Bachelor of Mathematics majoring in Statistics
Adelaide University
Type of institution: University/Higher Education Institution
Level: Undergraduate
CRICOS: 04249J
In our Bachelor of Mathematics majoring in Statistics, you'll learn how to understand and translate real-world datasets, developing valuable and applicable skills in high demand by employers. In your statistics major, you'll learn how to conduct useful analyses and craft clear visual representations. Explore the ethical use and communication of statistical data. You'll analyse and decipher complex problems in either our specialised Maths Clinic, industry internships or final projects, creating tailored solutions for real challenges. You'll gain critical skills in statistical modelling and apply these across a range of disciplines and situations. Use logical thinking, problem solving and creativity to deliver results. Develop your analytical and communication skills to inform and analyse datasets and explore the use of statistics in areas like medicine, weather, space and finance. You'll graduate ready to apply your knowledge in highly rewarding fields of interest like banking, finance, environmental protection, meteorology, health and research.
Structure
144 units
Subjects
- An Ethically Rich Life COREX001
- Fact or Fiction: Data for Everyone COREX002
- Igniting Change: Ideas to Action COREX003
- Proppa Ways, Future Practice COREX004
- Responsible AI: Bridging Ethics, Education and Industry COREX005
- Ways of Being, Ways of Seeing COREX006
- Problem Solving and Programming COMP1002
- Calculus 1 MATH1004
- Calculus 2 MATH1005
- Communication and Research Skills in Mathematics MATH1020
- Linear Algebra MATHX104
- Multivariable Calculus MATHX203
- Probability and Statistics STATX100
- Statistical Theory STAT2003
- Probability STATX200
- Statistical Methodology STATX302
- Discrete Mathematics MATH1006
- Geometry MATH1007
- First Steps in Mathematics Research MATH1011
- Mathematics in Action MATH1012
- Introduction to Mathematical Data Science MATH1035
- Critical Evaluation in Data Science MATHX106
- Data Visualisation MATHX314
- Introduction to Networks MATHX102
- Mathematical Modelling MATHX103
- Algebra MATHX201
- Differential Equations MATHX202
- Optimisation MATHX205
- Real Analysis MATHX206
- Design of Experiments STATX500
- Advanced Statistical Theory STAT3005
- Computational Statistics STAT3006
- Time Series Analysis MATHX313
- Bayesian Statistical Practice STATX300
- Stochastic Processes STATX303
- Professional Practice MATH1021
- Internship in Mathematics MATHX101
- Statistical Practice STATX290
- Mathematics Clinic 1 MATH3013
- Mathematics Clinic 2 MATH3900
- Project in Mathematics MATH3901
- Electives
Standard entry requirements
- Secondary education (Year 12).
- Completion of a secondary education qualification equivalent to the South Australian Certificate of Education (SACE).
- Vocational Education and Training (VET).
- Completion of an award from a registered training organisation (RTO) at Certificate IV (AQF level 4) or higher.
- Higher education study.
- Successful completion of at least 6 months full-time study (or equivalent part-time) in a higher education award program.
Study information
| Campus | Fees | Mid year intake | Attendance |
|---|---|---|---|
| Adelaide City Campus | International: $164,700 | No |
|
