Course summary
Deep statistical thinking combined with expertise in health and computer science is becoming increasingly fundamental in tackling public health problems across the world. The MSc in Health Data Science will equip you with advanced technical skills which will allow you to develop a career as a data-scientist in the health and care sector. The MSc in Health Data Science, consists of an initial set of 4 core modules: “Statistical methods and models for health research”, “Programming for Health Data Science”, “Fundamentals for Health Data Science” and “Introduction to applied epidemiology”. These will allow you to develop and consolidate foundational skills in the three main areas of Health Data Science: epidemiology, statistics and computer science. On completion of these modules, you will then progress onto one of two pathways: “Global health” or “Health informatics”. Global Health The “Global Health” pathway further develops your skills in statistical science with a focus on spatio-temporal methods of analysis of infectious diseases and how these are used to inform health policy decisions. Health Informatics The modules of the “Health Informatics'' pathway will focus on developing your knowledge and statistical skills in the analysis of routinely collected health data and in the economic evaluation of health care. These two pathways will open you new career opportunities as a data-scientist of a multidisciplinary team within international and national public health organizations and health care providers. In addition to these taught modules, you will also undertake a 12-week project as part of a placement with one of our partners, which include the World Health Organization and the National Health Service. This will provide you with a fantastic opportunity to apply your skills and knowledge to real-world situations and challenges, allowing you to gain valuable professional experience as a part of a multidisciplinary team. The placement project represents a substantial, independent research project. Supervised by an academic specialist, you will develop your ability to formulate a project plan, gather and analyse data, interpret your results, and present findings in a professional environment. This research will be an opportunity to bring together everything you have learnt over the year, expand your problem-solving abilities and manage a significant project. This will be a great experience for you to draw upon in an interview and in your career.
Entry requirements
2:1 Hons degree (UK or equivalent) in a relevant discipline including: Statistics, Epidemiology, Computer Science, Economics, Biomedical Sciences, Physical Sciences, or similar. We may also consider non-standard applicants based upon experience and merit, please contact the Programme Director for information. We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously. We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Lancaster University
Bailrigg
Lancaster
LA1 4YW