Overview

The Numeracy for Medical Sciences module equips students with essential mathematical skills and analytical tools tailored for the medical and life sciences. Recognising the vital role of numeracy in medical research, diagnostics, and data interpretation, this module provides a strong foundation in mathematical concepts and techniques applicable to medical sciences. Through practical applications and problem-solving exercises, students will gain the confidence to analyse, interpret, and apply numerical data in clinical and scientific contexts.

During the course of this module students will explore the following topics:

• Arithmetic and numerical computation.
• Handling data.
• Algebra.
• Graphs.
• Geometry and trigonometry.

Assessment Strategy

Examinations for this module will be conducted on campus in an invigilated environment. These exams will follow a closed-book format, meaning that no external materials, including notes, textbooks, or online resources, will be permitted during the examination. This approach is designed to assess your understanding and application of the module content under standardised and fair conditions.

Threshold (D- to D+) A threshold student demonstrates basic knowledge of the essential facts and key concepts presented in the module. The work covers the module material only partially, and there may be gaps or inaccuracies. Arguments are present but may be underdeveloped, lack depth, or contain limited support. Examples may be sparse or only loosely connected to the points being made. The work lacks detailed analysis, critical thinking, and supporting evidence. Overall, performance in this range shows minimal competence with the module content, reflecting a basic but incomplete understanding. Satisfactory (C- to C+) A student achieving a satisfactory grade demonstrates a reasonable understanding of the essential facts and key concepts introduced in the module. The work covers the core material but may lack depth and may exhibit occasional inaccuracies or gaps in knowledge. Arguments are generally present but may be underdeveloped or lack clarity and support. Examples, where included, are relevant but may not be comprehensive or fully aligned with the argument. There is limited evidence of critical thinking, but a basic grasp of the material is evident. Performance at this level indicates an acceptable engagement with module content, but there is room for improvement in analysis, argumentation, and support. Good (B- to B+) A good student demonstrates a thorough factual knowledge across all aspects of the module and can provide relevant examples where appropriate. The work shows a logical and well-structured argument supported by module materials. It reflects a solid understanding of the content, with evidence of engagement and some critical thinking. Examples and evidence are used effectively to support the argument. This performance level indicates a strong grasp of the material, with clear, coherent expression and detailed understanding of core concepts. Excellent (A- to A) An excellent student demonstrates a thorough factual knowledge across all aspects of the module and can provide detailed examples that enhance understanding, supported by additional reading and knowledge drawn from other modules or sources. The work is characterised by a logical, cohesive, and well-supported argument that reflects a high level of understanding. Critical thinking is evident throughout, and there is clear evidence of engagement with wider reading, particularly for A+ and A grades. Work at this level demonstrates comprehensive insight, originality, and an ability to synthesise and apply knowledge effectively across various contexts.

Learning Outcomes

• Apply fundamental mathematical techniques, including algebra, to solve problems in a medical science context.

• Calculate and interpret rates, ratios, and percentages as they apply to biological and medical phenomena.

• Perform statistical analyses and interpret data, understanding key concepts such as averages, distributions, and variability.

• Use and interpret graphs, charts, and tables to represent scientific data clearly and effectively.