Game Mathematician Courses

The Bachelor of Computer Science (Artificial Intelligence) delves into the transformative potential of AI and machine learning in contemporary society. Students acquire hands-on expertise with cutting-edge methods and technologies, encompassing cloud computing and software structures. The course offers real-world AI experiences across diverse industries through Work Integrated Learning. Emphasising areas such as robotic programming, expert systems, knowledge representation, data visualisation, and machine learning, it equips graduates to meet the pressing AI needs of various modern sectors.

The Bachelor of Data Science equips students with skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data handling, crucial for roles in business decision-making, corporate strategy, and government planning. The course enhances problem-solving abilities and teaches effective communication to both technical and non-technical audiences. It emphasises independent and team work, considering ethical and legal aspects. Students will learn to analyse and manage large data sets, using technologies like Python and R programming languages, and evaluate insights and solutions.

The Bachelor of Mathematics imparts skills in problem-solving, data analysis, mathematical modelling, and logic, applicable across various sectors and industries. This course enables students to use mathematical and statistical models for analysing information and predicting outcomes in fields like economics, finance, and medicine, aiding governments and businesses in decision-making. Students acquire quantitative, analytical abilities and a solid grounding in calculus, linear algebra, and mathematical analysis, developing comprehensive knowledge and application skills in mathematics for diverse fields and industries.