Undergraduate Foundation Programme in Engineering and Sciences

Academic English Skills aims to provide thorough training in the language and related academic skills which will enable international students to best achieve their academic potential at the partner University.

This module provides students with practical skills in MATLAB and introductory Python, supporting future study in Engineering, Computing, Physics, Mathematics, and other STEM disciplines. It equips students with computational thinking, algorithmic reasoning, and the ability to model and solve mathematical and engineering problems using appropriate software tools.  It focuses on problem-solving using computational methods, visualisation of data, matrix algebra, symbolic manipulation, linear programming, and algorithmic structures such as conditionals and loops. These skills are essential for undergraduate study, where computational tools are routinely integrated into laboratory work, simulations, modelling, and data analysis. Students come from diverse educational backgrounds; therefore, this module incorporates structured scaffolding and explicit instruction on coding, syntax, debugging, and computational logic. The module also supports students in developing academic language for explaining procedures, interpreting outputs, and presenting technical results. 

This is a core module for students progressing to undergraduate degrees in Electrical Engineering, Electronic Engineering, Robotics, Mechatronics, Physics and related STEM subjects. The module introduces students to foundational concepts in digital and analogue electronics, enabling them to understand, model and analyse circuits using standard engineering techniques. Students learn how electronic systems process information, how analogue and digital circuits work, and how to apply tools such as Boolean algebra, Karnaugh Maps, Kirchhoff's Laws, and operational amplifiers. As many students enter with varied prior experience, the module uses step-by-step scaffolding, practical demonstrations, and guided problem solving to build confidence and competence. 

Mathematics 1 forms the first part of the foundation mathematics provision designed to support students entering programmes in Engineering, Computing, Physics, Chemistry and other STEM disciplines. It provides essential knowledge in algebra, trigonometry, geometry, vectors, and functions necessary for further study in Mathematics 2 and higher-level undergraduate content. The module enhances analytical reasoning, accuracy, and confidence in tackling real-world quantitative problems, while supporting students from diverse educational backgrounds with structured scaffolding and academic language development. 

Mathematics 2 builds directly on Mathematics 1 and introduces core calculus concepts and advanced problem-solving methods essential for university-level Engineering, Computing, Chemistry, Physics and related programmes, as well as for further study in Mathematics. The module develops understanding of differentiation, integration, numerical methods, differential equations and complex numbers, enabling students to model real-world phenomena and tackle applied problems. A particular focus of this module is the use of calculus and mathematical modelling in sustainability-related contexts, such as modelling rates of change in resource use, analysing energy consumption or interpreting data related to environmental processes. 

This module provides a comprehensive introduction to the fundamental concepts of physics. Through a combination of seminars, experiments and discussions, students will gain a deep understanding of physics and develop the skills needed to succeed in further study and careers in science and engineering. Topics covered include waves, materials, mechanics, fluids, electrical circuits, and atomic physics. Students will learn about the fundamental laws of physics and how these can be applied to real-world scenarios, also enhance their English language skills through academic writing and discussions.  

The Chemistry module establishes a strong foundation in chemistry principles, covering fundamental topics in atomic structure, chemical bonding, reactions, and thermodynamics. Through hands-on laboratory experiments and analytical problem-solving exercises, students gain a deep understanding of chemistry. This module is a cornerstone for students' future studies in chemistry, as it provides them with the skills and knowledge necessary to succeed in both academic and professional settings. Chemists are in high demand in a variety of fields, including medicine, materials science, and environmental science. The Chemistry module equips students with the skills they need to contribute to these and other important fields. 

Mathematics 1 forms the first part of the foundation mathematics provision designed to support students entering programmes in Engineering, Computing, Physics, Chemistry and other STEM disciplines. It provides essential knowledge in algebra, trigonometry, geometry, vectors, and functions necessary for further study in Mathematics 2 and higher-level undergraduate content. The module enhances analytical reasoning, accuracy, and confidence in tackling real-world quantitative problems, while supporting students from diverse educational backgrounds with structured scaffolding and academic language development. 

Mathematics 2 builds directly on Mathematics 1 and introduces core calculus concepts and advanced problem-solving methods essential for university-level Engineering, Computing, Chemistry, Physics and related programmes, as well as for further study in Mathematics. The module develops understanding of differentiation, integration, numerical methods, differential equations and complex numbers, enabling students to model real-world phenomena and tackle applied problems. A particular focus of this module is the use of calculus and mathematical modelling in sustainability-related contexts, such as modelling rates of change in resource use, analysing energy consumption or interpreting data related to environmental processes. 

