Mathematics for Machine Learning: Multivariate Calculus

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: Multivariate Calculus program is a non-degree course offered by Imperial College London, taught in English. It is an online course that helps learners build a strong foundation in multivariate calculus required for machine learning techniques.

This course covers topics such as the gradient of a function, vectors, and approximations to functions. You will develop skills in calculus, problem-solving, and critical thinking through interactive games and hands-on exercises.

After completing this course, you can pursue careers as a Machine Learning Engineer, Data Scientist, Business Analyst, or Artificial Intelligence Developer. You can work in industries such as finance, healthcare, or technology, and companies like Google, Microsoft, or IBM.