MSc Health Sciences (Post graduate)
Institute and place teaching programme:
Erasmus University
Grade to be achieved:
Master
Recognised training programme epidemiology:
Yes
Teaching programme for epidemiologist A:
Yes
Teaching programme for epidemiologist B:
Possible
Duration teaching programme (number of EC):
70
Intensity teaching programme:
Fulltime
Form of teaching programme:
On campus
Language teaching programme:
English
Possibility to follow individual courses by externals:
Yes
Average number of starters per year:
30-40
Entry level:
Master
Entry requirements:
You must meet each of the following criteria:
- You have a master's degree in or related to clinical medicine, public health, health sciences, clinical technology, nutrition, (medical) biology, pharmacy, exercise science, psychology, health Economics, or a broad master's degree with courses in these disciplines.
- You have experience conducting research and are interested in conducting quantitative research.
- You are already (co-)author of some scientific publications.
- You have a good command of the English language, both oral and written.
Number of EC for core courses:
30
Subjects of core courses:
Study Design, Biostatistics
Clinical Epidemiology
Public Health Epidemiology
Selected Topics in Epidemiology
Lifelong Learning Skills
Number of EC elective courses:
10
Subjects elective courses:
Clinical Translation of Epidemiology
Practice of Epidemiologic Analysis.
Data Science in Epidemiology
Causal Inference, Causal Mediation Analysis.
Psychiatric Epidemiology
Cardiovascular Epidemiology
Gender and Health
Pharmaco-epidemiology and Drug Safety.
Advanced Clinical Trials
Advanced Analysis of Prognosis Studies
Advances in Clinical Epidemiology
Logistic Regression
Competing Risks and Multi-state Models
Repeated Measurements
Missing Values in Clinical Research.
Bayesian Methods in Clinical Research
Bayesian Statistics
Joint Models for Longitudinal and Survival Data.
Fundamentals of Medical Decision Making
Topics in Meta-analysis
Topics in Medical Decision Making
Using R for Decision Modeling
Simulation, and Health Technology Assessment.
Advanced Decision Modeling
Advances in Genome-Wide Association Studies
Mendelian Randomization
Introduction to the Analysis of Next-Generation Sequencing Data
Introduction to the Analysis of Microbiomics & Metabolomics.
Introduction to the Analysis of Epigenomics & Transciptomics
Mirobiome Data analysis in Population-based studies.
Linux for Scientists, Social Epidemiology
Planning and Evaluation of Screening
Primary and Secondary Prevention Research.
Introduction to Global Public Health
Public Health Across the Life Course
Sustainable Public Health
Quality of Life Measurement
Psychology in Medicine
The Placebo Effect
Psychopharmacology
Preventing Failed Interventions in Behavioral Research.
Qualitative Research Methods in Medicine
Implementation Science
Operations Management
History of Epidemiologic Ideas
Duration practical internship / thesis (EC):
30
Website teaching programme:
Characteristics teaching programme:
Possibility to choose a major (Epidemiology, Clinical Epidemiology, Genomic & Molecular Epidemiology, Public Health Epidemiology, Biostatistics, Medical Psychology). International teachers and students. Very wide range of free choice education Lifelong learning skills courses focused on personal and professional development, including Scientific Writing, Scientific Integrity, Intercultural Communication, Presentation Skills, Science Communication, Negotiation Skills, Networking and Influencing Skills, The Body-Mind Connection and peer support groups. The research project leads to a master thesis in the form of a draft scientific publication.