Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Bachelors
Major
Mathematics | Statistics
Area of study
Langauges | Mathematics and Statistics
Course Language
English
About Program

Program Overview


Mathematics with French

Overview

Mathematics is the universal language of science and a beautiful subject in its own right. It is a discipline that also has important applications in industry and commerce, and well-qualified mathematicians are in great demand, with a wide choice of careers. For mathematicians with an interest and background in French this degree is ideal. It is a four-year degree programme with a year spent abroad typically studying mathematics through the medium of the chosen language.


Course Structure

  • Stage 1: Students must take four compulsory Maths modules plus French 1.
  • Stage 2: Students must take two compulsory maths modules plus French 2 plus two optional modules approved by an advisor of studies.
  • Stage 3: Students will take an approved Turing programme of study at a French speaking university or alternatively, an approved placement in a French speaking country.
  • Stage 4: Students must take Maths modules totalling 80 units to be approved by an advisor of studies plus French 3.

Entry Requirements

  • A-level: A (Mathematics) AB including French OR A* (Mathematics) BB including French
  • Irish Leaving Certificate: H2H3H3H3H3H3 including Higher Level grade H2 in Mathematics and H3 in French
  • International Baccalaureate Diploma: 34 points overall including 6 (Mathematics) 6,5 at Higher Level to include French
  • Graduate: A minimum of a 2:2 Honours Degree provided any subject requirement is also met

Tuition Fees

  • Northern Ireland (NI): £4,855
  • Republic of Ireland (ROI): £4,855
  • England, Scotland or Wales (GB): £9,535
  • EU Other: £20,800
  • International: £20,800

Career Prospects

  • Introduction: Studying for a degree in Mathematics with French at Queen’s will assist students in developing the core skills and employment-related experiences that are valued by employers, professional organisations and academic institutions.
  • Employment after the Course: Typical career destinations of graduates include:
    • Teaching
    • Finance and Banking (Financial Analyst, Predictive Modelling, Quantitative Analyst)
    • Management (Consultancy, Risk Analyst, Insurance)
    • Engineering and Information Technology (Data Scientist, Software and Process Engineer)
    • Statistics, Market and Operational Research
    • Research (academia and industry)
    • Government and Defence
    • Medical Science
    • Export Marketing (NI Programme)
    • Varied graduate programmes (Times Top 100 Graduate Recruiters/AGR, Association of Graduate Recruiters UK)

Modules

  • Algorithmic Thinking: Basic programming skills, introduction of software to present mathematical contents and to solve mathematical problems
  • Mathematical Methods 1: Review of A-level calculus, differential equations, vectors in 3D, Newtonian mechanics
  • Mathematical Reasoning: The notion of mathematical statements and elementary logic, mathematical symbols and notation, the language of sets, the concept of mathematical proof
  • Introduction to Algebra and Analysis: Elementary logic and set theory, number systems, bounds, supremums and infimums, basic combinatorics, functions
  • French 1: Consolidate and develop existing written and oral language skills and knowledge of French and Francophone culture
  • Mathematical Methods 2: Functions of a complex variable, series solutions to differential equations, Fourier series and Fourier transform
  • Linear Algebra: Abstract vector spaces and subspaces, linear independence, basis, dimension, linear transformations, image, kernel and dimension formula
  • Group Theory: Definition and examples of groups and their properties, countability of a group and index, Lagrange’s theorem
  • Classical Mechanics: Introduction to calculus of variations, Newtonian mechanics, generalised coordinates, Lagrangian
  • Analysis: Cauchy sequences, infinite series, uniform continuity, mean value theorems
  • Metric Spaces: Definition and examples of metric spaces, open sets, closed sets, closure points, sequential convergence
  • International Placement - Year Abroad: Students complete a work, volunteer or study placement in fulfilment of the residence abroad requirements associated with their chosen Mathematics degree
  • Numerical Analysis: Introduction and basic properties of errors, solution of equations in one variable, solution of linear equations
  • Modelling and Simulation: Analyse real-life situations, build a mathematical model, solve it using analytical and/or numerical techniques
  • Applied Mathematics Project: Self-study of an advanced mathematical topic under the supervision of a member of staff
  • Mathematical Investigations: Investigation processes of mathematics, including the construction of conjectures based on simple examples and the testing of these with further examples
  • French 3: Develop the skills and understanding required to deal with a broad variety of language tasks, linguistic, sociolinguistic and cultural awareness will be consolidated and deepened
  • Geometry of Optimisation: Functionals on R^n, linear equations and inequalities, convex polytopes, faces
  • Functional Analysis: A characterisation of finite-dimensional normed spaces, the Hahn-Banach theorem with consequences
  • Fourier Analysis and Applications to PDEs: Introduction to classical PDEs, method of separation of variables, Fourier series
  • Topological Data Analysis: Simplicial complexes, PL functions, simplicial homology
  • Quantum Theory: Overview of classical physics and the need for new theory, basic principles, elementary applications
  • Measure and Integration: Sigma-algebras, measure spaces, measurable functions, Lebesgue integral
  • Algebra: Rings, subrings, prime and maximal ideals, quotient rings, homomorphisms
  • Dynamical Systems: Continuous dynamical systems, fundamental theory, linear systems
  • Financial Mathematics: Introduction to financial derivatives, future markets and prices, option markets, binomial methods and risk-free portfolio
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