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Entry Requirements

  • 5 GCSES at Grade 9-4.
  •  *GCSE Maths must be a Grade 7 or above.

Contact

Mrs Kite
Teacher of Maths

Dr Facey
Assistant Principal: Kingsley College

info@rainham.latrust.org.uk
FAO: Mrs Kite, KS5 Maths Teacher

Course Outline

IB Mathematics Applications and Interpretation HL is a course designed for students who wish to gain an in-depth knowledge of mathematics, but with an emphasis on the applied nature of the subject. It will appeal to students who enjoy the practical application of mathematics to real life situations. This course is suitable for students who may go on to further study in subjects that utilise mathematics in this way such as biology, the human sciences and business.

Course Content

  • The course covers the following topics:
  • Number and Algebra
  • Functions
  • Geometry and Trigonometry
  • Probability and Statistics
  • Calculus

Course Assessment

There are three papers that will be sat at the end of the two years:

  • Paper 1 (120 minutes) (30% Weighting): Technology required Compulsory short-response questions based on the syllabus.
  • Paper 2 (120 minutes) (30% Weighting): Technology required. Compulsory extended-response questions based on the syllabus.
  • Paper 3 (60 minutes) (20% Weighting): Technology required. Two compulsory extended response problem-solving questions.

This component is internally assessed by the teacher and externally moderated by the IB at the end of the course. Internal assessment in mathematics is an individual exploration. This is a piece of written work that involves investigating an area of mathematics.

Career Opportunity and Future Study

Maths isn’t just about numbers; it’s about developing essential skills in problem-solving, logical thinking, and data analysis – abilities that are highly sought after by universities and employers everywhere.

With a strong maths background, you can explore exciting paths in:

  • Finance & Accounting: Managing money, investments, and business figures.
  • Engineering: Designing everything from bridges to new technologies.
  • Technology & Computing: The core of all digital innovation, from coding to AI.
  • Medicine & Healthcare: Analysing data for research and system improvements.
  • Science & Research: Understanding complex systems and making new discoveries.