Entry requirements
Admission criteria
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.
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.
Work and life experience
- Completion of an Adelaide University approved enabling, pathway or bridging program; OR
- A competitive result in the Skills for Tertiary Admissions Test (STAT); OR
- Qualify for special entry.
Please note that entry requirements for this degree are provisional and subject to change.
Why Bachelor of Mathematics?
Discover mathematics in its purest form – exploring the abstract theories that underpin modern science and technology. Pure mathematicians explore patterns and find new ways of approaching difficult problems.
Our Bachelor of Mathematics majoring in Pure Mathematics offers flexibility and is structured to align with current industry trends. You’ll learn how to use pure mathematics to make sense of the abstract, explain modern physics phenomena and interpret big data.
You’ll graduate with advanced skills in logical deduction, problem-solving and data interpretation. Preparing you well for an exciting career where you’ll help drive scientific and technological advancement.

Overview
Our Bachelor of Mathematics majoring in Pure Mathematics is designed to sharpen your problem-solving and data interpretation abilities – skills that are essential to driving scientific and technological progress.
You’ll gain a strong foundation in the knowledge, principles, technical and professional skills essential to mathematical sciences, before specialising in your third year.
Core courses will introduce you to abstract theories constructed through logical deduction as well as fundamental concepts in calculus, algebra, statistics and data taming. Throughout, you’ll learn how to analyse and interpret patterns, predict and model outcomes, solve problems and drive progress.
But it’s not all theory. You might even get the opportunity to define and interpret problems in our specialised Maths Clinic - where you'll develop appropriate solutions for real business problems.
All of these experiences come together to ensure you’ll graduate with the knowledge, technical and professional skills needed to thrive in your mathematical sciences career.
Key features
Discover mathematics in its purest form – using theoretical development and reasoning.
Build knowledge in abstract theories through logical deduction and abstract proofs.
Interpret big data using fundamental mathematics and statistical methods.
Build strong problem-solving skills to prove or disprove mathematical theorems.
Discover future career paths – working directly with industry partners.
Graduate with a competitive edge by completing an honours fourth year.
What you'll learn
Your first year provides a comprehensive introduction to the basic concepts and techniques of calculus and linear algebra and their applications in engineering, the sciences and financial areas. You’ll also be introduced to basic programming concepts through a course in Matlab and C.
Your second year will build your skills in probability, statistical theory and complex analysis, applying your knowledge to a range of mathematical and scientific problems.
In your third year, you’ll dive deeper into pure mathematics with courses in areas such as geometry of surfaces, groups, rings and fields and number theory. Courses introducing approaches to research will also help you gain the skills needed to conduct independent research in areas of interest.
Also in your third year, you’ll build important industry relationships with Adelaide University partners. You might do this through our specialised Maths Clinic, an internship or a supervised project. You’ll have the opportunity to build your communication, critical thinking and problem-solving skills – highly sought after by employers.
Assessments for this degree include assignments, online quizzes, examinations, research projects and lab/practical team-based projects.
Majors
The Bachelor of Mathematical Sciences (Honours) is also available with majors in the following:

Did you know you can study mathematics and engineering concurrently? Gain a competitive edge, completing two undergraduate degrees in just five years of full-time study.
You can combine our Bachelor of Mathematics with the following engineering degrees:
What courses you'll study
Complete 144 units comprising:
- 60 units for Core courses, and
- 18 units from Work integrated learning, and
- Either:
- 48 units for Majors, or
- 48 units for Discipline courses, and
- 18 units for Electives
Complete 60 units comprising:
- 18 units for all Common core, and
- 42 units from Program core
Course name | Course code | Units | |
---|---|---|---|
Course name
UG Common Core 1
|
Course code
AUXX1000
|
Units
6
|
|
Course name
UG Common Core 2
|
Course code
AUXX2000
|
Units
6
|
|
Course name
UG Common Core 3
|
Course code
AUXX3000
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Problem Solving and Programming
|
Course code
COMP1002
|
Units
6
|
|
Course name
Calculus 1
|
Course code
MATH1004
|
Units
6
|
|
Course name
Calculus 2
|
Course code
MATH1005
|
Units
6
|
|
Course name
Communication and Research Skills in Mathematics
|
Course code
MATH1020
|
Units
6
|
|
Course name
Linear Algebra
|
Course code
MATHX104
|
Units
6
|
|
Course name
Multivariable Calculus
|
Course code
MATHX203
|
Units
6
|
|
Course name
Probability and Statistics
|
Course code
STATX100
|
Units
6
|
Notes
Program core - Calculus 1 will not be compulsory for students entering the program who have successfully completed SACE Stage 2 Specialist Mathematics (or equivalent). For these students, Calculus 1 can be replaced with any first year mathematics elective.
