Data Science in Epidemiology [ESP80]
Monday to Friday (5 afternoons)
Dr. Gennady Roshchupkin, Dr. Daniel Bos and Prof. Kamran Ikram,
Erasmus MC, Rotterdam NL
Basic understanding of biostatistics, and epidemiology (as covered in ESP03 and ESP01).
Basic knowledge of programming (experience with R, python or any other scripting language).
Detailed information about this course:
Faculty: Dr. Gennady Roshchupkin, PhD, Dr. Daniel Bos, MD, PhD and Prof. Kamran Ikram, MD PhD
Data science is a multi-disciplinary field where – besides domain-specific expertise – several fundamental scientific disciplines converge including mathematics, statistics, computer science, engineering and epidemiology. The aim of this new field is to combine scientific methods and algorithms to extract knowledge and insights from structured and unstructured data. Recent advances in technology allow for the collection of enormous amounts of health-related data. Consequently, skills pertaining to handle and manipulate these data and to extract relevant information have become crucial to perform high quality research. Unfortunately, many (clinical) researchers without a technical background frequently experience troubles obtaining or developing these skills. The aim of this course is to bridge this gap in knowledge by providing an interactive and hands-on programme about data science and how it can be applied in epidemiological research.
- Understand that epidemiology is at the core of data science in healthcare;
- Understand the basic of Machine Learning methods and neural networks algorithms;
- Understand the biases and fairness related to handling and analyzing health-related data.
Clinical researchers, clinical epidemiologists, computer scientists, those in health technology assessment or value-based healthcare.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.