Bachelor of Mathematics (Honours) majoring in Data Science
Adelaide University
Type of institution: University/Higher Education Institution
Level: Undergraduate
CRICOS: 04249J
Discover how to extract useful insights from large and complex datasets in our Bachelor of Mathematics (Honours). This degree provides you with the same breadth and depth of learning as the foundation bachelor degree, but with the additional opportunity to advance directly into a research-focused honours year. The Data Science major equips you with the knowledge and skills to make sense of large, complicated datasets to extract relevant insights and apply these across a range of disciplines and situations. Build deep knowledge of the abstract theories used in mathematics and statistical modelling. Learn how to apply fundamental concepts in calculus, algebra, statistics and data taming. Deeply practical, you'll have multiple opportunities throughout to hone your technical and professional skills - whether that's developing maths-driven solutions for real business problems in our Maths Clinic, completing a capstone industry project or industry placement. Set yourself apart to future employers by undertaking a major honours research project on a topic of your choosing. This experience also equips you with a solid foundation upon which to pursue further research through a PhD. Graduate career-ready and with the confidence to apply your knowledge in highly rewarding fields of interest like finance, healthcare, technology, education, government and more.
Structure
192 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
- Mathematics Research Project 1 MATHX406
- Mathematics Research Project 2 MATHX407
- Probability and Statistics STATX100
- Optimisation MATHX205
- Probability STATX200
- Data Science Practice STATX301
- 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
- Information Technology Systems INFO1012
- Structured Data COMP1003
- Object-Oriented Programming COMP1005
- Algebra MATH2007
- Statistical Theory STAT2003
- Introduction to Networks MATHX102
- Mathematical Modelling MATHX103
- Differential Equations MATHX202
- Data Visualisation MATHX314
- Computational Statistics STAT3006
- Text and Social Media Analytics COMPX300
- Simulation for Decision Science MATHX207
- Statistical Methodology STATX302
- Advanced Optimisation MATHX302
- Complex Networks MATHX303
- Time Series Analysis MATHX313
- Professional Practice MATH1021
- Statistical Practice STATX290
- Mathematics Clinic 1 MATH3013
- Mathematics Clinic 2 MATH3900
- Project in Mathematics MATH3901
- Internship in Mathematics MATHX101
- 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 in an undergraduate diploma (AQF level 5) or higher.
Study information
| Campus | Fees | Mid year intake | Attendance |
|---|---|---|---|
| Adelaide City Campus | International: $219,600 | No |
|
