Program Overview

Mathematics and Statistics Foundations for Sustainability (BENV0153)

Key Information

The Mathematics and Statistics Foundations for Sustainability module is offered by the UCL Bartlett Faculty of the Built Environment, specifically through the Bartlett School of Environment, Energy and Resources. This module has a credit value of 15.

• Faculty: UCL Bartlett Faculty of the Built Environment
• Teaching department: Bartlett School of Environment, Energy and Resources
• Credit value: 15
• Restrictions: This module is restricted to undergraduate BSEER students.

Alternative Credit Options

There are no alternative credit options available for this module.

Description

This module focuses on building mathematical knowledge in the context of sustainability, aiming to provide a foundational understanding of basic mathematics and statistics for first-year students. It covers in-depth knowledge of mathematics, including calculus, vector spaces, matrices, and linear algebra, as well as statistics, such as probability, descriptive statistics, continuous/discrete random variables, and hypothesis testing. The module is designed to develop data analysis skills and introduce students to software tools like Excel, Matlab, and Python. It provides transferable skills underpinning the evidence-oriented sustainability program through real-world case studies.

Aims and Objectives

The aims of the module are to:

• Develop an understanding of the mathematical concepts that underpin the study of engineering systems.
• Introduce students to using newly acquired skills to solve practical engineering and socioeconomic problems by developing mathematical models, and use software tools (e.g., Python and MATLAB) to test and analyse these models.

By the end of the module, students should be able to:

• Recognize the connections between mathematics/statistics and engineering.
• Demonstrate how mathematical concepts are used in engineering contexts.
• Identify and draw upon a range of mathematical concepts, including Calculus, Linear Algebra, and Differential Equations, to analyse specific problems and identify the appropriate mathematics to realise a solution.
• Employ appropriate computer tools/modelling techniques and statistical analysis to efficiently solve and evaluate engineering problems.
• Present and interpret mathematical results in effective and appropriate ways to varied audiences, including non-mathematical engineering audiences.

Module Deliveries for 2026/27 Academic Year

• Intended teaching term: Term 1
• Level: Undergraduate (FHEQ Level 4)

Teaching and Assessment

• Mode of study: In person
• Methods of assessment:
  • 40% Exam
  • 60% Coursework
• Mark scheme: Numeric Marks

Other Information

• Number of students on module in previous year: 98
• Module leader: Dr Nahid Mohajeri

This module description was last updated on 10th March 2026.