Applied Machine Learning (MSc) focuses on building machine learning systems that work in the real world—especially when data comes from sensors and hardware.Across lectures, labs and group projects, you’ll design and implement intelligent models and prototype devices that make decisions from signal inputs.
Applied Machine Learning (MSc) at Imperial College London emphasizes the development of machine learning systems that function effectively in real-world scenarios, particularly when data is sourced from sensors and hardware. This program integrates theoretical knowledge with practical application, enabling students to design and implement intelligent models and prototype devices capable of making decisions based on signal inputs.
The curriculum is structured to provide a solid foundation in machine learning while incorporating applied modules and hands-on laboratory experiences. Students will engage in a hardware-focused group project, where they will collaborate to create a novel device or prototype that utilizes sensor inputs for intelligent decision-making.
Applied group project / prototype: In small teams, students will research, design, and construct innovative hardware devices or prototypes that support intelligent decision-making based on sensor inputs.
For a comprehensive and current list of modules and optional components, please refer to the programme website.
Documents and deadlines: For the latest information regarding required application documents and deadlines, please consult the programme website.
Graduates of the Applied Machine Learning MSc program will be well-prepared for careers in various sectors, leveraging their expertise in machine learning, artificial intelligence, robotics, and signal processing. The skills acquired throughout the program will enable them to pursue roles in academia, industry, and research, contributing to advancements in technology and innovation.
Work Permits: Upon completing the degree, students may qualify for a post-study work visa, subject to meeting immigration requirements. Eligibility typically hinges on the qualification level and course completion status, with specific conditions regarding application timeframes and evidence of graduation. It is advisable to check the official government or immigration website for the latest guidance relevant to your country of study.
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