COURSE CURRICULUM

The UTS Bachelor of Mathematical Sciences provides students with a comprehensive foundation in mathematics, statistics, and programming, preparing them for a wide range of careers in data-driven and analytical fields. The degree begins with core subjects that build essential skills, including fundamental mathematics, probability and random variables, differential equations, linear algebra, numerical methods, real analysis, complex analysis, and mathematical statistics. Programming is integrated into the curriculum, ensuring students develop computational proficiency alongside their theoretical knowledge. These foundational subjects equip students with the analytical, problem-solving, and quantitative reasoning abilities required to tackle complex mathematical challenges and apply them in practical contexts.After completing the core subjects, students focus on a major stream aligned with their career goals, allowing them to develop specialised expertise in areas such as statistics, data science, or pure and applied mathematics. This major provides in-depth learning in relevant techniques and methodologies, preparing graduates to address real-world problems with precision and creativity. Additionally, students have the opportunity to gain academic credit through internships, providing practical, hands-on experience that enhances their understanding of how mathematical and statistical skills are applied in professional settings. Elective subjects, chosen from across UTS’ diverse range of schools and disciplines, further enrich the student experience, allowing them to complement their major with interdisciplinary knowledge in areas such as business, computing, or scientific applications.Throughout the degree, emphasis is placed on both theoretical understanding and practical application, fostering critical thinking, logical reasoning, and data analysis skills. By graduation, students are well-equipped to interpret complex data, develop predictive models, and contribute to solutions across industries such as finance, technology, engineering, and research. This degree also provides a strong foundation for further postgraduate study or research, enabling graduates to pursue advanced careers in mathematics, statistics, data analytics, and related fields.