Mathematics for Machine Learning

Imperial College London is a world-leading science and engineering university located in the heart of London. Founded in 1907, it is renowned for excellence in research, innovation and teaching across STEM fields. With over 20,000 students, including more than 8,300 international students, Imperial offers a global, diverse community and strong industry connections that enhance learning and employability.

Imperial’s academic portfolio spans research-led undergraduate and postgraduate programs across science, engineering, medicine and business, with some 102 programs available to students. The college’s reputation is reflected in exceptionally high ratings for teaching and classes, modern facilities and strong student satisfaction. Research centres and partnerships with industry provide practical experience, internships and access to cutting-edge laboratories that prepare graduates for leadership roles.

Life at Imperial combines intense academic focus with the cultural and professional opportunities of London. Campus facilities, accommodation options and student services support wellbeing and career development, while extracurricular clubs and societies foster community and leadership. For international students seeking rigorous STEM training, Imperial delivers world-class instruction, extensive research opportunities and a powerful alumni network that supports global careers.

The Mathematics for Machine Learning program is for students who need to refresh their math skills for higher-level courses in Machine Learning and Data Science. This non-degree program is offered in English and takes place over several weeks. Its main advantage is helping students build an intuitive understanding of math concepts.

The curriculum covers Linear Algebra, Multivariate Calculus, and Dimensionality Reduction with Principal Component Analysis. Students learn to work with vectors and matrices, optimize functions, and compress high-dimensional data. They also develop skills in Python and numpy.

After completing this program, students can pursue careers as Data Scientists, Machine Learning Engineers, Business Intelligence Developers, or Quantitative Analysts. They can work in industries like finance, healthcare, or technology, and for employers like research institutions, consulting firms, or tech companies.