The advent of large collection of data and ensuing development in data analysis techniques has made collaboration between data scientists and content experts necessary for cutting-edge research. Furthermore, there is a need for trainees to be exposed to both aspects of such research, namely for data science trainees to learn about real life practical projects and for content expert trainees to gain experience in data analysis and management.
Enter the MacDATA Graduate Fellowship!
The aims of the program
1) To provide trainees with an opportunity to acquire practical and theoretical skills in data science.
2) To facilitate exchange of expertise and knowledge in data science across faculties.