MAJ10053 Artificial Intelligence and Data Analytics
Artificial intelligence and data analytics are computing techniques that are becoming extremely influential in today’s information technology landscape, and developing skills in this area prepares students for a variety of emerging high-tech roles. In this major, students will learn to identify characteristics of problems that can be solved using Artificial Intelligence and Data Analytics approaches. They will obtain, clean and efficiently represent datasets so that they can apply computational techniques to undertake data analyses and train Artificial Intelligence models. As they progress with these techniques they will learn to develop and optimise algorithms for Artificial Intelligence and Data Analytics, as well as validating their solutions using a variety of methods.
Completion requirements
31250 Introduction to Data Analytics | 6cp | ||
41004 AI/Analytics Capstone Project | 6cp | ||
41040 Introduction to Artificial Intelligence | 6cp | ||
Select 30 credit points of options: | 30cp | ||
31243 AI/Analytics Capstone Project B | 6cp | ||
41077 Data Driven and Intelligent Robotics | 6cp | ||
32146 Data Visualisation and Visual Analytics | 6cp | ||
42028 Deep Learning and Convolutional Neural Network | 6cp | ||
43023 Emerging Topics in Artificial Intelligence | 6cp | ||
31256 Image Processing and Pattern Recognition | 6cp | ||
43024 Introduction to Computational Intelligence | 6cp | ||
43025 Introduction to Quantum Computing | 6cp | ||
31005 Machine Learning | 6cp | ||
41043 Natural Language Processing | 6cp | ||
42050 SAS Predictive Business Analytics | 6cp | ||
42913 Social and Information Network Analysis | 6cp | ||
57304 The Ethics of Data and AI | 6cp | ||
Total | 48cp |