MSc Digital Health & Artificial Intelligence

• Research Methods & Professional Issues: This unit overviews research methods to address scientific research questions. It covers aspects of research design implementation and how they apply to solve digital health and artificial intelligence-based challenges in a quantitative, qualitative, or mixed fashion.

• Foundations of Health Information Systems: This unit aims to help you learn the fundamentals of health information systems while introducing key concepts, principles, processes, and related issues and carrying out relevant activities in the analysis and design of health information systems. Further, the unit will cover health data generation, compilation, analysis, synthesis, communication, and analytics. You will develop a good understanding of the legal and ethical framework surrounding the professional implementation of health information systems and the use of electronic health data.

• Artificial Intelligence: This unit aims to introduce you to the first principles and techniques employed in the greater field and sub-fields of Artificial Intelligence (AI), together with the skills and knowledge required to use AI techniques for solving real-world and synthetic problems.

  You will approach AI from a Computer Science perspective, focusing on the challenges faced within the field, nature-inspired algorithms, and their applications to complex real-world problems.

• Accessibility & Assistive Technology: This unit aims to introduce you to understanding diverse user needs while focusing on the challenges caused by temporary, situational, or lifelong disabilities. It will specifically lead you to acquire the skills and techniques to conduct research concerning people with disabilities and inform the design of assistive technology which overcomes their specific tasks and challenges.

• Individual Masters Project: You will develop a good understanding of the inherent characteristics and implications of solving a complex, real-world digital health and AI-oriented problem. This will be achieved through substantial, independently conducted research and development work.

Option units (choose one semester 1)

• Neuronal Analysis: This unit focuses on advanced models and data analysis methods for understanding human brain function at neuronal levels. The mathematical modeling is achieved using highly performing parallel data processors which imitate biological neuronal network functions.

• Blockchain & Digital Futures: The objective of this unit is to develop your skills and knowledge about Blockchain technology and its usage. This includes defining Blockchain technology, its business aspect, encountered issues, objectives, and challenges. These also cover Blockchain horizontal and vertical scaling, along with critical cryptography basics, which are required for understanding Blockchain technology concepts, cryptocurrencies, and their respective networks, issues, and challenges. 

Option units (choose one semester 2)

• Persuasive Technology & Behaviour Change: You will cover mainstream psychological theories of persuasion, influence, decision-making, and behavior change besides their application in various domains, including health, business, and e-learning. We will also discuss persuasion's risks and ethical considerations and the essentials for informed decision-making.

• Smart Systems: This unit introduces you to various facets of intelligent systems technology and how they could apply to different environments. A selected set of innovative applications will be investigated and discussed to provide you with practical insight into intelligent systems, their deployment, and applications.

• Computer Vision: This unit focuses on several computer vision techniques, ranging from traditional approaches, which have been established through research over many decades, to the most recent state-of-the-art development, using appropriate tools. The unit entails a strong empirical element where Computer Vision models are implemented, performance evaluated, and validated.