This module provides a comprehensive introduction to the fundamental concepts of physics. Through a combination of seminars, experiments and discussions, students will gain a deep understanding of physics and develop the skills needed to succeed in further study and careers in science and engineering. Topics covered include waves, materials, mechanics, fluids, electrical circuits, and atomic physics. Students will learn about the fundamental laws of physics and how these can be applied to real-world scenarios, also enhance their English language skills through academic writing and discussions.  

This module introduces the essential principles and concepts of computer science to students with diverse backgrounds. Students will cultivate their computational thinking abilities, which will enable them to approach real-world systems and their own creations with creative, analytical, and logical perspectives. Moreover, students will acquire foundational programming skills and will create a portfolio of programming assignments, applying the principles, techniques, and methodologies learned throughout the module in a practical context.

Providing the foundation for further study in Computing, Software Engineering, Data Science, Mathematics and related STEM subjects, this module introduces the core ideas of discrete mathematics, including sets, functions, logic, proof, number theory, modular arithmetic, and basic graph theory. Students learn how to reason clearly, construct mathematical arguments, analyse structures, and solve problems systematically. These skills are essential for success in programming, algorithmic thinking, and higher-level mathematics. Many areas of modern technology, such as algorithms, networks, cryptography and computer graphics, depend on discrete structures and logical reasoning rather than continuous calculus. The module supports students from diverse educational backgrounds by introducing concepts gradually, reinforcing problem-solving methods, and strengthening analytical reasoning. 

This is a core module for students progressing to undergraduate degrees in Electrical Engineering, Electronic Engineering, Robotics, Mechatronics, Physics and related STEM subjects. The module introduces students to foundational concepts in digital and analogue electronics, enabling them to understand, model and analyse circuits using standard engineering techniques. Students learn how electronic systems process information, how analogue and digital circuits work, and how to apply tools such as Boolean algebra, Karnaugh Maps, Kirchhoff's Laws, and operational amplifiers. As many students enter with varied prior experience, the module uses step-by-step scaffolding, practical demonstrations, and guided problem solving to build confidence and competence. 

Mathematics 1 forms the first part of the foundation mathematics provision designed to support students entering programmes in Engineering, Computing, Physics, Chemistry and other STEM disciplines. It provides essential knowledge in algebra, trigonometry, geometry, vectors, and functions necessary for further study in Mathematics 2 and higher-level undergraduate content. The module enhances analytical reasoning, accuracy, and confidence in tackling real-world quantitative problems, while supporting students from diverse educational backgrounds with structured scaffolding and academic language development. 

Mathematics 2 builds directly on Mathematics 1 and introduces core calculus concepts and advanced problem-solving methods essential for university-level Engineering, Computing, Chemistry, Physics and related programmes, as well as for further study in Mathematics. The module develops understanding of differentiation, integration, numerical methods, differential equations and complex numbers, enabling students to model real-world phenomena and tackle applied problems. A particular focus of this module is the use of calculus and mathematical modelling in sustainability-related contexts, such as modelling rates of change in resource use, analysing energy consumption or interpreting data related to environmental processes. 

This module provides students with practical skills in MATLAB and introductory Python, supporting future study in Engineering, Computing, Physics, Mathematics, and other STEM disciplines. It equips students with computational thinking, algorithmic reasoning, and the ability to model and solve mathematical and engineering problems using appropriate software tools.  It focuses on problem-solving using computational methods, visualisation of data, matrix algebra, symbolic manipulation, linear programming, and algorithmic structures such as conditionals and loops. These skills are essential for undergraduate study, where computational tools are routinely integrated into laboratory work, simulations, modelling, and data analysis. Students come from diverse educational backgrounds; therefore, this module incorporates structured scaffolding and explicit instruction on coding, syntax, debugging, and computational logic. The module also supports students in developing academic language for explaining procedures, interpreting outputs, and presenting technical results. 

