The MIT (Stream C) - Big data Science focuses on the provision of an educational opportunity on a post-graduate level for researchers and practitioners in Big Data Science cognizan...

The MIT (Stream C) - Big data Science focuses on the provision of an educational opportunity on a post-graduate level for researchers and practitioners in Big Data Science cognizant of the needs on the South African landscape. The definition of Big Data Science at the University of Pretoria includes, among other aspects: Big Data, Data Management, Machine Learning and Predictive modelling. Graduate professionals from industry can leverage this module and ultimately the MIT BDS degree to re-skill themselves in the foundational building blocks of Big Data Science whilst researchers can excel in Big Data and Data Science as research disciplines. The full MIT curriculum contains 180 credits, half of which are required courses and the other half is a research-based mini-dissertation. This module, referred to as, MIT 800 (Introduction to Big Data Science) counts 5 credits of the full degree. This is also the first and introductory module for the MIT degree in Big Data Science. In this module Big Data and Data Science will be defined and students will be exposed to different application domains within the participating University of Pretoria academic departments in the MIT degree. These departments include: Computer Science, Electrical, Electronic and Computer Engineering (EECE), Informatics, Information Science, Mathematics and Applied Mathematics, Industrial and Systems Engineering, Statistics, Computational Biology, Sport and Exercise Science. The presentation of this module will be in the format of a two-day workshop. The module will also expose students to real life projects in industry. We will look at industry projects such as the intelligent detection of fraudulent insurance claims and profiling of people on social media platforms.