Aims and Fit of Module

Data in the real world are dynamic, complex and sometimes messy. This complexity can be challenging for students who are new to mathematics and statistics, but it also makes data analysis meaningful and relevant. This module introduces fundamental concepts in statistics and basic data analysis, with examples drawn from real-world and discipline-related contexts.
For students in pharmaceutical sciences, biopharmaceuticals and biomedical statistics, the module builds an early understanding of how data can be described, visualized, interpreted and used to support evidence-based thinking in scientific and healthcare-related fields. It also supports the development of foundational quantitative reasoning, evidence-use and academic communication skills.

Learning outcomes

A	Describe and visualize simple statistical data using appropriate introductory statistical concepts and methods.
B	Explain basic probability concepts and apply them to simple data-related problems in scientific and healthcare-related contexts
C	Apply selected introductory data analysis methods, including simple goodness-of-fit testing, to structured datasets
D	Interpret and communicate simple statistical results using evidence-informed reasoning and reflect on how data analysis supports progression in related fields.

Method of teaching and learning

The module uses a combination of lectures, guided examples, tutorial problem-solving activities and simple data interpretation tasks. Lectures introduce key concepts in descriptive statistics, probability, probability distributions, statistical inference and introductory data analysis, using real-world and discipline-related examples where appropriate.
Tutorials provide opportunities for students to practice calculations, interpret simple datasets, discuss worked examples and receive formative feedback. Students are supported in developing quantitative reasoning, evidence use, clear communication of statistical results, and awareness of how introductory data skills support future study in biomedical statistics, pharmaceutical sciences, biopharmaceuticals and related pathways.