Global Public Health Nutrition with Data Science University of Westminster

Overview

offers a profound opportunity to investigate issues related to global public health in all three economies of the world (high, middle and low income countries), and to study components of different healthcare systems around the world and health inequalities at national and international level. You’ll appraise, analyse and critically evaluate the underlying and direct causes of diseases in both developed and developing countries, as well as develop expertise on health promotion, health economics, epidemiology, disease control, prevention, detection and management approaches. Overall global health security and pandemic preparedness/response are essential components of this course.

Health data science draws on knowledge of health, life sciences, mathematics, statistics, epidemiology, and computational science to support better planning of bespoke quality health services and cost-effective delivery of treatments. Studying the health data science module alongside a range of global public health topics will equip you with the appropriate skills to understand and capture the burden of disease and determinants of health in developing and developed countries from a big data analysis perspective.

On completion of this course, you’ll be able to inform the implementation of health care decision making and help improve the health of populations globally and nationally.

Career opportunities:

The skills and knowledge gained from this course will equip you well for various roles within the health sector, government departments, UN health agencies, statutory bodies, health institutions and higher education. You’ll also develop transferable skills valued by employers, including leadership, data analysis and interpretation, strategising and planning, decision making in complex situations, and independent learning to enhance continuing professional development (CPD).

This course will prepare you for roles in a variety of areas, including:

• Civil servant
• Health improvement lead
• Researcher
• Data analyst
• Health policy advisor
• Health program manager
• Health promotion official
• Community health official