MSc - Artificial Intelligence

The MSc Artificial Intelligence at Anglia Ruskin University (ARU) trains students in machine learning, neural computing, data modelling and semantic data technologies, preparing them to build and deploy intelligent data-driven systems. It suits students with a background in computing, maths, engineering or data science who want to deepen AI skills for industry or research-oriented roles. 

Curriculum Structure:
In the first phase, students study Advanced Machine Learning, Neural Computing and Deep Learning, and Semantic Data Technologies, learning core AI methods, neural-network design, deep-learning techniques and data representation methods to handle structured and unstructured datasets.
Next, through Applications of Machine Learning, they apply ML and deep-learning to real-world tasks such as image recognition, natural language processing, and predictive modelling — gaining hands-on experience with datasets and algorithm evaluation. 
The programme then culminates in a Major Project, where each student conducts an independent research or development project — designing, implementing and evaluating an AI system or model, integrating skills learned across modules. 

Focus areas: “Machine Learning, Deep Learning, Neural Computing, Semantic Data Technologies, Applied AI, Data-Driven Systems”

Learning outcomes: “Build and deploy ML/DL models; process and represent complex data; apply AI to real-world problems (vision, language, prediction); design and complete an independent AI project; develop skills for data-driven system development.”

Professional alignment (accreditation): The MSc is designed to meet demand for AI professionals capable of machine learning, data analysis and intelligent systems development — aligning with roles in software engineering, data science, research, tech industry and analytics sectors. 

Reputation (employability rankings): ARU enjoys a recognized position among UK universities for its computing courses; its location in “Silicon Fen” (a major tech hub) and industry-connected curriculum support strong graduate employability in AI and data-driven roles.