Mathematics MMath

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 5 years
Intakes September
Tuition (Local students) Data not available
Tuition (Foreign students) $ 80,404
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Admissions

Intakes

Fees

Tuition

Data not available
Local students
$ 80,404
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.

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