Imperial College London

Overview

The MSc in Applied Mathematics at Imperial College London offers an in-depth exploration of mathematical concepts and their applications. The program is designed to provide students with a solid foundation in essential mathematical methods while allowing for specialization in advanced topics. With a focus on small class sizes, students benefit from personalized learning experiences and the ability to tailor their studies according to their interests and background.

The curriculum includes a dedicated stream in Scientific Computing & Machine Learning (SCML), aimed at those looking to integrate computational mathematics with data-driven modeling techniques.

What you'll study

• Qualification: MSc Applied Mathematics
• Duration: Typically 12 months (full-time)
• Credits: 180 ECTS (or equivalent)
• Delivery: On-campus
• Programme stream: Scientific Computing & Machine Learning (SCML) available
• Teaching format: Small classes with a selection of modules
• Language of instruction: English

Core and option modules

• Computational Dynamical Systems
• Computational Linear Algebra
• Computational Partial Differential Equations
• Finite Elements: Numerical Analysis and Implementation

Specialist pathway

Students have the opportunity to align their module selections with the SCML stream, depending on availability and academic progress.

Assessment

Evaluation methods generally include a mix of coursework and exams, tailored to the specific requirements of each module.

Curriculum details

For a comprehensive list of modules, timetables, and any dissertation or capstone project requirements, please refer to the program's official website.

Entry requirements

• A minimum of a 2:1 degree in mathematics, applied mathematics, engineering, or physics.
• A range of international qualifications are accepted.
• The stated academic requirement is applicable to applicants holding (or pursuing) a UK qualification.

Career prospects

Graduates of the MSc in Applied Mathematics are well-positioned for a variety of career paths in both academia and industry. The analytical skills and technical expertise developed throughout the program open doors to roles in finance, technology, research, data analysis, and engineering. Additionally, the opportunity to gain post-study work rights allows graduates to gain valuable experience in the UK job market, enhancing their employability on a global scale.