Advances in Artificial Intelligence (AI), ubiquitous sensing and wearable technologies have rapidly led to their adoption in digital healthcare. Hospitals and healthcare industries are using AI to provide effective and smart solutions for patients care. Learn about recent advances in the fields of data analytics, big data tools and technologies, machine intelligence while concretely experimenting on machine knowledge extraction and decision-support .Use a broad range of data science tools and technologies, from those which are established (MATLAB, R and Weka), to the new favourites which prepare you for mainstream data science jobs (Python, Jupyter notebook, Apache Spark and libraries such as Keras, TensorFlow, and PyTorch) .Graduate with important skills in strategic thinking for scientific research implemInnovative AI-based solutions enable more performing diseases diagnoses, personalised treatment plans, together with advanced assistive technologies, for sustainable patients health monitoring and tailored response to their care .Graduate as an AI specialist in the area of digital health youll understand the challenges in designing and deploying AI-driven digital health products in an industry where regulation, responsibility and legal implications are of paramount importance .Capture the requirements for adopting AI solutions to digital healthcare, with assurances of their ethical, safe and effective deployments .Develop a strong technical understanding of digital healthcare technologies combined with AI - essential in advancing 21st-century digital healthcare in the years to come .Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, smart systems, computer vision and Blockchain. entation and communication .Weve established close relationships with companies, research and government agencies that are interested in recruiting skilled graduates in data science and artificial intelligence .Take part in organised codejams or hackathons, visit organisations and work on practical data science and artificial problems. This will support you in establishing an internship or placement .Tailor your learning towards the areas that interest you, with option units covering topics such as neuronal analysis, smart systems, computer vision and Blockchain.