Complete 48 units comprising:
- 12 units for all Pure Mathematics major courses, and
- 6 units from Level 1 Pure Mathematics major courses, and
- 6 units from Level 2 Pure Mathematics major courses, and
- 24 units from Level 3 Pure Mathematics major courses
Course name | Course code | Units | |
---|---|---|---|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Discrete Mathematics
|
Course code
MATH1006
|
Units
6
|
|
Course name
Geometry
|
Course code
MATH1007
|
Units
6
|
|
Course name
Critical Evaluation in Data Science
|
Course code
MATHX106
|
Units
6
|
|
Course name
First Steps in Mathematics Research
|
Course code
MATH1011
|
Units
6
|
|
Course name
Mathematics in Action
|
Course code
MATH1012
|
Units
6
|
|
Course name
Introduction to Mathematical Data Science
|
Course code
MATH1035
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Groups, Rings and Fields
|
Course code
MATHX307
|
Units
6
|
|
Course name
Metric and Topological Spaces
|
Course code
MATHX311
|
Units
6
|
|
Course name
Measure and Integration
|
Course code
MATHX310
|
Units
6
|
|
Course name
Geometry of Surfaces
|
Course code
MATHX306
|
Units
6
|
|
Course name
Number Theory
|
Course code
MATHX312
|
Units
6
|
|
Course name
Functional Analysis
|
Course code
MATHX305
|
Units
6
|
|
Course name
Time Series Analysis
|
Course code
MATHX313
|
Units
6
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
Complete exactly 18 units from the following:
Course name | Course code | Units | |
---|---|---|---|
Course name
Professional Practice
|
Course code
MATH1021
|
Units
6
|
|
Course name
Internship in Mathematics
|
Course code
MATHX101
|
Units
6
|
|
Course name
Statistical Practice
|
Course code
STATX290
|
Units
6
|
|
Course name
Mathematics Clinic 1
|
Course code
MATH3013
|
Units
6
|
|
Course name
Mathematics Clinic 2
|
Course code
MATH3900
|
Units
6
|
|
Course name
Project in Mathematics
|
Course code
MATH3901
|
Units
6
|
Complete 18 units comprising:
- 6 units from University-wide electives Level 1, and
- One of the following:
- 6 units from Discipline electives Level 2, or
- 6 units from Applied Mathematics electives Level 2, or
- 6 units from Data Science electives Level 2, or
- 6 units from Pure Mathematics electives Level 2, or
- 6 units from Statistics electives Level 2, and
- One of the following:
- 6 units from Discipline electives Level 3, or
- 6 units from Applied Mathematics electives Level 3, or
- 6 units from Data Science electives Level 3, or
- 6 units from Pure Mathematics electives Level 3, or
- 6 units from Statistics electives Level 3
Course name | Course code | Units | |
---|---|---|---|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
|
Course name
Statistical Theory
|
Course code
STAT2003
|
Units
6
|
|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
Course name
Probability
|
Course code
STATX200
|
Units
6
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Complex Analysis
|
Course code
MATHX100
|
Units
6
|
|
Course name
Introduction to Networks
|
Course code
MATHX102
|
Units
6
|
|
Course name
Mathematical Modelling
|
Course code
MATHX103
|
Units
6
|
|
Course name
Algebra
|
Course code
MATHX201
|
Units
6
|
|
Course name
Differential Equations
|
Course code
MATHX202
|
Units
6
|
|
Course name
Numerical Methods
|
Course code
MATHX204
|
Units
6
|
|
Course name
Real Analysis
|
Course code
MATHX206
|
Units
6
|
|
Course name
Optimisation
|
Course code
MATHX205
|
Units
6
|
|
Course name
Data Visualisation
|
Course code
MATHX314
|
Units
6
|
|
Course name
Design of Experiments
|
Course code
STATX500
|
Units
6
|
|
Course name
Further Steps in Mathematics Research
|
Course code
MATH2010
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Elective 1
|
Course code
AUXX1011
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
Course name
Statistical Methodology
|
Course code
STAT3000
|
Units
6
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
Course name
Data Science Practice
|
Course code
STAT3004
|
Units
6
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATH3001
|
Units
6
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
Course name
Statistical Methodology
|
Course code
STAT3000
|
Units
6
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
Course name
Data Science Practice
|
Course code
STAT3004
|
Units
6
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
Course name
Statistical Methodology
|
Course code
STAT3000
|
Units
6
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
Course name
Data Science Practice
|
Course code
STAT3004
|
Units
6
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
Course name
Advanced Differential Equations
|
Course code
MATHX300
|
Units
6
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
Course name | Course code | Units | |
---|---|---|---|
Course name
Simulation for Decision Science
|
Course code
MATH2000
|
Units
6
|
|
Course name
Mathematical Biology
|
Course code
MATH3002
|
Units
6
|
|
Course name
Advanced Optimisation
|
Course code
MATH3003
|
Units
6
|
|
Course name
Groups, Rings and Fields
|
Course code
MATH3004
|
Units
6
|
|
Course name
Metric and Topological Spaces
|
Course code
MATH3005
