MSc Computer Science with Artificial Intelligence

You will develop high-level competence in modern software engineering. You will design and implement complex software solutions using advanced programming paradigms. You will learn to build the sophisticated coding and architectural skills required to develop, test, and maintain large-scale, production-ready systems.

You will learn how to store, process, and manage massive data sets securely and sustainably in modern cloud environments. You will design relational, NoSQL and distributed data models for large-scale applications. Deploy and manage scalable systems using major cloud platforms. You will also implement and benchmark cloud-based services.

You will learn to apply classical AI methods such as search, reasoning and knowledge representation. Critically evaluate the strengths and limitations of symbolic AI approaches. Analyse ethical, legal, and societal implications of AI systems and develop small-scale AI applications demonstrating intelligent agent behaviour.

You will develop advanced expertise in statistical learning and state-of-the-art neural-network models for real-world prediction and analysis. You will implement supervised, unsupervised and reinforcement learning, perform feature engineering and model evaluation, and work with deep architecture such as CNNs, RNNs and transformers. Build and evaluate deep neural networks using modern frameworks.

You will gain project planning, risk management and professional communication skills. Analyse frontier topics such as quantum computing, blockchain, edge/IoT, generative AI and sustainable computing. You will also critically evaluate the commercial and societal impact of emerging technologies and produce professional documentation suitable for business or policy contexts.

You will design, build and critically evaluate a substantial computing or AI solution in a professional or research context. Manage a project from proposal to completion, demonstrating autonomy and initiative. Produce a high-quality technical artefact or system and critically evaluate its performance.