Bachelor of Computer Science (Honours) majoring in Artificial Intelligence and Machine Learning

Undergraduate | 2026

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  • Australian or New Zealand Citizen
  • Australian Permanent Resident (including Humanitarian Visa holders)

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You're considered an International student if you are:

  • NOT an Australian or New Zealand citizen
  • NOT an Australian Permanent Resident (including Humanitarian Visa holders)

Not an International student?
This degree is only available to International students

You're considered an International student if you are:

  • NOT an Australian or New Zealand citizen
  • NOT an Australian Permanent Resident (including Permanent Humanitarian Visa holders)
This degree is only available to Australian students

You're considered an Australian student if you are any of the following:

  • Australian or New Zealand Citizen
  • Australian Permanent Resident (including Permanent Humanitarian Visa holders)
Mode icon
Mode
Mode
Your study is primarily delivered on campus
On Campus
Start date icon
Start date
Start date
The month you will commence your studies. Exact start date is outlined in the course timetable.
February, July
Campus icon
Campus
Adelaide City Campus
Duration icon
Duration
Duration
Duration is approximate and based on a full-time study load. Part-time study is not available for international students.
4 year(s) full-time
Program code icon
Program code
HCOMP
Study as icon
Study as
Full-time
Fees
Indicative annual fees
Indicative annual fees
Published fees are for international students starting in 2026. Fees are based on the total number of units studied in this program on a full-time annual basis. Adelaide University also accepts applications for programs commencing after the advertised year. Tuition fees for these later years are likely to be higher.
$53,300
Non-tuition fees
Prerequisites icon
Prerequisite
Prerequisite
A prerequisite is a required course or/subject that you must have successfully completed before you can enrol into this program.
SACE Stage 2 Mathematical Methods (or equivalent).
Assumed knowledge icon
Assumed knowledge
Assumed knowledge
Assumed knowledge, while not essential, is where you have a minimum level of understanding in the relevant course area.
None
English Language Requirements icon
English language requirements
IELTS Overall 6.5 IELTS Reading 6 IELTS Listening 6 IELTS Speaking 6 IELTS Writing 6 Equivalent English qualifications
CRICOS code icon
CRICOS code
115686J
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Entry requirements

Admission criteria

To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfill 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 in an undergraduate diploma (AQF level 5) or higher.

English language entry requirements

In addition, international students who speak English as an additional language must have obtained one of the following standards within the last two years prior to admission. Possession of one or more of these qualifications, in addition to the academic entry requirements, does not, in itself, guarantee a place at Adelaide University. Applications are considered on an individual basis and selection is competitive. Where previous study/work experience was conducted in English, the application must be accompanied by certified documentation from the educational institution/employer certifying that the language of instruction/employment was English.

  • IELTS Overall 6.5
  • IELTS Reading 6
  • IELTS Listening 6
  • IELTS Speaking 6
  • IELTS Writing 6

Please access the following link for a comprehensive list of English language tests accepted by Adelaide University and other important information in relation to meeting the University’s language requirements:

Equivalent English qualifications

International admissions by country

Country Requirement Score
Australia ATAR 80
Bangladesh Higher Secondary Certificate (HSC) 4.90
Canada Ontario Secondary School Diploma (OSSD) 75%
China Gaokao 70%
Denmark Studentereksamen (stx: Upper Secondary School Diploma) 4 (Fair)
France French Baccalaureate 12.0
Global International Baccalaureate 28
Hong Kong Diploma of Secondary Education (HKDSE) 18
India CBSE and CISCE 80
India State Board Examinations 90
Indonesia SMA III 80%
Kenya Certificate of Secondary Education (KCSE) B+
Malaysia Matrikulasi 3.00
Malaysia Sijil Tinggi Persekolahan Malaysia (STPM) 3.00
Malaysia United Entrance Certificate (UEC) 19
Nepal National Examinations Board (NEB) 3.21
Norway Upper Secondary School Certificate (Vitnemal fra den Videregaende Skole) / Vitnemal For Videregaende Opplaering 4.0
Phillippines High School Diploma (Grade 12) (Academic Track) K12 88%
Singapore Singapore GCE Advanced Levels 9
South Korea College Scholastic Ability Test (CSAT) 330
Sri Lanka GCE A Levels 10
Sweden Upper Secondary School Leaving Certificate 15.0
Taiwan GSAT % 70%
Thailand Matayom 6 3.60
UK / Global GCE Advanced Levels 9
USA / Global Advanced Placement (AP) 9
USA / Global America College Test (ACT) 24
USA / Global Scholastic Assessment Test (SAT) 1170
Vietnam Bằng Tốt Nghiệp Trung Học Phổ Thông (Vietnamese Year 12) 8.3