Providing the foundation for further study in Computing, Software Engineering, Data Science, Mathematics and related STEM subjects, this module introduces the core ideas of discrete mathematics, including sets, functions, logic, proof, number theory, modular arithmetic, and basic graph theory. Students learn how to reason clearly, construct mathematical arguments, analyse structures, and solve problems systematically. These skills are essential for success in programming, algorithmic thinking, and higher-level mathematics. Many areas of modern technology, such as algorithms, networks, cryptography and computer graphics, depend on discrete structures and logical reasoning rather than continuous calculus. The module supports students from diverse educational backgrounds by introducing concepts gradually, reinforcing problem-solving methods, and strengthening analytical reasoning. 

Mathematics 1 forms the first part of the foundation mathematics provision designed to support students entering programmes in Engineering, Computing, Physics, Chemistry and other STEM disciplines. It provides essential knowledge in algebra, trigonometry, geometry, vectors, and functions necessary for further study in Mathematics 2 and higher-level undergraduate content. The module enhances analytical reasoning, accuracy, and confidence in tackling real-world quantitative problems, while supporting students from diverse educational backgrounds with structured scaffolding and academic language development. 

Mathematics 2 builds directly on Mathematics 1 and introduces core calculus concepts and advanced problem-solving methods essential for university-level Engineering, Computing, Chemistry, Physics and related programmes, as well as for further study in Mathematics. The module develops understanding of differentiation, integration, numerical methods, differential equations and complex numbers, enabling students to model real-world phenomena and tackle applied problems. A particular focus of this module is the use of calculus and mathematical modelling in sustainability-related contexts, such as modelling rates of change in resource use, analysing energy consumption or interpreting data related to environmental processes. 

The Further Mathematics module provides a deeper foundation for undergraduate study in Mathematics and Statistics. The module develops key topics needed in higher-level mathematical study: statistical analysis, probability theory, data interpretation, regression, differential equations, calculus and vector methods. Students learn to analyse data rigorously, solve differential equations, apply methods of multivariable calculus and interpret mathematical models. The module emphasises structured reasoning, correct notation and mathematical communication, supporting degree-level study where independent thinking and problem-solving are fundamental.

This module provides a comprehensive introduction to the fundamental concepts of physics. Through a combination of seminars, experiments and discussions, students will gain a deep understanding of physics and develop the skills needed to succeed in further study and careers in science and engineering. Topics covered include waves, materials, mechanics, fluids, electrical circuits, and atomic physics. Students will learn about the fundamental laws of physics and how these can be applied to real-world scenarios, also enhance their English language skills through academic writing and discussions.  

This module provides a focused introduction to the core principles of Cell Biology, serving as a critical building block for further study in life sciences. The module delves into the molecular and structural components of life, covering topics from biomolecules and cellular organisation to genetics and the cellular basis of disease. It also develops essential practical skills in microscopy and experimental techniques, preparing students for advanced biological studies and fostering a deeper appreciation of life at the microscopic level.

This foundational module offers a focused study of Human Biology, concentrating on the structure, function and coordination of major physiological systems. It explores how the human body maintains homeostasis through complex mechanisms, including circulation, respiration, nervous and hormonal control, and immune defence. The module aims to provide students with a solid understanding of integrated human physiology, preparing them for advanced studies in biomedical and life sciences.

Mathematics 1 forms the first part of the foundation mathematics provision designed to support students entering programmes in Engineering, Computing, Physics, Chemistry and other STEM disciplines. It provides essential knowledge in algebra, trigonometry, geometry, vectors, and functions necessary for further study in Mathematics 2 and higher-level undergraduate content. The module enhances analytical reasoning, accuracy, and confidence in tackling real-world quantitative problems, while supporting students from diverse educational backgrounds with structured scaffolding and academic language development. 

Mathematics 2 builds directly on Mathematics 1 and introduces core calculus concepts and advanced problem-solving methods essential for university-level Engineering, Computing, Chemistry, Physics and related programmes, as well as for further study in Mathematics. The module develops understanding of differentiation, integration, numerical methods, differential equations and complex numbers, enabling students to model real-world phenomena and tackle applied problems. A particular focus of this module is the use of calculus and mathematical modelling in sustainability-related contexts, such as modelling rates of change in resource use, analysing energy consumption or interpreting data related to environmental processes. 

