BEng (Hons) Chemical Engineering Bachelor's degree at Brunel University of London

This module aims to equip students with a solid foundation in engineering mathematics and introductory programming. It develops their ability to understand and apply fundamental mathematical methods relevant to engineering practice, introduces programming as a tool for solving engineering problems, and enhances their skills in formulating, representing, and solving problems using algorithmic and computational approaches.

This module aims to equip students with a solid foundation in engineering mathematics and introductory programming. It develops their ability to understand and apply fundamental mathematical methods relevant to engineering practice, introduces programming as a tool for solving engineering problems, and enhances their skills in formulating, representing, and solving problems using algorithmic and computational approaches.

This module will develop essential skills required by students across all engineering disciplines, supporting their progression through higher education and into professional practice, with the aim of maximising employability. Skills development will be addressed in the following areas: problem solving; personal and professional development; career planning; basic engineering design; introductory project management; communication; working effectively in inclusive teams; and health, safety, and s

This module will provide a grounding in the concepts of measurement and uncertainty. It will also develop students' knowledge of the applied physics relationships that govern engineering systems, focusing on system boundaries and variables of interaction, and will establish the ability to define system boundaries and apply relevant simple models.

To provide a grounding in concepts of measurement and uncertainty; to provide knowledge about applied physics relations that govern engineering systems within their boundaries and via their variables of interaction; to establish ability to define system boundaries and apply relevant simple models.

To provide a grounding in the fundamental principles of engineering mechanics; to provide knowledge and understanding of Newton's laws and their application for the solution of static problems; to provide experience and confidence in problem-solving.

To provide a grounding in the fundamental principles of engineering mechanics, including statics and dynamics; to provide knowledge and understanding of the common and important material properties for various engineering applications; to provide experience and confidence in problem-solving.

The aim of this module is to provide an overview of the roles chemical engineers play both from an industrial perspective and in research in development. The module will cover the basic principles of chemical engineering aspects, processes and their applications. It will provide students with examples of successfully implemented industrial processes, processes under development, and open-ended challenges by incorporating principles of heat and mass balances, safety and sustainability, and finall

The primary aim of this module is to prepare and arm our graduates with interpersonal skill sets, practical hands-on experience, and tools essential for a modern chemical engineer to approach, develop and solve day to day challenges attractive to employers. Topics include unit operations, process control, computer-aided simulation, and all aspects of process safety.

The aim of this module is to develop knowledge and skills of applied mathematics and statistical concepts useful to solve engineering problems. This includes the ability to develop simple mathematical models that represent experimental data set, estimate relevant model parameters and assess model performance as well solving differential equations describing chemical engineering phenomena. Students will be introduced to relevant statistical software (e.g. R, Python).

The aim of this module is to introduce the theory and applications of chemical-engineering thermodynamics including the fundamentals of phase equilibria, solution thermodynamics and chemical-reaction equilibria, various types of power generation systems and main thermodynamic cycles. The students will learn to interpret and apply theories in analysing equilibrium thermodynamic systems.

The aim of this module is to introduce chemical and biochemical reaction engineering and basic (bio)reactor system design. It includes studying the principles of reaction kinetics and their optimisation, in order to define the best reactor design for homogeneous and heterogeneous processes. The application of fundamental theory will be demonstrated using traditional and modern industrial examples.

The main aim of this module is to present the various forms of transport phenomena and their mechanisms (momentum, heat and mass transfer) and to apply knowledge to typical chemical engineering problems.

This module aims to provide fundamental chemical science knowledge and deliver principles of scientific problem analysis and problem-solving skills through the integration of chemical concepts, materials processing, and analytical methodology

This module introduces the basic concepts and governing laws of heat and mass transfer.

The primary aim of this module is to introduce the unit operations of distillation absorption/desorption, humidification, adsorption and solvent extraction, based both on equilibrium stage design and on transfer rate limited operation deploying varying analytical and numerical methods. Rigorous calculation of binary and multicomponent system and back mixing will be taught. Concept of stage efficiency will be introduced to address real life scale up challenges for industrial applications.

This module develops students' advanced understanding of the principles, methodologies, and considerations involved in the design of chemical processes and low carbon technologies. Students will learn to design, analyse, and synthesise complex processes while evaluating their techno-economic, environmental, and societal impacts. The module integrates process safety principles and techniques to support the development of safe and sustainable process designs, while also enhancing engineering manag

The aim of the design project is to allow students to take full responsibility for a major "individual" design exercise in Chemical or Biochemical Engineering which allows them to be innovative and creative while balancing technical risk versus profit with full economic evaluation. The complexity arising from the interaction and integration of the different parts of the process or system will be addressed. The major project will be undertaken by teams of students so contributing to the developme

The primary aim of this module is to meet the growing need of industry for graduates with high level knowledge and skills in materials processing and separation technology. The students will develop an understanding of the unit operations processes which incorporate adsorption and membrane technologies, such organic or ceramic systems, as alternatives to equilibrium stage traditional processes.

This module helps students to understand process synthesis through proper selection and integration, develop and evaluate reaction-operation-recycle flowsheet together with process design optimisation, process safety concepts and basics of design of experiment in quality engineering

The main aim of this module is to provide the students with knowledge and understanding of the grand challenges and key principles in energy, water and food sustainability. The students will be introduced to energy and economic policies as well as knowledge of technology aspects and skills needed to analyse energy systems. They will learn to use analytical methods to critically assess and compare energy systems with respect to sustainability issues.

The main aim of this module is to teach graduates how to design and implement control systems for continuous chemical processes in modern chemical plants which are dynamic systems and therefore require automated control. Students will be introduced to key process variables (and how they change with time), control methods, control philosophy and examples of control systems for common unit operations, including combustion, compressors and distillation.

The main aim of this module is to familiarise students with the key concepts in Big Data Analytics, enabling the students to identify appropriate advanced statistical methodologies to gain insights in process plant operations. Students will be exposed to the practical use of advanced statistical packages (e.g. R) to consolidate their understanding.