MSc Mathematical Modelling and Self-Learning Systems
Course Overview
This course provides advanced training in the rapidly emerging field of self-learning systems, which combine differential equations with dynamic machine learning to create adaptive models for complex real-world problems. Graduates will develop in-demand skills at the intersection of applied mathematics and computer science, learning to build and deploy software for systems that evolve with their environment. The curriculum balances strong theoretical foundations with hands-on application using industry-standard tools and languages.
Key Program Highlights
- Master the fusion of differential equations and machine learning to build adaptive, self-learning models
- Gain hands-on experience with essential industry tools including Python, R, TensorFlow, and C#
- Develop expertise in mathematical modelling, scientific computing, and complex network analysis
- Learn to effectively communicate complex technical concepts to a non-technical audience
- Apply new skills to solve real-world problems through practical software development
Course Overview
This course provides advanced training in the rapidly emerging field of self-learning systems, which combine differential equations with dynamic machine learning to create adaptive models for complex real-world problems. Graduates will develop in-demand skills at the intersection of applied mathematics and computer science, learning to build and deploy software for systems that evolve with their environment. The curriculum balances strong theoretical foundations with hands-on application using industry-standard tools and languages.
Key Program Highlights
- Master the fusion of differential equations and machine learning to build adaptive, self-learning models
- Gain hands-on experience with essential industry tools including Python, R, TensorFlow, and C#
- Develop expertise in mathematical modelling, scientific computing, and complex network analysis
- Learn to effectively communicate complex technical concepts to a non-technical audience
- Apply new skills to solve real-world problems through practical software development