|
Units
6
|
|
Course name
Measure and Integration
|
Course code
MATH3006
|
Units
6
|
|
Course name
Geometry of Surfaces
|
Course code
MATH3007
|
Units
6
|
|
Course name
Number Theory
|
Course code
MATH3008
|
Units
6
|
|
Course name
Introduction to Topological Data Analysis
|
Course code
MATH3009
|
Units
6
|
|
Course name
Advanced Differential Equations
|
Course code
MATH3010
|
Units
6
|
|
Course name
Fluid Dynamics
|
Course code
MATH3011
|
Units
6
|
|
Course name
Functional Analysis
|
Course code
MATH3012
|
Units
6
|
|
Course name
Time Series Analysis
|
Course code
MATH3021
|
Units
6
|
|
Course name
Cryptography
|
Course code
MATH3022
|
Units
6
|
|
Course name
Complex Networks
|
Course code
MATH3023
|
Units
6
|
|
Course name
Stochastic Processes
|
Course code
STAT3002
|
Units
6
|
|
Course name
Data Science Practice
|
Course code
STAT3004
|
Units
6
|
|
Course name
Advanced Statistical Theory
|
Course code
STAT3005
|
Units
6
|
|
Course name
Computational Statistics
|
Course code
STAT3006
|
Units
6
|
|
Course name
Bayesian Statistical Practice
|
Course code
STAT3012
|
Units
6
|
|
Course name
Text and Social Media Analytics
|
Course code
COMPX300
|
Units
6
|
|
Course name
Advanced Mathematical Modelling
|
Course code
MATHX301
|
Units
6
|
Notes
Discipline electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Applied Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Data Science electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Pure Mathematics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Statistics electives Level 2 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Discipline electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Applied Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Data Science electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Pure Mathematics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director
Statistics electives Level 3 - Students may elect to replace the Discipline Electives with open electives under guidance from the Program Director

Career outcomes
Pure mathematicians explore the boundary between mathematics and pure reason. Their exceptional problem-solving abilities and advanced technical skills, make them valuable assets in finance and banking, business, technology, healthcare, engineering, government policy and research.
You could play a crucial role in cryptography, developing efficient encryption techniques for e-currency or military communications. You might advance topological methods, designing faster, more efficient methods for analysing high-dimensional and complex datasets. Or perhaps you’ll pursue a career in academia, applying your expertise on research projects that seek to tackle the biggest mathematical questions of our time.
Mathematicians can be found applying their knowledge and skills in a range of fields, including:
- Economics
- Engineering
- Environmental science
- Finance and banking
- Healthcare and biostatistics
- Market research and business intelligence
- Material science
- Public health
- Sports analytics
- Technology and software development.
Industry trends
A wide range of trends, current and emerging, are driving the demand for mathematicians – across every industry. Advancements in areas like quantum computing, cybersecurity, predictive analytics, financial technologies, artificial intelligence, and biostatistics all depend upon the expertise of mathematicians to drive progress forward.
The demand for fast, data-driven decision-making is becoming the norm for industries across the board. Employer interest in the application of artificial intelligence and big data technologies to achieve greater precision in their use and interpretation of data is creating a wealth of career opportunities for mathematicians.
Australia is currently facing a shortage in STEM-qualified individuals. The ability to understand and apply data, and develop solutions to complex problems, will be highly favourable among future employers in industry (Australian Government Department of Education, 2023).
Ready to apply?
FAQs
Explore answers to some of our most frequently asked questions.
Applications for Australian students to study at Adelaide University will open in August 2025. Applications will be via SATAC for most undergraduate and postgraduate coursework programs.
Applications to study a 100% online degree will open in July 2025 via a direct application process.
In the meantime, you could start your studies at UniSA or the University of Adelaide in 2025 and continue on to Adelaide University in 2026.
Adelaide University is South Australia’s largest university with seven campuses across the state. Adelaide City Campus is in the heart of the central business district (including eastern and western precincts), while our Magill, Mawson Lakes and Waite campuses are located within the inner suburbs of Adelaide. Our Mount Gambier, Roseworthy and Whyalla campuses are set in the regions of South Australia. Building on our digital and online learning successes, we aim to also deliver online education to more students than any other Australian university.
