Bachelor of Mathematics majoring in Data Science
Adelaide University
Type of institution: University/Higher Education Institution
Level: Undergraduate
CRICOS: 04249J
Our Bachelor of Mathematics majoring in Data Science provides a solid grounding in the mathematical principles, theories and advanced modelling techniques relevant to global industry practices. In your Data Science major, you'll build a deep knowledge of abstract theories used in mathematics and statistical modelling. Learning how to apply fundamental concepts in calculus, algebra, statistics and data taming. Deeply practical, you might have opportunities to collaborate with industry and will complete a real-world project in your third year. You might also choose to undertake an additional honours year, developing advanced research skills that will set you apart to employers. You'll graduate with the expertise to understand data and translate business problems into a solution-focused, structured and organised blueprint. Preparing you well for an exciting career in a range of industries - including finance, healthcare, technology, education, government and more.
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
- Optimisation MATHX205
- Data Science Practice STATX301
- Probability STATX200
- 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
- Statistical Theory STAT2003
- Data Visualisation MATHX314
- Introduction to Networks MATHX102
- Mathematical Modelling MATHX103
- Algebra MATHX201
- Differential Equations MATHX202
- Statistical Methodology STAT3000
- Computational Statistics STAT3006
- Simulation for Decision Science MATHX207
- Advanced Optimisation MATHX302
- Complex Networks MATHX303
- Time Series Analysis MATHX313
- Text and Social Media Analytics M COMPX300
- Professional Practice MATH1021
- Internship in Mathematics MATHX101
- Statistical Practice STATX290
- Mathematics Clinic 1 MATH3013
- Mathematics Clinic 2 MATH3900
- Project in Mathematics MATH3901
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 |
|
