Master of Mathematics in Computer Science - Artificial intelligence and machine learning

Artificial intelligence and machine learning are broad research areas within computer science that encompass a number of topics related to the design of computer systems that perform tasks conventionally associated with human intelligence. These areas overlap with several other research areas both within and beyond computer science, including algorithm design, information theory, statistics, optimization, scientific computation, human-computer interaction, and more. Machine learning is concerned with the analysis and development of methods to explore, discover, visualize, and model structure in data as well as to make predictions and decisions based on that structure. Data is often incomplete, noisy, non-homogeneous in structure and large in size (e.g., large number of observations or dimensions, or both). Special attention is paid to the development of computationally efficient (with respect to time and memory usage) algorithms. Research includes the mathematical and computational analysis of the statistical methodology, the development of new techniques, algorithms, and software, and the application of these to complex problems from other areas.

An Honours Bachelor degree in Computer Science or Engineering (or equivalent degree) with at least a 78% standing.ResumeSupplementary information form (SIF)The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the application documents web page for more information about this requirementIf a statement or letter is required by your program, review the writing your personal statement resources for helpful tips and tricks on completionTranscript(s)ReferencesThree references are required; at least two academic