Why Bachelor of Computer Science (Honours)?

As Artificial Intelligence (AI) continues to revolutionise the world around us, immerse yourself in its endless possibilities. 

Discover how AI powers robots, how machines understand human language and how to create algorithms that enable computers to learn from data. Engage in a research-informed approach to make a significant impact on industries from manufacturing to finance and healthcare. 

Gain the essential technical skills to reshape industries through innovative solutions. Simulate industry challenges and engage in collaborative projects, enhancing your learning experience and uncovering the nature of the growing tech landscape. 

Benefit from our hands-on curriculum where you’ll dive into real-world problems from day one. With a blend of creativity and analytical thinking, you'll be equipped to tackle some of the world's most pressing challenges in AI and machine learning.  

program overview

Overview

The Bachelor of Computer Science (Honours) majoring in Artificial Intelligence and Machine Learning equips you with the hands-on skills to create, implement and evaluate advanced software systems capable of performing tasks that typically require human intelligence. Our degree will prepare you to develop cutting-edge AI solutions for real-world challenges.  

Your studies will focus on building your foundational knowledge in the areas of computer science, statistics and mathematics. Through this, you’ll learn how to apply this knowledge across different industries, solving complex problems and creating innovative solutions. You’ll then explore your major, by mastering programming techniques, exploring machine learning algorithms, and understanding the complexities of AI implementation and adaptation.

Collaborate with researchers and academics who are experts in their field, in a directed Honours thesis to gain new insights. You’ll also have the opportunity to explore the Industrial AI Research Centre, a global leader in this exciting field. Immerse yourself in the realm of AI and enhance human knowledge and capabilities to new heights. 

Key features

  • Program Key featuresDiscover AI and machine learning in a global context. 
  • Program Key featuresStudy under the guidance of academics and researchers who are leaders in industry. 
  • Program Key featuresTailor your studies to areas of interest by undertaking specific Honours electives. 
  • Program Key featuresEngage in collaborative groups to tackle a research or industry project.  
  • Program Key featuresUse research and analysis in AI/machine learning projects in a fourth-year thesis. 

What you'll learn

Our Bachelor of Computer Science is a flexible and dynamic degree, where you can choose your preferred major from second year. You’ll learn a mix of theoretical concepts and practical applications of computer science practices, applying your knowledge to real-world digital transformation. Build a strong foundation in the principles of IT before diving into the innovative field of AI and machine learning.  

The AI and machine learning major will explore areas such as natural language processing, advanced machine learning and linear algebra. Learn how to develop algorithms and advanced data structures to inform future projects. You’ll be equipped with the practical skills and knowledge for a successful career.  

In your third year, you’ll get a taste of what’s possible once you graduate through an industry project. You’ll work in a small group to produce an artefact for an industry partner and put your knowledge into practice.  

In your final Honours year, you’ll undertake an independent research project, developing and presenting a computer science thesis of your choice. Sharpen your research abilities as you work independently and with mentors and researchers to tackle an open-ended question. You’ll also have the option to choose specialised Honours electives aligned with research advancements in the field of AI and more. 

You’ll be able to complete majority of first year common courses and second year courses at either our Adelaide City or Mawson Lakes Campus with some potential cross-campus study required. Throughout your degree, you’ll gain access to cutting-edge facilities across both campus locations to enhance your overall learning experience.  

Once complete, you’ll be eligible for professional membership with the Australian Computer Society (ACS).  

