Bachelor of Science (Hons) Data Science and Artificial Intelligence

This module provides students with an advanced understanding of how artificial intelligence, machine learning, and data analytics can be applied to support evidence-based decision-making in organisational, business, and technological contexts. Students will examine techniques for collecting, preparing, analysing, and interpreting data to generate actionable insights. The curriculum explores predictive modelling, decision intelligence frameworks, data visualisation, and AI-supported decision systems, with emphasis on practical application, strategic decision support, and clear communication of insights to technical and non-technical stakeholders.

This module introduces students to the principles, design, and application of intelligent systems and autonomous agents. Students will examine how intelligent agents perceive environments, make decisions, learn from data, and act autonomously or semi-autonomously. Topics include agent architectures, search and optimisation, reinforcement learning concepts, multi-agent systems, decision-making under uncertainty, robotics applications, and autonomous digital systems. The module combines theoretical understanding with practical design and evaluation.

This module critically examines the governance, risk management, ethical, and regulatory considerations associated with the development and deployment of artificial intelligence systems. Students will explore bias, fairness, accountability, transparency, explainability, data protection, human oversight, model risk, and responsible innovation. The curriculum introduces governance frameworks and risk management approaches that support safe, trustworthy and compliant AI adoption.

This module explores the design, evaluation, and implementation of human-centered computing systems and intelligent interfaces. Students will examine principles of human-computer interaction, user experience design, accessibility, usability, interaction design, and the integration of AI into user-facing systems. The curriculum focuses on intelligent interfaces such as chatbots, recommendation systems, adaptive platforms and conversational agents, with attention to usability, trust, transparency and ethical responsibility.

This capstone module provides students with the opportunity to undertake a substantial independent project that integrates knowledge and skills developed across the Bachelor of Science programme. Students will identify a relevant real-world, workplace, industry-informed or professionally situated problem; engage with relevant stakeholder, user, employer, practitioner or industry evidence; conduct an appropriate academic and professional literature or contextual review; design and implement a solution or investigation; and evaluate its effectiveness. Depending on the pathway, the project may focus on cyber security, computing, artificial intelligence, data science, intelligent systems, secure systems or human-centred technology. The module emphasises independent learning, technical depth, critical thinking, innovation, responsible practice, industry relevance and professional communication.