International Foundation Year in Engineering, Science and Computing

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 introduces the essential principles and concepts of computer science to students with diverse backgrounds, aiming to prepare them for further undergraduate studies in this field. By engaging with this module, 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 programme, applying the principles, techniques, and methodologies learned throughout the module in a practical context.

The module is designed to provide a strong foundation in mathematical modelling and core mathematics skills required for courses in Engineering, Computing, Economics & Finance and other STEM subjects. Its overall aim is to develop the academic language, subject-specific knowledge, academic study skills, and cultural awareness of international students from a wide range of countries and educational systems. This will enable them to progress confidently onto their chosen undergraduate programme with the appropriate subject background skills. The module also aims to foster an interest in mathematics and its applications, while enhancing students' self-confidence, initiative-taking, and independent working skills.

The Statistics with Project Skills module aims to develop students’ statistical competence in Semester 1 and to apply research, collaborative, and investigative skills in Semester 2 through a structured sustainability-focused project. The module integrates quantitative reasoning with authentic project-based inquiry to prepare students for undergraduate study.

The module is divided into two integrated phases. In Phase 1, students develop core statistical knowledge and techniques through structured disciplinary problem-solving. In Phase 2, students will engage in an investigative project, collaborating, if possible, within multidisciplinary teams to explore and resolve sustainability challenges. This phase builds directly on the subject knowledge and analytical skills developed in Semester 1.

Duration of the degree

The following degrees run for a duration of four years:

• MEng Electronic Engineering
• BEng Electronic Engineering with a Year in Industry (available with integrated year in business degree option)
• BSc Computer Science (Year in Industry)
• BSc Computer Science Artificial Intelligence (Year in Industry)
• BSc Computer Science Information Security (Year in Industry)
• BSc Computer Science Software Engineering (Year in Industry)

The following degrees run for a duration of five years:

• MEng Electronic Engineering with a Year in Industry (available with integrated year in business degree option)