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The MSc in Modelling for Global Health is a full-time one-year taught programme that provides interdisciplinary content on modelling, health evidence to inform the modelling, and policy processes to inform decisions. Week-long modules are delivered through a mix of interactive practical sessions and lectures in person at Oxford. Demand for a skilled workforce in this field is on the rise and there is great potential for mathematical and economic modelling to help guide policy for national health systems and international policymaking.

NDMRB

Introduction to the course

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
  • Range of techniques and tools for communication with key stakeholders from policy, implementation, commercial and research sectors
NDMRB
  • The course provides various mechanisms to support your development as independent learners, team players, problem solvers and effective communicators. As a result, you are expected to be able to:

    • Frame global health questions in modelling language
    • Understand and accommodate the cultural, social, political and fiscal context of these questions
    • Combine multiple techniques to answer such questions in the short, medium and long term
    • Aim for, predict and report the impact of your work
    • Be innovative and apply your skills to new settings or topics
    • Operate and thrive in an interdisciplinary environment

    Overall intended learning outcome

    On completion of this course, you will be trained and ready to frame and answer modelling questions to address global health challenges. You will be equipped to advance you career and seek leadership in strategic and technical roles within governmental, non-governmental, industrial or academic sectors both within your country or internationally.

    Interviews

    Given Government restrictions on meetings and the requirements of social distancing, all graduate admissions processes during the 2020-21 Academic Year will be conducted remotely/online.