain Decomposition;
- Mathematical Modelling of Crime;
- The Geometry of Point Particles;
- Can we Trust Eigenvalues on a Computer?;
- Braess Paradox;
- The Ising Model: Exact and Numerical Results;
- Banach Alegbras.