Course summary

The MSc in Health Data Science is a programme designed to equip future health data analysts with the skills they need to interpret, analyse, assess, and evaluate health interventions, services, programmes, and policies. This is a joint programme between the LSE’s Department of Health Policy and the Department of Statistics. As the health sector, already a major employment sector, continues to grow and as larger, more complex data sets become available, there is an increasing need for professionals with strong quantitative skills to evaluate health care interventions and outcomes, as well as health system performance. The MSc in Health Data Science is tailored to train those seeking to develop the statistical and computational skills necessary to become data science specialists in the health care, biopharmaceutical and medical technology sectors. You will graduate from LSE with a thorough grounding in the theory, technical and practical skills of data science used to evaluate health and health care. Students will be taught to use a range of statistical methods relevant to the context of health, including machine learning, data mining, artificial intelligence, and deep learning techniques. The specialised courses in the programme will also enable students to apply advanced methods of data science and statistics to investigate real world health policy questions. You will be taught by a world-renowned faculty who are experts in health policy, health economics, and statistics. Your fellow students will come from across the globe and will have diverse professional backgrounds, ranging from those who already work in medicine or policymaking, as well as those that have just finished their undergraduate studies. The level of experience of students will be varied, making for a dynamic and stimulating learning environment.