Master in M1 Artificial Intelligence

Students who thrive on tackling real-world problems and are eager to develop expertise in machine learning, deep learning, NLP, and reinforcement learning will find this programme the perfect fit. The programme offers a robust theoretical foundation alongside practical skills, with modules like 'Machine Learning Basics 1', 'Deep Learning', and 'Applied Statistics'.

The programme emphasises ethical considerations and bias reduction, preparing graduates for careers in research, industry, and entrepreneurship. Students engage in projects like the 'Creation of AI challenge' and gain hands-on experience with tools such as scikit-learn, TensorFlow, and PyTorch.

Graduates will be equipped to design and deploy AI models in various domains, analyse complex datasets, and apply ethical principles in real-world contexts. The curriculum also includes modules on the history and societal impact of AI, fostering a critical perspective on the field's evolution.