Overview

The Bachelor of Mathematics (Honours) majoring in Data Science delivers an advanced foundation in rigorous mathematical theory, high-level statistical modeling, and computational data processing. Taught at Adelaide University, this program explores how pure and applied mathematical frameworks underpin sophisticated algorithms, predictive analytics, and large-scale data extraction. Developing expertise in these core disciplines is critical for conducting high-level analytical research, optimizing complex computational models, and leading data-driven innovation in technical industries.

What You'll Learn

Advanced calculus, linear algebra, numerical analysis, and discrete mathematical foundations

Complex statistical inference, probability theory, decision analysis, and regression modeling

Machine learning algorithms, statistical computing, dynamic visualization, and big data architectures

Research methodologies, mathematical problem-solving, advanced algorithmic formulation, and literature review practices

Learning Outcomes

Upon completing this degree, graduates will synthesize complex mathematical and statistical theories to model real-world phenomena, formulate advanced computational algorithms to extract insights from large datasets, and evaluate data science methodologies to solve high-level quantitative problems.