Majors 

The Bachelor of Computer Science (Honours) is also available with majors in the following: 

what you'll learn

What courses you'll study

Complete 192 units comprising:

  • 114 units for all Core courses, and
  • Either:
  • 54 units for one Major from Major, or
  • 54 units for all Discipline courses, and
  • 12 to 24 units from Work integrated learning, and
  • 0 to 12 units for Electives

Complete 114 units for ALL of the following:

Course name Course code Units
course icon
Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
course icon
Course name
Structured Data
Course code
COMP1003
Units
6
course icon
Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
course icon
Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
course icon
Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
course icon
Course name
Software Development Practice
Course code
COMP2021
Units
6
course icon
Course name
Grand Challenges
Course code
COMP2040
Units
6
course icon
Course name
Information Technology Systems
Course code
INFO1012
Units
6
course icon
Course name
System Requirements
Course code
INFO1013
Units
6
course icon
Course name
Security Foundations
Course code
INFO1016
Units
6
course icon
Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
course icon
Course name
Foundations in Mathematics
Course code
MATH1000
Units
6
course icon
Course name
Large Language Models and Knowledge Representation
Course code
COMP4001
Units
6
course icon
Course name
Distributed Ledger and Contractual Execution Languages
Course code
COMP4002
Units
6
course icon
Course name
Database Theory and Models
Course code
COMP4003
Units
6
course icon
Course name
Computer Science Thesis A
Course code
COMP4800
Units
6
course icon
Course name
Computer Science Thesis B
Course code
COMP4801
Units
6
course icon
Course name
Computer Science Thesis C
Course code
COMP4802
Units
6
course icon
Course name
Quantitative Methods
Course code
MATH4048
Units
6

Course name Course code Units
Year 1
Semester 1
Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
Course name
Structured Data
Course code
COMP1003
Units
6
Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
Course name
Information Technology Systems
Course code
INFO1012
Units
6
Semester 2
Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
Course name
System Requirements
Course code
INFO1013
Units
6
Course name
Security Foundations
Course code
INFO1016
Units
6
Course name
Foundations in Mathematics
Course code
MATH1000
Units
6
Year 2
Semester 1
Course name
Probability and Statistics
Course code
STATX100
Units
6
Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
Course name
Software Development Practice
Course code
COMP2021
Units
6
Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
Semester 2
Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
Course name
Machine Learning
Course code
ARTI2001
Units
6
Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
Year 3
Semester 1
Course name
Grand Challenges
Course code
COMP2040
Units
6
Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
Semester 2
Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
Course name
High Performance Computing
Course code
COMP2007
Units
6
Year 4
Semester 1
Course name
Database Theory and Models
Course code
COMP4003
Units
6
Course name
Computer Science Thesis A
Course code
COMP4800
Units
6
Course name
Quantitative Methods
Course code
MATH4048
Units
6
Semester 2
Course name
Large Language Models and Knowledge Representation
Course code
COMP4001
Units
6
Course name
Distributed Ledger and Contractual Execution Languages
Course code
COMP4002
Units
6
Course name
Computer Science Thesis B
Course code
COMP4801
Units
6
Course name
Computer Science Thesis C
Course code
COMP4802
Units
6

Complete 54 units for ALL of the following:

Course name Course code Units
course icon
Course name
Machine Learning
Course code
ARTI2001
Units
6
course icon
Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
course icon
Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
course icon
Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
course icon
Course name
High Performance Computing
Course code
COMP2007
Units
6
course icon
Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
course icon
Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
course icon
Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
course icon
Course name
Probability and Statistics
Course code
STATX100
Units
6

