MSc in Modelling for Global Health

The MSc in Modelling for Global Health is a full-time one-year programme which will train a new generation of modellers with cutting edge multi-disciplinary skills to support developing global health systems at sub-national, national and international levels.

The course will aim to develop your:

• repertoire of skills in mathematical and economic modelling, scientific programming, global health financing and related cutting-edge bioinformatics and analytics;
• breadth of knowledge of current challenges and issues in global health; and
• range of techniques and tools for communication with key stakeholders from policy, implementation, commercial and research sectors.

Supervision

The allocation of graduate supervision for this course is the responsibility of the Nuffield Department of Medicine and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Nuffield Department of Medicine.

Assessment

You will be assessed in the following ways:

For all optional modules

An open-ended question will be set for each, specific to the subject and skill(s) to be tested. You will electronically submit a computer program, piece of mathematical analysis, or app (each of which is the equivalent of 1,000 words), accompanied by a written report of 1,500 to 2,000 words (excluding bibliography, references, tables and figures), in R Markdown format.

Graduate destinations

Modelling skills, such as those provided from this course create multi-sector applicability including academia, government and commercial. Graduate Statistician/Mathematical Modeller/Postdoctoral Researcher/Analyst are all examples of early career roles as well as Research Engineer/Scientist and Research Fellow.

Based on your completed placement project and subject to agreement by your supervisor

An electronically submitted dissertation, in the form of a draft journal paper, of 3,500 to 4,000 words (excluding references, tables, figures, bibliography and appendices), plus supplementary files (equivalent of 2,000 words), in R Markdown format.