The program aims to be successful in:
- Preparing graduates with a deep understanding of probability, statistics, linear algebra, and other mathematical concepts relevant to data science.
- Preparing graduates capable of developing and applying machine learning algorithms and models to solve complex problems, including supervised and unsupervised learning, deep learning, and natural language processing.
- Preparing graduates that effectively communicate data-derived insights and conclusions using data visualisation tools and presentations.
- Preparing efficient graduates with python programming skills and working with structured and unstructured data.