Course name Course code Units
Year 1
Semester 1
Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
Course name
Structured Data
Course code
COMP1003
Units
6
Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
Course name
Information Technology Systems
Course code
INFO1012
Units
6
Semester 2
Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
Course name
System Requirements
Course code
INFO1013
Units
6
Course name
Security Foundations
Course code
INFO1016
Units
6
Course name
Foundations in Mathematics
Course code
MATH1000
Units
6
Year 2
Semester 1
Course name
Probability and Statistics
Course code
STATX100
Units
6
Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
Course name
Software Development Practice
Course code
COMP2021
Units
6
Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
Semester 2
Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
Course name
Machine Learning
Course code
ARTI2001
Units
6
Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
Year 3
Semester 1
Course name
Grand Challenges
Course code
COMP2040
Units
6
Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
Semester 2
Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
Course name
High Performance Computing
Course code
COMP2007
Units
6
Year 4
Semester 1
Course name
Database Theory and Models
Course code
COMP4003
Units
6
Course name
Computer Science Thesis A
Course code
COMP4800
Units
6
Course name
Quantitative Methods
Course code
MATH4048
Units
6
Semester 2
Course name
Large Language Models and Knowledge Representation
Course code
COMP4001
Units
6
Course name
Distributed Ledger and Contractual Execution Languages
Course code
COMP4002
Units
6
Course name
Computer Science Thesis B
Course code
COMP4801
Units
6
Course name
Computer Science Thesis C
Course code
COMP4802
Units
6

Complete 12 to 24 units from the following:

Course name Course code Units
course icon
Course name
Intensive Computing Project
Course code
COMP3900
Units
12
course icon
Course name
ICT Internship 1
Course code
COMP4901
Units
6
course icon
Course name
ICT Internship 2
Course code
COMP4902
Units
12
course icon
Course name
ICT Internship 3
Course code
COMP4903
Units
18
course icon
Course name
ICT Internship 4
Course code
COMP4904
Units
24

Course name Course code Units
Year 1
Semester 1
Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
Course name
Structured Data
Course code
COMP1003
Units
6
Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
Course name
Information Technology Systems
Course code
INFO1012
Units
6
Semester 2
Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
Course name
System Requirements
Course code
INFO1013
Units
6
Course name
Security Foundations
Course code
INFO1016
Units
6
Course name
Foundations in Mathematics
Course code
MATH1000
Units
6
Year 2
Semester 1
Course name
Probability and Statistics
Course code
STATX100
Units
6
Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
Course name
Software Development Practice
Course code
COMP2021
Units
6
Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
Semester 2
Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
Course name
Machine Learning
Course code
ARTI2001
Units
6
Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
Year 3
Semester 1
Course name
Grand Challenges
Course code
COMP2040
Units
6
Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
Semester 2
Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
Course name
High Performance Computing
Course code
COMP2007
Units
6
Year 4
Semester 1
Course name
Database Theory and Models
Course code
COMP4003
Units
6
Course name
Computer Science Thesis A
Course code
COMP4800
Units
6
Course name
Quantitative Methods
Course code
MATH4048
Units
6
Semester 2
Course name
Large Language Models and Knowledge Representation
Course code
COMP4001
Units
6
Course name
Distributed Ledger and Contractual Execution Languages
Course code
COMP4002
Units
6
Course name
Computer Science Thesis B
Course code
COMP4801
Units
6
Course name
Computer Science Thesis C
Course code
COMP4802
Units
6

Complete 0 to 12 units comprising:

Course name Course code Units
Year 1
Semester 1
Course name
Problem Solving and Programming
Course code
COMP1002
Units
6
Course name
Structured Data
Course code
COMP1003
Units
6
Course name
Computing Innovations in the Modern World
Course code
COMP1015
Units
6
Course name
Information Technology Systems
Course code
INFO1012
Units
6
Semester 2
Course name
Object-Oriented Programming
Course code
COMP1005
Units
6
Course name
System Requirements
Course code
INFO1013
Units
6
Course name
Security Foundations
Course code
INFO1016
Units
6
Course name
Foundations in Mathematics
Course code
MATH1000
Units
6
Year 2
Semester 1
Course name
Probability and Statistics
Course code
STATX100
Units
6
Course name
Maths for Machine Learning
Course code
MATH1022
Units
6
Course name
Software Development Practice
Course code
COMP2021
Units
6
Course name
Artificial Intelligence
Course code
ARTI2003
Units
6
Semester 2
Course name
Cloud and Concurrent Programming
Course code
COMP3011
Units
6
Course name
Machine Learning
Course code
ARTI2001
Units
6
Course name
Data Structures and Algorithms
Course code
COMP2017
Units
6
Course name
Professional Communication and Teamwork
Course code
INFO2032
Units
6
Year 3
Semester 1
Course name
Grand Challenges
Course code
COMP2040
Units
6
Course name
Neural Networks and Deep Learning
Course code
ARTIX300
Units
6
Course name
Advanced Data Structures and Algorithms
Course code
COMP3008
Units
6
Semester 2
Course name
Advanced Artificial Intelligence
Course code
ARTI3002
Units
6
Course name
High Performance Computing
Course code
COMP2007
Units
6
Year 4
Semester 1
Course name
Database Theory and Models
Course code
COMP4003
Units
6
Course name
Computer Science Thesis A
Course code
COMP4800
Units
6
Course name
Quantitative Methods
Course code
MATH4048
Units
6
Semester 2
Course name
Large Language Models and Knowledge Representation
Course code
COMP4001
Units
6
Course name
Distributed Ledger and Contractual Execution Languages
Course code
COMP4002
Units
6
Course name
Computer Science Thesis B
Course code
COMP4801
Units
6
Course name
Computer Science Thesis C
Course code
COMP4802
Units
6
career outcomes

