COURSE CURRICULUM

The taught stage of the MSc Artificial Intelligence programme provides advanced knowledge and practical expertise across the key areas of modern AI through a combination of core and optional modules. AI: Vision and Reality introduces the fundamental principles, capabilities, limitations, and real-world applications of artificial intelligence, helping students understand both the opportunities and challenges associated with intelligent technologies. Computational Intelligence explores advanced AI techniques inspired by natural and biological systems, including approaches used for optimisation, pattern recognition, decision-making, and complex problem-solving. Robotics and Autonomous Systems focuses on the design, development, and operation of intelligent robotic systems capable of perceiving, learning from, and interacting with their environments while making autonomous decisions. Applied Machine Learning develops practical skills in creating, training, and evaluating machine learning models, enabling students to apply data-driven techniques to solve real-world problems across a variety of domains. Neural Networks and Deep Learning examines advanced artificial intelligence methods based on neural network architectures, covering deep learning techniques used in applications such as computer vision, speech recognition, natural language processing, and predictive analytics. The Aston Global Advantage module supports professional and personal development by enhancing leadership, communication, teamwork, and employability skills that are highly valued in the technology sector. Students can further tailor their studies by selecting one module from each of two optional groups. The first group offers AI in Biomedical Imaging, which explores the use of artificial intelligence for medical image analysis and healthcare applications, or Natural Language Processing, which focuses on enabling computers to understand, interpret, and generate human language using advanced AI techniques. The second group offers Data Visualisation, which develops skills in presenting complex data effectively through visual and interactive methods, or Multi-Agent Systems and Strategic Decision Making, which examines the behaviour and coordination of intelligent autonomous agents operating within complex environments. Together, these modules provide a strong combination of theoretical foundations, practical technical expertise, and professional skills, preparing graduates for careers in artificial intelligence, machine learning, robotics, autonomous systems, data science, intelligent software development, research and development, technology consultancy, and other advanced computing fields. The programme also provides an excellent foundation for doctoral research and further specialisation in AI-related disciplines.