Master of Public Health (Online) at Imperial College London

GBP 15,500

Imperial College London, GBR

Type: Masters Duration: 2.0 years

Explore the Master of Public Health (Online) program at Imperial College London. This program is offered in GBR and provides an excellent learning opportunity in Masters studies.

The Master of Public Health (Online) at Imperial College London is a part-time program designed to equip students with the essential knowledge and skills needed to address global public health challenges. Over a duration of two years, students will engage in a comprehensive curriculum that covers core areas such as epidemiology, health systems development, and statistical methods for public health. The program emphasizes the development of quantitative analytical skills and the ability to interpret epidemiological data, preparing graduates for careers in public health practice, management, or research. Students will also undertake a research portfolio, allowing them to apply their learning to real-world public health issues. The course is delivered entirely online, providing flexibility for working professionals, and includes a mix of live and recorded sessions to enhance the learning experience.

University
Imperial College London
University Location
GBR (Online)
Program Duration
2.0 years
Ranking
#2
Part-time allowed
Yes

Required Courses
  • Epidemiology in Public Health
  • Foundations of Public Health Practice
  • Statistics for Public Health
  • Health Protection
  • Health Systems Development
  • Population Health Improvement
  • Research Portfolio 1: The Research Question
  • Research Portfolio 2: Research Methods
  • Research Portfolio 3: Core Research Skills
  • Research Portfolio 4: Research in Practice
Elective Courses
  • Advanced Statistics and Introduction to Data Science
  • Digital Health
  • Global Diseases Masterclass
  • Global Health Challenges & Governance
  • Global Health Innovations
  • Health Economics
  • Infectious Disease Modelling
  • Life Course in Public Health
  • Participatory Approaches in Public Health
  • Quality Improvement in Healthcare
  • Machine Learning