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Maths Route

The Mathematics Route (STEM Course) is designed for students aiming to progress to degree programmes in Mathematics, Data Science, MORSE (Mathematics, Operational Research, Statistics and Economics), or related fields.

This route provides a strong foundation in advanced mathematical concepts, analytical thinking, and problem-solving techniques. You will develop the theoretical understanding and practical skills needed to apply mathematics to real-world challenges across science, engineering, and data-driven disciplines.

Throughout the course, you will strengthen your ability to construct, analyse, and interpret mathematical models, while deepening your understanding of key areas such as statistics, algebra, and calculus. You will also gain experience using industry-standard software for mathematical computation and modelling, alongside building strong research, communication, and teamwork skills essential for success in higher education and beyond.

By the end of the course, you will be well prepared to progress to undergraduate degrees in mathematics and related subjects, and to pursue future study or careers in fields such as data analysis, finance, research, and technology.

Key Information

Mode of Study: Full-time, on-campus

Course Start: 28 September 2026
(available as Extended IFP, start date - 17 August 2026)

Course End: 3 July 2027

Fees: £27,150 (£29,950 for Extended IFP)

Department: Warwick Global Academy 

Application Deadline: 10 August 2026

Academic Research and Communication Skills
This module develops the academic language, literacy, and research skills needed for success in UK higher education. Students will practise reading, writing, listening, and speaking in academic contexts, learning how to structure arguments, present ideas clearly, and communicate effectively in written and spoken formats. The module also introduces critical academic practices such as evaluating sources, engaging in inquiry-based research, and reflecting on learning. Through teamwork and a research-based project, students apply these skills to authentic academic tasks. By the end of the module, students will be able to plan, produce, and present structured academic work, collaborate effectively with others, and demonstrate the independent study skills required for undergraduate success.

Foundation Mathematics for Science and Engineering
This module develops the mathematical and statistical skills required to analyse problems in scientific and engineering contexts. Students will strengthen their understanding of core mathematical processes and learn how to apply algebraic tools and statistical models to a range of real-world examples. The module is designed to build both confidence and fluency in using mathematics as a problem-solving tool, laying the groundwork for more advanced study in science and engineering disciplines. By the end of the module, students will be able to select and apply appropriate mathematical and statistical methods to analyse and solve problems across science and engineering.

Advanced Foundation Mathematics and Statistics
This module extends students’ skills in applying advanced mathematical and statistical methods to scientific and engineering problems. It emphasises building, applying, and reviewing models, with a focus on real-world applications that require both further mathematics and statistical reasoning. Students will gain confidence in using advanced processes and techniques, equipping them for degree-level study in mathematics-based subjects. By the end of the module, students will be able to use advanced mathematics and statistics to model, analyse, and interpret complex problems in science and engineering.

Mathematical Software and Modelling
This module integrates mathematical concepts with computational tools and modelling techniques, developing both technical and creative problem-solving skills. Students will be introduced to widely used software tools—MATLAB for programming and numerical analysis, LaTeX for professional mathematical writing, and GeoGebra for graphing and visualisation. Alongside essential programming constructs in MATLAB, students will apply mathematics and coding to practical problems such as numerical methods for solving equations and computing integrals. The module also introduces mathematical modelling with applications across engineering, the physical sciences, and beyond, including differential equations for modelling real-world systems. By the end of the module, students will be able to use mathematical software confidently and apply modelling techniques to explain and predict scientific and engineering phenomena.

Please note that given the interval between the publication of these modules and enrolment, some of the information may change. You can find out more by reading our terms and conditions.

Connect with our students

Meet Adrian and Fei

Find out what it is really like to study at University of Warwick directly from Adrian and Fei, who studied the IFP Maths and Statistics programme in 2024 and are now completing the BSc MORSE degree at Warwick – get answers on campus life, accommodation, study support, wellbeing and more.

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