2-Semester Pathway - Undergraduate Foundation Programme - Engineering and Physical Sciences - Continue to Bachelor of Science (Honours) - Chemistry with Computing

The 2-Semester Pathway - Undergraduate Foundation Programme - Engineering and Physical Sciences is a one-year programme offers successful students guaranteed progression to Loughborough University. This programme is designed to prepare international students, who have completed senior secondary education, for entry to undergraduate studies at the university.

The International Foundation Programme is set at level 3, which is equivalent to A-level standard in the United Kingdom. The two semester programme lasts one academic year [nine months]. Each semester includes, on average, 13 teaching weeks, one reading week and one assessment week. On average, students will undertake 21 (and up to 25) hours of classroom-based study per week. This programme includes English and three academic subject modules. English will be integrated into the teaching of academic subjects, as well as being taught separately if they need additional support to develop their English language. They will be assessed at regular intervals throughout the programme to ensure they are making the progress required to successfully complete the programme. Full assessment of the programme will take place in the final semester. Assessment methodologies are aligned to those that will be experienced in the University environment, and include project work, essays, and presentations.

Chemistry, the so-called "central science", allows people to gain a rich understanding of the world around them and becomes even more powerful when combined with modern computer technology and data science. The Bachelor of Science (Honours) - Chemistry with Computing program enables students to build skills in both areas, developing an increasingly vital skillset for the modern laboratory. This degree will not only provide a solid understanding of chemistry, but also teach how modern techniques in computational chemistry and data analysis can be put to optimal use to solve chemical problems – for example in materials design, in-silico drug development, and the analysis of large data sets.