Machine Learning and Big Data in the Physical Sciences
The Master of Research in Machine Learning and Big Data in the Physical Sciences is a one-year, full-time program at Imperial College London that combines machine learning with big data techniques to solve problems in the physical sciences. Students will learn how to analyze large, complex datasets from fields such as physics, engineering, and environmental science, applying machine learning algorithms to extract meaningful insights and improve scientific models.
Graduates of this program will be well-equipped for careers in scientific research, data science, and technology development, where they can apply machine learning techniques to large-scale data in areas such as physics, climate science, and materials engineering. The program’s emphasis on both machine learning and the physical sciences ensures that students are prepared to lead the next generation of data-driven scientific discoveries.
Key information
Key Facts
Program Title: Master of Research in Machine Learning and Big Data in the Physical Sciences
Degree Type: Master of Research (MRes)
Duration: 1 year
Mode of Study: Full-time, On Campus
Application Deadline: 30th June 2026
Location: Imperial College London, United Kingdom
Field of Study: Physics
Language of Instruction: English
Program Structure
Semester 1 – Foundations of Machine Learning and Big Data
- Introduction to Machine Learning in the Physical Sciences
- Data Science and Statistical Methods
- Computational Modeling in Physics
- Big Data Analysis and Visualization
Semester 2 – Advanced Topics & Research Project
- Advanced Machine Learning Algorithms
- Data-Driven Simulations and Modeling
- Quantum Computing and Big Data
- Research Project in Machine Learning and Physical Sciences
Career Opportunities
Graduates of the MSc in Machine Learning and Big Data in the Physical Sciences can pursue careers in data science, computational physics, and research. Potential roles include machine learning engineer, data scientist, computational physicist, and research scientist. With expertise in big data and machine learning techniques applied to the physical sciences, graduates can work in industries such as technology, finance, energy, and academia. Opportunities also exist in research institutions and high-tech companies, where they can apply data-driven models and machine learning algorithms to solve complex problems in areas such as material science, astrophysics, and energy systems.
Why Choose This Program
The MSc in Machine Learning and Big Data in the Physical Sciences at Imperial College London offers a unique combination of cutting-edge machine learning and advanced data science applied to physical sciences. This program prepares students to use big data techniques to tackle some of the most pressing challenges in physics and material science. With access to state-of-the-art computing facilities and world-renowned faculty, students gain the expertise to apply machine learning algorithms to a wide range of scientific applications and research problems, making them well-prepared for careers at the forefront of data-driven physical sciences.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)20 7589 5111
Email: admissions@imperial.ac.uk
Address: Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
