Overview 

The Bachelor of Mathematics majoring in Data Science provides a strong foundational grounding in rigorous mathematical theory, statistical modeling, and computational data analysis. Offered at Adelaide University, this degree examines how abstract mathematical concepts and data-driven algorithms are applied to extract meaningful insights from massive, complex datasets. Mastering these analytical foundations is essential for solving data-intensive problems, driving predictive modeling, and supporting strategic decision-making across tech, finance, and scientific industries.

What You'll Learn

• Core mathematical structures, including calculus, linear algebra, and discrete mathematics

• Statistical inference, probability theory, stochastic modeling, and regression techniques

• Data science algorithms, machine learning principles, and predictive analytics frameworks

• Scientific programming, algorithmic problem-solving, data visualization, and large-scale data manipulation

Learning Outcomes 

Upon completing this program, graduates will apply advanced mathematical and statistical models to analyze complex datasets, build data-driven predictive algorithms to solve technical challenges, and evaluate data models to ensure statistical validity and operational accuracy.