Each of our campuses is equipped with cutting-edge, discipline specific facilities, contemporary study spaces and well-resourced libraries. Our city and suburban campuses also feature on-site gyms and eateries, and health services on, or nearby, campus.
You will be well supported academically, socially, emotionally and spiritually with access to on-campus facilities and services such as counselling, learning support, childcare, prayer rooms and more.
You will be well supported through a range of services at Adelaide University to ensure you get the most out of your student experience. Support services include:
- Academic learning support, spanning assistance with writing, referencing, mathematics and more.
- Advice and advocacy regarding access, adjustments and inclusivity if you have a disability, impairment, chronic health condition or significant caring responsibilities.
- Libraries providing flexible study spaces, access to books, computer suites and online resources – as well as referencing support, search tips and more.
- Career development hub, including extensive self-help resources, online learning programs, on-campus events, workshops and networking, one-on-one advice, and job search support.
- Qualified counsellors who can provide confidential support to manage your mental health and wellbeing.
- On-campus medical clinics on-site where you can make an appointment with a General Practitioner to discuss acute and preventative health care matters.
- Information and advice for international students regarding accommodation, student life, and academic policies and procedures.
- An active and visible LGBTIQA+ Ally Network that ensures the University provides a supportive environment where all staff and students can safely work and study free of harassment or discrimination.
- Prayer rooms on campus, including gender specific spaces for worship purposes.
- Campus security available 24 hours a day, seven days a week to ensure all students feel safe on campus.
- A range of scholarships offered to commencing and continuing students each year to make university life a little easier.
- A number of social outlets including student lounges, gyms, student-led clubs, sports teams and free events throughout the year.
Your tuition fees will depend on your program of study and enrolment load. You can find the annual fees relevant to your program on the specific degree page under the ‘fees’ section. The annual fee payable for your chosen program will also be outlined in your Offer of Admission.
Adelaide University will open in January 2026. Your studies will start at different times depending on what study period you’ve applied for. Adelaide University is currently using a semester model, which means most degrees start in Semester 1. Some degrees are also available to start in mid-year, sometimes with a different degree structure.
Studies at Adelaide University typically commence in:
- February for Semester 1
- July for Semester 2.
Some degrees, such as the Bachelor of Medical Studies and Master of Business Administration, will have different starting dates. View the relevant degree page for more detail.
For other key dates, including census dates and exam periods, you can view the Academic calendar.
Your study experience and support
Adelaide University sets you up for success in your studies – and your social life. You’ll have access to work placement and internship opportunities, overseas study tours and exchanges, networking events with guest speakers and more. Our campuses are equipped with purpose-built facilities including lecture theatres, libraries, workshops, laboratories, and spaces that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform with personalised study information and resources.
You’ll have everything you need to live well and thrive during your studies, with health services on campus, gymnasiums, technology zones and modern student lounges. Get involved in campus sport or join our student clubs that will connect you to your passions – and the people who share them.
Adelaide also has a variety of accommodation options to suit your individual requirements and budget, with options ranging from dedicated student accommodation to private rentals. One of the world’s most liveable cities, Adelaide has lots of leafy parks, gardens and social hubs – and some of the highest living standards globally. No matter where you are in Adelaide, you’re only a short distance from beaches, vineyards, museums, art galleries, restaurants, bars and parklands. Visit the accommodation web page to find out more.
Student services
We’re here to support you on your student journey. Adelaide University offers a range of support services and facilities, including:
- Career advice and mentoring services
- Personal counselling
- LGBTQIA+ support
- Academic support
- Fees and finance help
- Security services
- Accommodation services
- Common rooms
- Prayer rooms.
You’ll also have unlimited access to our dedicated student support hub. Visit in-person or online, or contact our friendly team by phone. We can assist you with anything study-related including enrolment, identification cards, timetables, fees and more.

Your campus
You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces.
Study hours
Your courses will require a combination of different learning formats, including lectures, tutorials, workshops, seminars and practicals. Aside from your classes, you’ll also need to allocate additional time for independent study. This may include assignments, readings, projects and contributing to online discussion forums. As a rough guide, full-time studies may require 12-26 hours of class time and 14-18 hours of independent study per week.
Assessment
During your studies at Adelaide University, you’ll complete a mixture of practical, professional and research-based learning. Your assessment types will vary depending on the degree you’re studying, but may include:
- Case studies
- Essays and assignments
- Examinations
- Group projects
- Internships and placements
- Practicals
- Presentations
- Reports and project documentations
- Research projects
- Workplace and classroom contributions.
