Overview
The ModularMaster in Data Science (Healthcare) is a collaboration between SUTD and SingHealth. This program addresses the specific data science and analytics needs within Singapore’s healthcare landscape, combining the expertise of SUTD’s Data Sciences and Education with the insights of SingHealth’s clinicians.
Our joint teaching faculty combines theory and practice, empowering healthcare professionals with the technical skills and practical knowledge to leverage data science in education, research, innovation, and clinical care transformation. By enrolling in this programme, you’ll gain a deep understanding of data science principles and their applications in healthcare settings.
Join us as we revolutionise the healthcare landscape through the power of data science. This unique collaboration opens new opportunities in the dynamic field of healthcare analytics. Shape the future of healthcare by unlocking the transformative potential of data science and analytics.
Who should attend?
Learners can choose individual modules that are most relevant to their learning goals. By completing three modules, learners can earn a graduate certification within the first year. Furthermore, by completing an additional three modules in the second year, learners can earn a Modularmaster certification by the end of the programme.
How does it work?
Learners can choose individual modules that are most relevant to their learning goals. By completing three modules, learners can earn a graduate certification within the first year. Furthermore, by completing an additional three modules in the second year, learners can earn a Modularmaster certification by the end of the programme.
Bridging to Programming
The ModularMaster in Data Science (Healthcare) is currently offered under the programming track. However, with no prior experience in programming, learners may find it challenging to go directly for the Programming Track.
Learners can take on the following bridging modules to gain the confidence and proficiency to prepare them for the Programming Track.
If you are keen on basic overview of data science, you may register for the introduction to Data Science. This course covers the basics of data acquisition, data preparation, data analysis, data science modeling, and data visualisation. Participants can expect to learn the basic knowledge of data science and how data science can be applied in healthcare environment.
Register here.