Control and Optimisation
The Master of Science in Control and Optimisation at Imperial College London is a one-year, full-time program focused on advanced control systems and optimization techniques used in engineering, operations research, and industrial applications. Students will study topics such as system dynamics, control theory, optimization algorithms, and the application of these methods to real-world problems in fields like manufacturing, energy, and transportation.
Graduates will be prepared for careers in control engineering, optimization, and systems management, where they can apply their knowledge to optimize processes, improve system efficiency, and design automated systems. The program’s emphasis on both theoretical and applied control systems ensures that students are well-equipped to work on complex engineering problems and contribute to the development of intelligent, optimized systems in a variety of industries.
Key information
Key Facts
Program Title: Master of Science in Control and Optimisation
Degree Type: Master of Science (MSc)
Duration: 1 year
Mode of Study: Full-time, On Campus
Application Deadline: 30th June 2026
Location: Imperial College London, United Kingdom
Field of Study: Operations Research
Language of Instruction: English
Program Structure
Semester 1 – Core Control and Optimisation
- Mathematical Foundations for Control
- Optimization Techniques and Algorithms
- Systems Modeling and Simulation
- Research Methods in Operations Research
Semester 2 – Advanced Applications and Research Project
- Advanced Control Systems
- Stochastic and Dynamic Optimization
- Independent Research Project
- Elective Modules in Network Optimization, Industrial Systems, or Machine Learning for Operations
Career Opportunities
Graduates from this program are prepared for careers in operations research, systems optimization, and industrial analytics. They can work in technology companies, manufacturing industries, logistics firms, consulting organizations, and research institutes, designing and implementing optimal solutions for complex systems. The program equips students with analytical, computational, and problem-solving skills, enabling them to model dynamic systems, optimize processes, and support strategic decision-making. Graduates can also pursue roles in supply chain optimization, operations consultancy, algorithm development, or academic research, and they are well-prepared for doctoral studies in operations research, applied mathematics, or industrial engineering.
Why Choose This Program
This program provides a research-intensive, one-year pathway into control and optimisation, combining theoretical foundations with practical problem-solving experience. It emphasizes optimization techniques, control theory, and systems modeling, allowing students to develop expertise in designing efficient, reliable, and data-driven solutions for complex operational challenges. The independent research project provides hands-on experience in applying methods to real-world problems, helping students build a professional portfolio. Graduates leave the program with the skills and knowledge to make an immediate impact in industrial optimization, systems engineering, and analytics-driven decision-making, or to pursue advanced doctoral studies in operations research and applied mathematics.
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