Career outcomes

Career prospects in AI and machine learning are excellent, with a strong job growth predicted in the coming years. Completion of an Adelaide University degree combined with your practical experience will open numerous opportunities in this progressive field.  

The developing nature of AI and machine learning means it is being adopted as a preferred method of streamlining processes across a range of industries. From technology companies to start-ups, business organisations and large companies, your expertise will be in high demand. 

You might develop the next ‘AI-powered chef’, a system that can create new recipes and optimise cooking processes for those with busy lives. You could apply machine learning to analyse wildlife patterns and track endangered species using smart camera systems to prevent poaching and extinction. Perhaps you’ll work with museums, galleries and digital art platforms to create software that analyses and categorises artwork.  

Careers to consider include: 

  • AI engineer 
  • ML specialist 
  • Computer scientist 
  • Computer programmer 
  • Game AI programmer 
  • LLM prompt engineer.  

Industry trends 

Currently, strong AI adoption can be seen across sectors like financial and professional services and information/communication technology. An estimated A$280 billion of economic benefits is expected for other Australian businesses in 2030 if they adopt AI-powered products and tools (Google, 2024) – adding over $22 trillion to the global economy (Australian Government, 2024). This significant growth and adoption of AI and machine learning in recent years, indicates we can anticipate greater advancements and developments moving forward. 

To implement these technological changes, there will be an increase in demand for AI-skilled workers who can spearhead these new technologies and transform everyday businesses. Adelaide University’s computer science degree will equip you with the skills and knowledge to become a leader in the advancement of these innovative industry technologies. 

Accreditation

This program is provisionally accredited at the level of Professional by the Australian Computer Society (ACS). Graduates are eligible for membership with the ACS and are recognised internationally through the Seoul Accord.

Ready to apply?

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Check your eligibility

Before you begin, find the degree you wish to study and check you meet the academic entry requirements and English language requirements.

Entry requirements
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Gather your relevant documents

Ensure you have all supporting documentation needed at the time of application to avoid delays.

How to apply
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Complete and send your application

Apply through one of the University’s official agency partners, or via our online application system.

Apply now

Please note that a non-refundable application fee of AUD$150 applies for every application submitted to Adelaide University.

How to Apply

How to apply

Applications for international students are open now, to begin your studies in 2026. 

Apply through one of the University’s official Education Agents, or via our International Application System.  

Find an Education Agent 

Depending on your country of citizenship, you may be required to apply through one of our Education Agents. 

Find an education agent in your country

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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 study experience

Your campus

You'll be studying at one of our renowned campuses, accessing cutting-edge facilities and contemporary study spaces. 

This degree is offered at the following campus(es)

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. 
Graduates

Explore Adelaide University

Accommodation options

Considering calling Adelaide home? Explore accommodation options to find a place that's right for you.

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Rundle Mall shopping

Life in Adelaide

Discover why Adelaide is one of the most liveable cities in the world.

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Ebenezer Place shopping and cafes, bikes, bicycles

Scholarships

Our scholarships can provide the helping hand you need to transition into university life.

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Taken during Orientation Week
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