Bachelor of Computer Science (Honours) majoring in Artificial Intelligence and Machine Learning
Adelaide University
Type of institution: University/Higher Education Institution
Level: Undergraduate
CRICOS: 04249J
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.
Structure
192 units
Subjects
- Problem Solving and Programming COMP1002
- Structured Data COMP1003
- Object-Oriented Programming COMP1005
- Computing Innovations in the Modern World COMP1015
- Data Structures and Algorithms COMP2017
- Software Development Practice COMP2021
- Grand Challenges COMP2040
- Information Technology Systems INFO1012
- System Requirements INFO1013
- Security Foundations INFO1016
- Professional Communication and Teamwork INFO2032
- Foundations in Mathematics MATH1000
- Large Language Models and Knowledge Representation COMP4001
- Distributed Ledger and Contractual Execution Languages COMP4002
- Database Theory and Models COMP4003
- Computer Science Thesis A COMP4800
- Computer Science Thesis B COMP4801
- Computer Science Thesis C COMP4802
- Quantitative Methods MATH4048
- Machine Learning ARTI2001
- Artificial Intelligence ARTI2003
- Advanced Artificial Intelligence ARTI3002
- Neural Networks and Deep Learning ARTIX300
- High Performance Computing COMP2007
- Advanced Data Structures and Algorithms COMP3008
- Cloud and Concurrent Programming COMP3011
- Maths for Machine Learning MATH1022
- Probability and Statistics STATX100
- Intensive Computing Project COMP3900
- ICT Internship 1 COMP4901
- ICT Internship 2 COMP4902
- ICT Internship 3 COMP4903
- ICT Internship 4 COMP4904
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: $213,200 | No |
|
