Example courses, amongst others, may include: Cyber-security, Digital Forensics, Deep Machine Learning, Image and sound analysis, Feature extraction, …
This is the first and introductory module for the MIT degree in Big Data Science.
In this module students will be exposed to different categories of machine and statistical learning algorithms that can be used to manipulate big …
Students will obtain hands-on experience on the following technologies such as: Python, Spark, Hadoop, R and SAS, Streaming, Data fusion, Distributed …
The focus in this module is on Information Ethics and its place within the disciplines of Ethics and Philosophy.
In this module students will be introduced to Mathematical Optimization through gaining knowledge about the theory and algorithms to solve …
This module focuses on tools for Big Data processing. The focus is on the 3 V- characteristics of Big Data namely volume, velocity and variety.
Big data management is the governance, administration and organization of large volumes of both structured and unstructured data.
Students may choose a supervisor/co-supervisor from any of the participating departments, which includes, but are not limited to: Electrical, …
This module provides the opportunity to students for demonstrating the application of the theoretical Big Data Science knowledge gained in the core …
Similar to MIT 862; which has the following description: Research methodologies applicable to the IT field as preparation for the mini-dissertation …
Computer Science in Perspective
Life-cycle and maturity models for IT
Corporate IT systems
ICT Infrastructure Management
Research methodologies applicable to the IT field as preparation for the mini-dissertation for the A Stream students.
Dissertation: Computer science (Masters)