The Chemistry module establishes a strong foundation in chemistry principles, covering fundamental topics in atomic structure, chemical bonding, reactions, and thermodynamics. Through hands-on laboratory experiments and analytical problem-solving exercises, students gain a deep understanding of chemistry. This module is a cornerstone for students' future studies in chemistry, as it provides them with the skills and knowledge necessary to succeed in both academic and professional settings. Chemists are in high demand in a variety of fields, including medicine, materials science, and environmental science. The Chemistry module equips students with the skills they need to contribute to these and other important fields. 

This module provides a comprehensive introduction to the fundamental concepts of physics. Through a combination of seminars, experiments and discussions, students will gain a deep understanding of physics and develop the skills needed to succeed in further study and careers in science and engineering. Topics covered include waves, materials, mechanics, fluids, electrical circuits, and atomic physics. Students will learn about the fundamental laws of physics and how these can be applied to real-world scenarios, also enhance their English language skills through academic writing and discussions.  

Progression to year 1 of a 4-year degree

• Architectural Studies BSc (Hons)
• Mathematics, Statistics & Accounting BSc (Hons)
• Mathematics, Statistics & Business Analysis BSc (Hons)
• Mathematics, Statistics & Economics BSc (Hons)
• Mathematics, Statistics & Finance BSc (Hons)
• Prosthetics & Orthotics BSc (Hons)

Progression to year 2 of a 5-year degree

• Biochemistry MSci
• Chemistry MChem
• Chemistry with Data Science MChem
• Chemistry with Drug Discovery MChem
• Forensic and Analytical Chemistry MChem
• Immunology MSci
• Microbiology MSci
• Pharmacology MSci
• Pharmacy MPharm
• Physics MPhys

University interview and pre-approval required before you can receive an offer.  Applications to include personal statement, contact email, skype details and interview availability for referral to the University

• Prosthetics & Orthotics BSc (Hons)

Portfolio and pre-approval required before you can receive an offer for the Undergraduate Foundation Programme

• Architectural Studies BSc (Hons)

University interview required for progression.  Only 20 places available

• Pharmacy MPharm

If you do not achieve the grades required for progression to year 2, you may be able to progress to year 1

• Biochemistry and Immunology BSc (Hons)
• Biochemistry and Microbiology BSc (Hons)
• Biochemistry and Pharmacology BSc (Hons)
• Biochemistry BSc (Hons)
• Biochemistry MSci
• Biology with Teaching (International) BSc (Hons)
• Biomedical Science BSc (Hons)
• Biomolecular Sciences BSc (Hons)
• Chemical Engineering BEng (Hons)
• Chemistry BSc (Hons)
• Chemistry MChem
• Chemistry with Data Science BSc (Hons)
• Chemistry with Data Science MChem
• Chemistry with Drug Discovery BSc (Hons)
• Chemistry with Drug Discovery MChem
• Chemistry with Teaching (International) BSc (Hons)
• Civil & Environmental Engineering BEng (Hons)
• Civil Engineering BEng (Hons)
• Computer & Electronic Systems BEng (Hons)
• Computer Science BSc (Hons)
• Data Analytics BSc (Hons)
• Electrical & Mechanical Engineering BEng (Hons)
• Electronic & Electrical Engineering BEng (Hons)
• Forensic and Analytical Chemistry BSc (Hons)
• Forensic and Analytical Chemistry MChem 
• Immunology and Microbiology BSc (Hons)
• Immunology and Pharmacology BSc (Hons)
• Immunology BSc (Hons)
• Immunology MSci
• Mathematics & Computer Science BSc (Hons)
• Mathematics & Physics BSc (Hons)
• Mathematics BSc (Hons)
• Mathematics with Teaching (International) BSc (Hons)
• Mechanical Engineering BEng (Hons)
• Mechanical Engineering with International Study BEng (Hons)
• Microbiology BSc (Hons)
• Microbiology MSci
• Naval Architecture & Marine Engineering BEng (Hons)
• Naval Architecture High Performance Marine Vehicles BEng (Hons)
• Naval Architecture with Ocean Engineering BEng (Hons)
• Pharmacology and Microbiology BSc (Hons)
• Pharmacology BSc (Hons)
• Pharmacology MSci
• Physics BSc (Hons)
• Physics MPhys
• Physics with Teaching (International) BSc (Hons)
• Product Design & Innovation BSc (Hons)
• Product Design Engineering BEng (Hons)
• Software Engineering BSc (Hons)
• Sports Design Engineering BEng (Hons)