MSc Health Analytics and Technologies

Healthcare providers seek to streamline healthcare processes and maximise patient and user experience. Governments need to make life-saving public health predictions. Digital technologies are accelerating discoveries by medical research organisations. All these organisations need highly skilled professionals to process and interrogate healthcare data to identify trends, patterns, and root causes. By studying the University of Bolton's MSc Health Analytics and Technologies degree you can develop essential knowledge and understanding of data analysis methods and the associated technological principles and practices while experiencing life at our supportive, student-focused, multicultural campus.; A distinctive feature of this programme is the development of essential computer programming and data analytics skills; no prior expertise is assumed. We offer the knowledge and skills needed to interrogate and make sense of data, unlock vital insights and communicate your discoveries, so you can help turn healthcare data into actionable insights that support good decision-making in the health sector. Our expert and dedicated team will cover essential computing, data analytics, business, marketing, and life skills, including leadership, advanced analysis, creativity and problem-solving techniques. We'll support you as you learn to provide insight and analysis through clear visual, written and verbal communication.; Within each module, we'll explore relevant issues, strategies and practices, using live case studies, guest speakers from industry, and the latest research evidence. You'll have a choice of option modules covering specialist topics, and you'll agree on a capstone project with your supervisors that is completely tailored to your experience and specialism.; We focus on helping you develop industry-relevant knowledge and skills so that you are well-prepared for a career in healthcare data analytics and technologies.

You should have at least a lower second class (2.2) honours degree (or equivalent) in any subject or five years of relevant work experience. You do not need prior experience in computer programming or data analytics.