Bachelor of Mathematical Sciences (Advanced)

The Bachelor of Mathematical Sciences (Advanced) at Adelaide University is designed for students with a strong interest and proven ability in mathematics and statistics. Across three years of full-time study, you’ll explore core and advanced topics from pure and applied mathematics to statistics, with optional subjects in computer science and programming. The degree is structured into semesters, each comprising several units of study. Students need to complete the required credit points as specified by the university, with some units building essential mathematical theory while others focus on how mathematics is applied in real-world contexts.

In the later stages, you’ll have the freedom to select specialisation electives. There's a strong emphasis on independent and group work, challenging you both analytically and creatively. Many students tackle a major project or undertake research, often mentored by academics engaged in active research partnerships, sometimes in conjunction with leading organisations and government agencies in South Australia and beyond.

Through this course, you'll build strong skills in logical reasoning, abstract thinking, problem-solving, and statistical analysis. You'll also gain experience with mathematical software tools and may have the opportunity to collaborate on projects that relate directly to research or industry. This course is suitable for those who enjoy working with numbers, concepts, and theory, and who are considering technical or research-focused roles in mathematics, data science, or computational sciences.

Adelaide University’s city campus offers students access to a network of local industry connections and national research hubs, supporting work-integrated learning where available. Studying in Australia allows international students to work up to 48 hours per fortnight during semester, and graduation may provide eligibility for the Temporary Graduate visa (subclass 485) post-study work stream. For full details on structure, units, or enrolment, visit the official source.

• Data analyst or statistician in finance, health, or government sectors
• Mathematical modeller for industry, environmental agencies, or research groups
• Quantitative analyst in banking and insurance
• Data scientist roles in technology and consulting firms
• Research assistant or postgraduate research in mathematics or computer science
• Policy and planning roles within government and corporate strategy units